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SPIRES-BOOKS: FIND KEYWORD DATA STRUCTURES COMPUTER SCIENCE *END*INIT* use /tmp/qspiwww.webspi1/19063.41 QRY 131.225.70.96 . find keyword "data structures computer science" ( in books using www Cover
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Call number:9783662497258:ONLINE Show nearby items on shelf
Title:Quantum Information Theory Mathematical Foundation
Author(s): Masahito Hayashi
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XLIII, 636 p. 24 illus., 1 illus. in color p.)
Contents:Invitation to Quantum Information Theory -- History of Quantum Information Theory -- The Structure of this Text -- Mathematical Formulation of Quantum Systems -- Information Quantities and Parameter Estimation in Classical Systems --
Quantum Hypothesis Testing and Discrimination of Quantum States -- Classical-Quantum Channel Coding (Message Transmission) -- State Evolution and Trace-Preserving Completely Positive Maps -- Quantum Information Geometry and Quantum
Estimation -- Quantum Measurements and State Reduction -- Entanglement and Locality Restrictions -- Analysis of Quantum Communication Protocols
ISBN:9783662497258
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Data structures (Computer science) , Information theory , Quantum computers , Spintronics , Physics , Quantum Information Technology, Spintronics , Quantum Computing , Mathematical Methods in Physics , Data Structures, Cryptology and Information Theory , Information and Communication, Circuits
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Call number:9783319477053:ONLINE Show nearby items on shelf
Title:Econophysics and Sociophysics: Recent Progress and Future Directions
Author(s):
Date:2017
Size:1 online resource (VIII, 256 p. 85 illus., 77 illus. in color p.)
Contents:Anindya S. Chakrabarti, Topology of the international trade network: size, asymmetry and volatility -- Attilio Stella, Optimal growth in the network of global economy -- Bikas K. Chakrabarti, Inequality in Societies, Academic
Institutions & Science Journals: Gini & k-indices -- Damien Challet, Market nanostructure insight into market stylized facts -- Deepak Dhar, Dynamical networks of agents with degree preference -- Diego Garlaschelli, Network
reconstruction, systemic risk, and early-warning signals -- Dipankar Gupta, Boundaries, Transgressions and Disciplinary Dynamics -- Emanuele Pugliese, New Metrics for Economic Complexity -- Fabrizio Lillo, Complex network methods for
systemic risk assessment -- Frédéric Abergel, Imperfections of financial markets: a limit order book perspective -- Harbir Lamba, Modelling momentum traders in a financial market using Prandtl-Ishlinskii operators -- Hideaki Aoyama,
Deflation and Money -- Irena Vodenska, Bi-partite network approach to predictability of financial markets and news sentiments -- János Kertész, Kinetics of Social Contagion -- Joshin Murai, A model of order signs under multiple order
splitting and public information -- Karmeshu, Stochastic Modelling of High Frequency Intra-day Stock Returns: Emergence of Cubic Power-Law -- Kimmo Kaski, Social Physics: Studies of in vivo / in situ human sociality -- Kousik
Guhathakurta, Comparing the complexity of emerging and developed stock markets using recurrence network analysis -- M.S. Santhanam, Records statistics and financial time series -- Marco Patriarca, The microscopic origin of the Pareto
law and other power-law distributions -- Matteo Marsili, Complexity driven collapse of economic equilibria -- Michele Caraglio, Bridging intraday and interday market behavior through scaling -- Parongama Sen, Segregation dynamics with
continuously varying utility factor -- Sandeep Juneja, Nearest neighbor based and other popular methods for pricing Bermudan options -- Sitabhra Sinha, Loss of structural balance in the network of cross-correlations characterizing a
financial market signals the onset of major economic crisis -- Stanislao Gualdi, A dynamic model of input-output production networks: general equilibrium stability and emergence of scale-free structures -- Taisei Kaizoji, Why does the
power law for share price hold? -- Takaaki Ohnishi, Real estate valuation using k-nearest neighbor regression -- Takayuki Mizuno, Statistically detecting stock bubbles before they burst -- Victor Yakovenko, Economic inequality from
statistical physics point of view -- Yoshi Fujiwara, Quantifying Financial Distress in a Nation-wide Production Network -- Yoshiyuki Arata, Macroeconomic Consequences of Lumpy Investment under Uncertainty -- Youngna Choi, Tracking
Financial Instability Contagion: modeling and data calibration -- Yuichi Ikeda, Community and Controllability of Global Production Network: Focusing on the Economic Crisis of 2008
ISBN:9783319477053
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Statistics , Physics , Data-driven Science, Modeling and Theory Building , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Applications of Graph Theory and Complex Networks
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Call number:SPRINGER-2016-9783319320854:ONLINE Show nearby items on shelf
Title:Geometry, Algebra and Applications: From Mechanics to Cryptography
Author(s):
Date:2016
Size:1 online resource (198 p.)
Note:10.1007/978-3-319-32085-4
Contents:1 W. Batat, P. M. Gadea, J. A. Oubiña, A survey on homogeneous structures on the classical hyperbolic spaces -- 2 A. Bejancu, On the (1 + 3) threading of spacetime -- 3 M. Brozos-Vázquez, E. Calviño-Louzao, E. García-Río, R. Vázquez-Lorenzo, L ocal structure of self-dual gradient Yamabe solitons -- 4 G. Calvaruso, The prescribed curvature problem in low dimension -- 5 M. Castrillón López, P. L. García, Euler-Poincare reduction by a subgroup of symmetries as an optimal control problem -- 6 M. Castrillón López, T. S. Ratiu, Morse families and Lagrangian submanifolds -- 7 R. Durán Díaz, L. Hernández Encinas, Special primes: properties and applications -- 8 F. Etayo, Rotation Minimizing vector fields and frames in Riemannian manifolds -- 9 R. Ferreiro Pérez, Local anomaly cancellation and equivariant cohomology of jet bundles -- 10 A. Fúster-Sabater, F. Montoya Vitini, Classes of nonlinear filters for stream ciphers -- 11 V. Gayoso Martínez, L. Hernández Encinas, A. Martín Muñoz,
Implementation of cryptographic algorithms for elliptic curves -- 12 R. Hernández-Amador, J. Monterde, J. Vallejo, Supermanifolds, symplectic geometry and curvature -- 13 A. Marcelo, F. Marcelo, C. Rodríguez, Prime submodules and symmetric algebra s -- 14 A. Martín del Rey, G. Rodríguez Sánchez, Application to cybersecurity of the stability theory of the systems of ordinary differential equations -- 15 I. V. Mykytyuk, On the non-triviality of the eight-form T4(w) on manifolds with a Spin(9)-stru cture -- 16 A. Peinado, Flaws in the application of Number Theory in Key Distribution Schemes for Multicast Networks -- 17 L. Pozo, E. Rosado, Einstein-Hilbert Lagrangian induced on the linear frame bundle
ISBN:9783319320854
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 161
Keywords: Mathematics , Data structures (Computer science) , Data encryption (Computer science) , Coding theory , Differential geometry , Mathematical physics , Mathematics , Mathematical Physics , Differential Geometry , Data Encryption , Data Structures , Coding and Information Theory
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Call number:SPRINGER-2016-9783319218915:ONLINE Show nearby items on shelf
Title:Quantum Information Processing with Finite Resources Mathematical Foundations
Author(s): Marco Tomamichel
Date:2016
Edition:1st ed. 2016
Size:1 online resource (138 p.)
Note:10.1007/978-3-319-21891-5
Contents:Introduction -- Finite Resource Information Theory 1.2 Motivating Example -- Outline of the Book -- Modeling Quantum Information -- General Remarks on Notation -- Linear Operators and Events -- Functionals and States -- Multi-Partite
Systems -- Functions on Positive Operators -- Quantum Channels -- Background and Further Reading -- Norms and Metrics -- Norms for Operators and Quantum States -- Trace Distance -- Fidelity -- Purified Distance -- Background and
Further Reading -- Quantum Rényi Divergence -- Classical Rényi Divergence -- Classifying Quantum Rényi Divergences -- Minimal Quantum Rényi Divergence -- Petz Quantum Rényi Divergence -- Background and Further Reading -- Conditional
Rényi Entropy -- Conditional Entropy from Divergence -- Definitions and Properties.-Duality Relations and their Applications -- Chain Rules -- Background and Further Reading -- Smooth Entropy Calculus -- Min- and Max-Entropy -- Smooth
Entropies -- Properties of the Smooth Entropies -- Fully Quantum Asymptotic Equipartition Property -- Background and Further Reading -- Selected Applications -- Binary Quantum Hypothesis Testing -- Entropic Uncertainty Relations --
Randomness Extraction -- Background and Further Reading -- A Some Fundamental Matrix Analysis Results -- References
ISBN:9783319218915
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:SpringerBriefs in Mathematical Physics: 5
Keywords: Physics , Data structures (Computer science) , Quantum computers , Quantum physics , Spintronics , Physics , Quantum Physics , Quantum Computing , Data Structures, Cryptology and Information Theory , Quantum Information Technology, Spintronics
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Call number:SPRINGER-2014-9789462390331:ONLINE Show nearby items on shelf
Title:Compressed Data Structures for Strings [electronic resource] : On Searching and Extracting Strings from Compressed Textual Data
Author(s): Rossano Venturini
Date:2014
Publisher:Paris : Atlantis Press : Imprint: Atlantis Press
Size:1 online resource
Note:Data compression is mandatory to manage massive datasets, indexing is fundamental to query them. However, their goals appear as counterposed: the former aims at minimizing data redundancies, whereas the latter augments the datasetwith auxiliary infor mation to speed up the query resolution. In this monograph we introduce solutions that overcome this dichotomy. We start by presenting the use of optimization techniques to improve the compression of classical datacompression algorithms, then we move to t he design of compressed data structures providing fast random access or efficient pattern matching queries on the compressed dataset. These theoretical studies are supported by experimentalevidences of their impact in practical scenarios
Contents:Introduction
Basic concepts
Optimally partitioning a text to improve its compression
Bit
complexity of Lempel
Ziv compression
Fast random access on compressed data
Experiments on compressed full
text indexing
Dictionary indexes
Future directions of research
ISBN:9789462390331
Series:eBooks
Series:SpringerLink
Series:Atlantis Studies in Computing, 2212-8557 : v4
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science
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Call number:SPRINGER-2014-9784431547778:ONLINE Show nearby items on shelf
Title:Finite Sample Analysis in Quantum Estimation [electronic resource]
Author(s): Takanori Sugiyama
Date:2014
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:In this thesis, the author explains the background of problems in quantum estimation, the necessary conditions required for estimation precision benchmarks that are applicable and meaningful for evaluating data in quantuminformation experiments, and provides examples of such benchmarks. The author develops mathematical methods in quantum estimation theory and analyzes the benchmarks in tests of Bell-type correlation and quantum tomography with thosemethods. Above all, a set of explicit formulae for e valuating the estimation precision in quantum tomography with finite data sets is derived, in contrast to the standard quantum estimation theory, which can deal only with infinitesamples. This is the first result directly applicable to the evaluation of e stimation errors in quantum tomography experiments, allowing experimentalists to guarantee estimation precision and verify quantitatively that theirpreparation is reliable
Contents:Introduction
Quantum Mechanics and Quantum Estimation Background and Problems in Quantum Estimation
Mathematical Statistics Basic Concepts and Theoretical Tools for Finite Sample Analysis
Evaluation of Estimation Precision in Test of Bell
type Correlations
Evaluation of Estimation Precision in Quantum Tomography
Improvement of Estimation Precision by Adaptive Design of Experiments
Summary and Outlook
ISBN:9784431547778
Series:eBooks
Series:SpringerLink
Series:Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Series:Physics and Astronomy (Springer-11651)
Keywords: Data structures (Computer science) , Quantum theory
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Call number:SPRINGER-2014-9783642549595:ONLINE Show nearby items on shelf
Title:A Primer on Scientific Programming with Python [electronic resource]
Author(s): Hans Petter Langtangen
Date:2014
Edition:4th ed. 2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics,numerical calculus, st atistics, physics, biology and finance. The book teaches Matlab-style and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageousto study classical and numerical one-variable c alculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of scienceand engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objectsand functions and embracing the object-oriented paradigm. Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python on the streets could be alittle jealous of students who have the opportunity to take a course out of Langtangens Primer. John D. Cook, The Mathematical Association of Am erica, September 2011 This book goes through Python in particular, and programmingin general, via tasks that scientists will likely perform. It contains valuable informationfor students new to scientific computing and would be the perfect bridge between a n introduction to programming and an advanced course onnumerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March/April 2012
Contents:Preface
Computing with Formulas
Loops and Lists
Functions and Branching
User Input and Error Handling
Array Computing and Curve Plotting
Dictionaries and Strings
Introduction to Classes
Random Numbers and Simple Games
Object
Oriented Programming
Sequences and Difference Equations
Introduction to Discrete Calculus
Introduction to Differential Equations
A Complete Differential Equation Project
Programming of Differential Equations
Debugging
Migrating Python to Compiled Code
Technical Topics
Bibliography
Index
ISBN:9783642549595
Series:eBooks
Series:SpringerLink
Series:Texts in Computational Science and Engineering, 1611-0994 : v6
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Computer science
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Call number:SPRINGER-2014-9783642344442:ONLINE Show nearby items on shelf
Title:Neuromathematics of Vision [electronic resource]
Author(s): Giovanna Citti
Alessandro Sarti
Date:2014
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:This book is devoted to the study of the functional architecture of the visual cortex. Its geometrical structure is the differential geometry of the connectivity between neural cells. This connectivity is building and shapingthe hidden brain structur es underlying visual perception. The story of the problem runs over the last 30 years, since the discovery of Hubel and Wiesel of the modular structure of the primary visual cortex, and slowly cams towards atheoretical understanding of the experimental da ta on what we now know as functional architecture of the primary visual cortex. Experimental data comes from several domains: neurophysiology, phenomenology of perception andneurocognitive imaging. Imaging techniques like functional MRI and diffusion tens or MRI allow to deepen the study of cortical structures. Due to this variety of experimental data, neuromathematematics deals with modelling bothcortical structures and perceptual spaces. From the mathematical point of view, neuromathematical call for new instruments of pure mathematics: sub-Riemannian geometry models horizontal connectivity, harmonic analysis in noncommutative groups allows to understand pinwheels structure, as well as non-linear dimensionality reduction is at the base of many neural mor phologies and possibly of the emergence of perceptual units. But at the center of theneurogeometry is the problem of harmonizing contemporary mathematical instruments with neurophysiological findings and phenomenological experiments in an unitary science of vision. The contributions to this book come from the veryfounders of the discipline
Contents:Landmarks for Neurogeometry
Shape, Shading, Brain and Awareness
From functional architectures to percepts: a neuro mathematical Approach
Cuspless Sub
Riemannian Geodesics within the Euclidean Motion Group SE(d)
Psychophysics, Gestalts and Games
Remarks on invariance in the primary visual systems of mammals
Hebbian Learning of the Statistical and Geometrical Structure of Visual Input
ISBN:9783642344442
Series:eBooks
Series:SpringerLink
Series:Lecture Notes in Morphogenesis, 2195-1934
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Biomedical engineering , Consciousness
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Call number:SPRINGER-2014-9783319054735:ONLINE Show nearby items on shelf
Title:Quantum Chance [electronic resource] : Nonlocality, Teleportation and Other Quantum Marvels
Author(s): Nicolas Gisin
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Copernicus
Size:1 online resource
Note:Quantum physics, which offers an explanation of the world onthe smallestscale, has fundamental implications that pose a serious challenge to ordinary logic. Particularly counterintuitive is the notion of entanglement, whichhas been explored for the p ast 30 years and posits an ubiquitous randomness capable of manifesting itself simultaneously in more than one place. This amazing 'non-locality' is more than just an abstractcuriosity or paradox: it hasentirely down-to-earth applications in cryptography, serving for exampleto protect financial information it also has enabled the demonstration of 'quantum teleportation', whose infinite possibilities even science-fiction writers canscarcely imagine. This delightful and conciseexposition does notavoid thede ep logical difficulties of quantum physics, but gives the reader the insights needed to appreciate them. From 'Bell's Theorem' to experiments in quantumentanglement, the reader will gain asolid understanding of one of the most fascinating areas of contemp orary physics
Contents:Foreword
Preface
Introduction
Appetiser
Local and Nonlocal Correlations
Nonlocality and True Randomness
Impossibility of Quantum Cloning
Quantum Entanglement
Experiment
Applications
Quantum Teleportation
Is Nature Really Nonlocal?
Current Research on Nonlocality
Conclusion
ISBN:9783319054735
Series:eBooks
Series:SpringerLink
Series:Physics and Astronomy (Springer-11651)
Keywords: Data structures (Computer science) , Quantum theory
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Call number:SPRINGER-2014-9783319045375:ONLINE Show nearby items on shelf
Title:Sparse Grids and Applications - Munich 2012 [electronic resource]
Author(s): Jochen Garcke
Dirk Pflger
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Sparse grids have gained increasing interest in recent years for the numerical treatment of high-dimensional problems. Whereas classical numerical discretization schemes fail in more than three or four dimensions, sparse gridsmake it possible to over come the curse of dimensionality to some degree, extending the number of dimensions that can be dealt with. This volume of LNCSE collects the papers from the proceedings of the second workshop on sparsegrids and applications, demonstrating once again the importance of this numerical discretization scheme. The selected articles present recent advances on the numerical analysis of sparse grids as well as efficient data structures, andthe range of applications extends to uncertainty quantification settings a nd clustering, to name but a few examples
Contents:Gerrit Buse, Dirk Pfluger, and Riko Jacob: Efficient Pseudorecursive Evaluation Schemes for Non
Adaptive Sparse Grids
Oliver G. Ernst and Bjorn Sprungk: Stochastic Collocation for Elliptic PDEs with Random Data The Lognormal Case
Michael Griebel and Helmut Harbrecht: On the Convergence of the Combination Technique
Michael Griebel and Jan Hamaekers: Fast Discrete Fourier Transform on Generalized Sparse Grids
Michael Griebel and Jens Oettershagen: Dimension
adaptive Sparse Grid Quadrature for Integrals with Boundary Singularities
Max Gunzburger, Clayton G. Webster, and Gua
ISBN:9783319045375
Series:eBooks
Series:SpringerLink
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v97
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Computer science
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Call number:SPRINGER-2014-9783319014272:ONLINE Show nearby items on shelf
Title:Multi-Band Effective Mass Approximations [electronic resource] : Advanced Mathematical Models and Numerical Techniques
Author(s): Matthias Ehrhardt
Thomas Koprucki
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book addresses several mathematical models from the most relevant class of kp-Schrdinger systems. Both mathematical models and state-of-the-art numerical methods for adequately solving the arising systems of differentialequations are presented. The operational principle of modern semiconductor nano structures, such as quantum wells, quantum wires or quantum dots, relies on quantum mechanical effects. The goal of numerical simulations using quantummechanical models in the development of semicondu ctor nano structures is threefold: First they are needed for a deeper understanding of experimental data and of the operational principle. Secondly, they allow us to predict and optimizein advance the qualitative and quantitative properties of new devices in order to minimize the number of prototypes needed. Semiconductor nano structures are embedded as an active region in semiconductor devices. Thirdly and finally,the results of quantum mechanical simulations of semiconductor nano structures can be used with upscaling methods to deliver parameters needed in semi-classical models for semiconductor devices, such as quantum well lasers. This bookcovers in detail all these three aspects using a variety of illustrative examples. Readers will gain detailed ins ights into the status of the multiband effective mass method for semiconductor nano structures. Both users of the kpmethod as well as advanced researchers who want to advance the kp method further will find helpful information on how to best work with thi s method and use it as a tool for characterizing the physical properties of semiconductor nanostructures. The book is primarily intended for graduate and Ph.D. students in applied mathematics, mathematical physics and theoretical physics, as well as all t hose working in quantum mechanical research or the semiconductor /opto-electronic industry who are interested in new mathematical aspects
Contents:Introduction
Part I: Physical Models
Part II: Numerical Methods
Part III: Applications
Part IV: Advanced Mathematical Topics
ISBN:9783319014272
Series:eBooks
Series:SpringerLink
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v94
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial , Computer science Mathematics , Quantum theory , Mathematical physics
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Call number:SPRINGER-2014-9781461479000:ONLINE Show nearby items on shelf
Title:XML and Web Technologies for Data Sciences with R [electronic resource]
Author(s): Deborah Nolan
Duncan Temple Lang
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Web technologies are increasingly relevant to scientists working with data, for both accessing data and creating rich dynamic and interactive displays. The XML and JSON data formats are widely used in Web services, regular Webpages and JavaScript cod e, and visualization formats such as SVG and KML for Google Earth and Google Maps. In addition, scientists use HTTP and other network protocols to scrape data from Web pages, access REST and SOAP Web Services,and interact with NoSQL databases and text sea rch applications. This book provides a practical hands-on introduction to these technologies, including high-level functions the authors have developed for data scientists. It describesstrategies and approaches for extracting data from HTML, XML, and JSON formats and how to programmatically access data from the Web. Along with these general skills, the authors illustrate several applications that are relevant todata scientists, such as reading and writing spreadsheet documents both locally and via GoogleD ocs, creating interactive and dynamic visualizations, displaying spatial-temporal displays with Google Earth, and generating code fromdescriptions of data structures to read and write data. These topics demonstrate the rich possibilities and opportunities to do new things with these modern technologies. The book contains many examples and case-studies thatreaders can use directly and adapt to their own work. The authors have focused on the integration of these technologies with the R statistical computing environment. However, the ideas and skills presented here are more general,and statisticians who use other computing environments will also find them relevant to their work. Deborah Nolan is Professor of Statistics at University of California, Berkeley. Duncan Temple Lang is Associate Professor of Statisticsat University of California, Davis and has been a member of both the S and R development teams
Contents:Data Formats XML and JSON
Web Technologies, Getting Data from the Web
General XML Application Areas
Bibliography
General Index
R Function and Parameter Index
R Package Index
R Class Index
Colophon
ISBN:9781461479000
Series:eBooks
Series:SpringerLink
Series:Use R!, 2197-5736
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical statistics
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Call number:SPRINGER-2013-9781461468684:ONLINE Show nearby items on shelf
Title:Seamless R and C++ Integration with Rcpp [electronic resource]
Author(s): Dirk Eddelbuettel
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finallyaccessible to most R users. Rc pp should be part of every statistician's toolbox. Michael Braun, MIT Sloan School of Management Seamless R and C++ Integration with Rcpp is simply a wonderful book. For anyone who uses C/C++and R, it is an indispensable resource. The writing is outstandi ng. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside whichenables you to use R inside C++. These applications are what most of us need to know to rea lly do scientific programming with R and C++. I love this book. Robert McCulloch, University of Chicago Booth School of Business Rcpp isnow considered an essential package for anybody doing serious computational research using R. Dirk's book is an excelle nt companion and takes the reader from a gentle introduction to more advanced applications via numerous examples andefficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen etc.), modules, package development and sugar. Overall, this book is a must-have on yourshelf. Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C+ + code, one has R's data structures readily at hand for furthercomputations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these development s, and his book takes the reader from thefirst fragile steps on to using the full Rcpp machinery. A very recommended book! Sren Hjsgaard, Department of Mathematical S
Note:Springer eBooks
Contents:Preface
Introduction
A Gentle Introduction to Rcpp
Tools and Setup
Core Data Types
Data Structures: Part One
Data Structures: Part Two
Advanced Topics
Using Rcpp in your package
Extending Rcpp
Modules
Sugar
Applications
RInside
RcppArmadillo
RcppGSL
RcppEigen Appendix
C++ for R programmers
Indices
References
ISBN:9781461468684
Series:e-books
Series:SpringerLink (Online service)
Series:Use R! : v64
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical statistics
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Call number:SPRINGER-2013-9781461462774:ONLINE Show nearby items on shelf
Title:Networks Against Time [electronic resource] : Supply Chain Analytics for Perishable Products
Author(s): Anna Nagurney
Min Yu
Amir H Masoumi
Ladimer S Nagurney
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chainnetwork analytics framewo rk is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food andfrom fashion apparel to technology. This Brie f provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability ofthe product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustratethe power of the framework in practice. The models and algorithms are fully described alon g with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and forapplications in practice. Researchers and practitioners in mathematics, in operations research and management sc ience, operations management, as well as in economics and computer science will find this book useful to gain a broaderappreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced und ergraduate students and graduate students in the disciplines noted above to familiarize themselveswith methodologies and supply chain network models and applications
Note:Springer eBooks
Contents:1. Introduction and Scope
2. Blood Supply Chains
3. Medical Nuclear Supply Chains
4. Food Supply Chains
5. Pharmaceutical Supply Chains
6. Fast Fashion Apparel Supply Chains
References.
ISBN:9781461462774
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization
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Call number:SPRINGER-2013-9781447148173:ONLINE Show nearby items on shelf
Title:Polyhedral and Algebraic Methods in Computational Geometry [electronic resource]
Author(s): Michael Joswig
Thorsten Theobald
Date:2013
Publisher:London : Springer London : Imprint: Springer
Size:1 online resource
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Note:Polyhedral and Algebraic Methods in Computational Geometry provides a thorough introduction into algorithmic geometry and its applications. It presents its primary topics from the viewpoints of discrete, convex and elementaryalgebraic geometry. The f irst part of the book studies classical problems and techniquesthat refer to polyhedral structures. The authors include a study on algorithms for computing convex hulls as well as the construction ofVoronoi diagrams and Delone triangulations. The second p art of the book develops the primary concepts of (non-linear) computational algebraic geometry. Here, the book looks at Grbner bases and solving systems of polynomialequations. The theory is illustrated by applications in computer graphics, curve reconstr uction and robotics. Throughout the book, interconnections between computational geometry and other disciplines (such as algebraic geometry,optimization and numerical mathematics) are established. Polyhedral and Algebraic Methods in Computational Geometry is directed towards advanced undergraduates in mathematics and computer science, as well as towards engineeringstudents who are interested in the applications of computational geometry
Note:Springer eBooks
Contents:Introduction and Overview
Geometric Fundamentals
Polytopes and Polyhedra
Linear Programming
Computation of Convex Hulls
Voronoi Diagrams
Delone Triangulations
Algebraic and Geometric Foundations
Grbner Bases and Buchbergers Algorithm
Solving Systems of Polynomial Equations Using Grbner Bases
Reconstruction of Curves
Plcker Coordinates and Lines in Space
Applications of Non
Linear Computational Geometry
Algebraic Structures
Separation Theorems
Algorithms and Complexity
Software
Notation
ISBN:9781447148173
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext, 0172-5939
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Algebra Data processing , Algorithms , Geometry , Discrete groups
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Call number:SPRINGER-2012-9783642290008:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource] : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks society can be regarded as a complex system. In recent years, scientists have made great progress inunderstanding how such complex systems operate, rang ing from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emergespontaneously as a consequence of their interactions: they are said to be self-organized. Attempts to direct or manage such emergent properties generally reveal that top-down approaches, which try to dictate a particularoutcome, are ineffectual, and that what is needed instead is a bottom-up approach that aims to guide self-org anization towards desirable states. This book shows how some of these ideas from the science of complexity can beapplied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and struct ure of cities. Building on these successes, the book argues that the complex-systems view ofthe social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimatelypredicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its inter actions with the physical environment to beexplored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions
Note:Springer eBooks
Contents:Society: a Complex Problem
On the Road: Predicting traffic
Every Move You Make: Patterns of crowd movement
Making Your Mind Up: Norms and decisions
Broken Windows: The spread and control of crime
The Social Web: Networks and their failures
Spreading It Around: Mobility, disease and epidemics
After the Crash: Economic and financial systems
Love Thy Neighbour: How to foster cooperation
Living Cities: Urban development as a complex system
The Transformation of War: Modelling modern conflict
Towards a Living Earth Simulator: The FuturICT Project
ISBN:9783642290008
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Engineering , Economics , Social sciences Methodology
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Call number:SPRINGER-2012-9783642225581:ONLINE Show nearby items on shelf
Title:The Crossing of Heaven [electronic resource] Memoirs of a Mathematician
Author(s): Karl Gustafson
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:As one of the most prolific mathematicians of our time, Karl Gustafson has been a central figure in the astonishing technological revolution of the last half-centurya revolution which has transformed human life. This, his ownaccount of his journey th rough those decades, takes the reader from his early pioneering work in computing and espionage, where his contribution was vital to the American Cold War effort, to his observations on core contemporary issuessuch as the stability of the worlds financial system. Gustafsons crucial role in top-secret military intelligence, which saw him tracking Russian submarines, intercepting electronic intelligence and writing the software forAmericas first spy satellite, is related here for the first time. His narrati ve includes fascinating encounters with Nobel laureates and figures of historical importance, the European post-doctoral fellowships that expanded hisperspectives on science and life, and hair-raising stories from his early rock-climbing days including br ushes with death then and later, such as being struck by lightning and knocked unconscious near a mountain top. Gustafsonswide-ranging mathematical accomplishments have led to invitations and travel throughout the world, and he tells of the greatand at ti mes strangepersonalities he has met along the way. His unique journey has included hard knocksand beautiful women, who have, as he likes to say, added to the great adventure
Note:Springer eBooks
Contents:Preface
1 The Child in Iowa
2 The Boy in Boulder
3 The Student in Poverty
4 Computers and Espionage
5 First Publication
6 Into Academia
7 The World Opens
8 Personas and Personalities
9 Wives, Lovers, Friends
10 Close Calls
11 Mathematics
12 High Finance
13 The Improbabilities
14 Realities
15 The Crossing of Heaven
Appendix
ISBN:9783642225581
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Finance , Computer science Mathematics
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Call number:SPRINGER-2012-9783642172830:ONLINE Show nearby items on shelf
Title:CGAL Arrangements and Their Applications [electronic resource] : A Step-by-Step Guide
Author(s): Efi Fogel
Dan Halperin
Ron Wein
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Arrangements of curves constitute fundamental structures that have been intensively studied in computational geometry. Arrangements have numerous applications in a wide range of areas examples include geographic informationsystems, robot motion plan ning, statistics, computer-assisted surgery and molecular biology. Implementing robust algorithms for arrangements is a notoriously difficult task, and the CGAL arrangements package is the first robust,comprehensive, generic and efficient implementation o f data structures and algorithms for arrangements of curves. This book is about how to use CGAL two-dimensional arrangements to solve problems. The authors first demonstrate thefeatures of the arrangement package and related packages using small example programs. They then describe applications, i.e., complete standalone programs written on top of CGAL arrangements used to solve meaningful problems forexample, finding the minimum-area triangle defined by a set of points, planning the motion of a polygon translating among polygons in the plane, computing the offset polygon, finding the largest common point sets under approximatecongruence, constructing the farthest-point Voronoi diagram, coordinating the motion of two discs moving among obstacles in the plane, and performing Boolean operations on curved polygons. The book contains comprehensiveexplanations of the solution programs, many illustrations, and detailed notes on further reading, and it is supported by a website that contains downloadable soft ware and exercises. It will be suitable for graduate students andresearchers involved in applied research in computational geometry, and for professionals who require worked-out solutions to real-life geometric problems. It is assumed that the reader is f amiliar with the C++ programming-language andwith the basics of the generic-programming paradigm
Note:Springer eBooks
Contents:Introduction
Basic Arrangements
Queries and Free Functions
Arrangements of Unbounded Curves
Arrangement
Traits Classes
Extending the Arrangement
Adapting to Boost Graphs
Operations on (Curved) Polygons
Minkowski Sums and Offset Polygons
Envelopes
Prospects
Bibliography
Index
ISBN:9783642172830
Series:e-books
Series:SpringerLink (Online service)
Series:Geometry and Computing, 1866-6795 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science , Computer vision , Geometry , Engineering mathematics
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Call number:SPRINGER-2012-9781461452867:ONLINE Show nearby items on shelf
Title:Data Correcting Approaches in Combinatorial Optimization [electronic resource]
Author(s): Boris Goldengorin
Panos M Pardalos
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Data Correcting Approaches in Combinatorial Optimization focuses on algorithmic applications of thewell known polynomially solvable special cases of computationally intractable problems. The purpose of this text is to designpractically efficient algo rithms for solving wide classes of combinatorial optimization problems. Researches, students and engineers will benefit from new bounds and branching rules in development efficient branch-and-bound typecomputational algorithms. This book examines applicat ions for solving the Traveling Salesman Problem and its variations, Maximum Weight Independent Set Problem, Different Classes of Allocation and Cluster Analysis as well as someclasses of Scheduling Problems. Data Correcting Algorithms in Combinatorial Opt imization introduces the data correcting approach to algorithms which provide an answer to the following questions: how to construct a bound to theoriginal intractable problem and findwhich element of the corrected instance one should branch such that the total size of search tree will be minimized. The PC time needed for solving intractable problems will be adjusted with therequirements for solving real world problems
Note:Springer eBooks
ISBN:9781461452867
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Optimization, 2190-8354
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Computer software , Algorithms , Mathematical optimization
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Call number:SPRINGER-2012-9781461431190:ONLINE Show nearby items on shelf
Title:Rainbow Connections of Graphs [electronic resource]
Author(s): Xueliang Li
Yuefang Sun
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Rainbow connections are natural combinatorial measures that are used in applications to secure the transfer of classified information between agencies incommunication networks. Rainbow Connections of Graphs covers this new andemerging topicin graph t heory and brings together a majority of the results that deal with the concept of rainbow connections, first introduced by Chartrand et al. in 2006. The authors begin with an introduction to rainbowconnectedness, rainbow coloring,and rainbow connection nu mber. The work is organized into the followingcategories,computation of the exact valuesof the rainbow connection numbers for some special graphs, algorithms andcomplexity analysis, upper bounds in terms of other graph parameters,rainbow connection for de nse and sparse graphs, for some graph classes andgraph products, rainbow k-connectivity and k-rainbow index, and, rainbowvertex-connection number. Rainbow Connections of Graphs appeals to researchers and graduate students in the field of graph theory. Con jectures, open problems and questions are given throughout the text with the hope for motivatingyoung graph theorists and graduate students to do further study in this subject
Note:Springer eBooks
Contents:1. Introduction (Motivation and definitions, Terminology and notations)
2. (Strong) Rainbow connection number(Basic results, Upper bounds for rainbow connection number, For some graph classes, For dense and sparse graphs, For graph operations, An upper bound for strong rainbow connectionnumber)
3. Rainbow k
connectivity
4. k
rainbow index
5. Rainbow vertex
connection number
6. Algorithms and computational complexity
References
ISBN:9781461431190
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Mathematics, 2191-8198
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Number theory
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Call number:SPRINGER-2012-9780817682866:ONLINE Show nearby items on shelf
Title:A Beginner's Guide to Discrete Mathematics [electronic resource]
Author(s): W.D Wallis
Date:2012
Edition:Second Edition
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Wallis's book on discrete mathematics is a resource for an introductory course in a subject fundamental to both mathematics and computer science, a course that is expected not only to cover certain specific topics but also tointroduce students to imp ortant modes of thought specific to each discipline . . . Lower-division undergraduates through graduate students. Choice (Review of the First Edition) Very appropriately entitled as a 'beginner's guide',this textbook presents itself as the first exposure to discrete mathematics and rigorous proof for the mathematics or computer science student. Zentralblatt MATH (Review of the First Edition) This second edition of A BeginnersGuide to Discrete Mathematicspresents a detailedguide to discrete mathematicsand its relationship to other mathematical subjects includingset theory, probability, cryptography, graph theory, and number theory.Thistextbookhas a distinctly applied orientation and explores a variety of applications. Key features of the second edition: * Includesa new chapter on the theory of voting as well asnumerous new examples and exercises throughout thebook * Introduces functions, vectors, matrices, number systems, scientific notations, and the representation of numbers in computers * Provides exam ples, which then lead into easy practice problems throughout the text, and fullexercises at the end of each chapter *Full solutions for practice problems are provided at the end of the book This text is intended for undergraduates in mathematics and compu ter science, however, featured special topics andapplications may also interest graduate students
Note:Springer eBooks
Contents:Properties of Numbers
Sets and Data Structures
Boolean Algebras and Circuits
Relations and Functions
The Theory of Counting
Probability
Graph Theory
Matrices
Number Theory and Cryptography
The Theory of Voting
Solutions to Practic Exercises
Answers to Selected Exercises
Index
ISBN:9780817682866
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Combinatorics , Logic, Symbolic and mathematical , Mathematical statistics
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Call number:SPRINGER-2011-9783642195921:ONLINE Show nearby items on shelf
Title:Random Walks and Diffusions on Graphs and Databases [electronic resource] : An Introduction
Author(s): Philippe Blanchard
Dimitri Volchenkov
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Most networks and databases that humans have to deal with contain large, albeit finite number of units. Their structure, for maintaining functional consistency of the components, is essentially not random and calls for a precisequantitative descripti on of relations between nodes (or data units) and all network components. This book is an introduction, for both graduate students and newcomers to the field, to the theory of graphs and random walks on suchgraphs. The methods based on random walks and di ffusions for exploring the structure of finite connected graphs and databases are reviewed (Markov chain analysis). This provides the necessary basis for consistently discussing a numberof applications such diverse as electric resistance networks, estimat ion of land prices, urban planning, linguistic databases, music, and gene expression regulatory networks
Note:Springer eBooks
Contents:Introduction to Permutations, Markov Chains, and Partitions
Worth Another Binary Relation: Graphs
Permutations Sieved Through Adjacency: Garph Autormorphisms
Exploring Undirected Graphs by Random Walks
Embedding of Graphs in Probabilistic Euclidean Space
Random Walks and Electric Resistance Networks
Random Walks and Diffusions on Directed Graphs and Interacting Networks
Structural Analysis of Networks and Databases
When Feedbacks Matter: Epidemics, Synchronization, and Self
Regulation in Complex Networks
Critical Phenomena on Large Graphs With Regular Subgraphs
Gl
ISBN:9783642195921
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389 : v10
Series:Physics and Astronomy (Springer-11651)
Keywords: Data structures (Computer science) , Cell aggregation Mathematics , Engineering
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Call number:SPRINGER-2011-9783642179808:ONLINE Show nearby items on shelf
Title:A Tiny Handbook of R [electronic resource]
Author(s): Mike Allerhand
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This Briefprovides a roadmap for the R language and programming environment with signposts to further resources and documentation
Note:Springer eBooks
Contents:Introduction to R
Data Structures
Tables and Graphs
Hypothesis Tests
Linear Models
ISBN:9783642179808
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Computer software , Mathematical statistics
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Call number:SPRINGER-2011-9783642150142:ONLINE Show nearby items on shelf
Title:Topological Methods in Data Analysis and Visualization [electronic resource] : Theory, Algorithms, and Applications
Author(s): Valerio Pascucci
Xavier Tricoche
Hans Hagen
Julien Tierny
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-basedtechniques include th e management of time-dependent data, the representation large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorialalgorithms, etc. While there is an increasing number of high-quality publications in this field, many fundamental questions remain unsolved. New focused efforts are needed in a variety of techniques ranging from the theoreticalfoundations of topological models, algorithmic issues related to the representat ion power of computer-based implementations as well as their computational efficiency, user interfaces for presentation of quantitative topologicalinformation, and the development of new techniques for systematic mapping of science problems in topological constructs that can be solved computationally. The editors have brought together the most prominent and best recognizedresearchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field. The 2009 TopoInVis workshop in Snowbird, Utah, follows the two successfulworkshops in 2005 (Budmerice, Slovakia) and 2007 (Leipzig, Germany)
Note:Springer eBooks
Contents:Foundations of Computational Topology
Hierarchical Topological Data
Structures
Topological Feature Extraction Algorithms
Applications in Scientific Data Analysis and Visualization
Topological Analysis of Large
Scale Scientific Data
Indices
ISBN:9783642150142
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Visualization, 1612-3786
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer graphics , Visualization , Geometry , Topology , Engineering , Mechanical engineering
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Call number:SPRINGER-2011-9783642133121:ONLINE Show nearby items on shelf
Title:Classification and Multivariate Analysis for Complex Data Structures [electronic resource]
Author(s): Bernard Fichet
Domenico Piccolo
Rosanna Verde
Maurizio Vichi
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends,and to automatically b ag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first JointMeeting of the Socit Francophone de Classifi cation and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and theapplicative point of views, in the fields of Clustering, Classificatio n, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics
Note:Springer eBooks
Contents:Key Notes
Classification and Discrimination
Data Mining
Robustness and Classification
Categorical Data and Latent Class Approach
Latent Variables and Related Methods
Symbolic, Multivalued and Conceptual Data Analysis
Spatial, Temporal, Streaming and Functional Data Analysis
Bio and Health Science
ISBN:9783642133121
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data structures (Computer science) , Computer science , Multimedia systems , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2011-9783642010392:ONLINE Show nearby items on shelf
Title:Learning Spaces [electronic resource] : Interdisciplinary Applied Mathematics
Author(s): Jean-Claude Falmagne
Jean-Paul Doignon
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Learning spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessmentof mathematical know ledge. From a mathematical standpoint, learning spaces as well as knowledge spaces (which made the title of the first edition) generalize partially ordered sets. They are investigated both from a combinatorial and astochastic viewpoint. The results are ap plied to real and simulated data. The book gives a systematic presentation of research and extends the results to new situations. It is of interest to mathematically oriented readers ineducation, computer science and combinatorics at research and graduate levels. The text contains numerous examples and exercises, and an extensive bibliography
Note:Springer eBooks
Contents:Overview and Mathematical Glossary
Knowledge Structures and Learning Spaces
Knowledge Spaces
Well
Graded Families
Surmise Systems
Skill Maps, Labels and Filters
Entailments and the Maximal Mesh
Galois Connections
Descriptive and Assessment Languages
Greedoids, Learning Spaces, and Antimatroids
Learning Spaces and Media
Probabilistic Knowledge Structures
Stochastic Learning Paths
A Continuous Markov Procedure
A Markov Chain Procedure
Building a Knowledge Structure
Building a Learning Space
Applications
Open Problems
ISBN:9783642010392
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Multimedia systems , Artificial intelligence , Education
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Call number:SPRINGER-2011-9781461406853:ONLINE Show nearby items on shelf
Title:R for SAS and SPSS Users [electronic resource]
Author(s): Robert A Muenchen
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R is a powerful and free software system for data analysis and graphics, with over 4,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of theadd-on packages are m ost like SAS and SPSS and compares them to R's built-in functions. It steps through over 50 programs written in all three packages, comparing and contrasting the packages' differing approaches. The glossary definesR terms using SAS/SPSS terminology and ag ain using R terminology. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. The second edition adds 216 pages ofnew topics. I found the book extremely helpfulThe material is la id out in a way that makes it very accessible. Because of this I recommend this book to any R user regardless of his or her familiarity with SAS or SPSS...For new Rusers it will demystify many aspects, and for existing R users it will have many answers to those questions you have been too afraid to ask in public. --The American Statistician an excellent introduction to Rthe bookmeticulously covers data management, data structures, programming, graphics and basic statistical analysis in R. The prose is cle ar, the examples tied to their SPSS and SAS analogs. The handling of both traditional and newerggplot2 graphics is comprehensive: SPSS and SAS users will undoubtedly find lots to like. --Information Management As a long time SAS user this book makes the task of transition to R much more palatable and appealing. Italso greatly reduces the time to get up and running in R effectively. --Technometrics It is great to see this book in a second edition. It serves nicely as an introduction to R, irrespective of whether they are familiar with SASor SPSS. I have long been a fan of programming by example and the book is full of excellent ones. --Graham Williams, Author, Data M
Note:Springer eBooks
Contents:Introduction
Installing and Updating R
Running R
Help and Documentation
Programming Language Basics
Data Acquisition
Selecting Variables
Selecting Observations
Selecting Variables and Observations
Data Management
Enhancing Your Output
Generating Data
Managing Your Files and Workspace
Graphics Overview
Traditional Graphics
Graphics with ggplot2
Statistics
Conclusion
ISBN:9781461406853
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Computer graphics , Mathematical statistics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2011-9781441997821:ONLINE Show nearby items on shelf
Title:Targeted Learning [electronic resource] : Causal Inference for Observational and Experimental Data
Author(s): Mark J van der Laan
Sherri Rose
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever data sets are massive, often measuring hundreds of thousands of measurements for a single subject.The fieldis ready to move towards c lear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjectivechoices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at bothstatisticians and applied researchers interested in causal inference and ge neral effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihoodestimator, including related concepts necessary to understand and apply these methods. Parts II-IX h andle complex data structures and topics applied researchers will immediately recognize from their own research, includingtime-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, a nd genomic studies. Targeted Learning, by Mark J. van der Laan and Sherri Rose, fills a much neededgap in statistical and causal inference. It protects us from wasting computational, analytical, and data resources on irrelevant aspects of a problem and te aches us how to focus on what is relevant answering questions thatresearchers truly care about. -Judea Pearl, Computer Science Department, University of California, Los Angeles In summary, this book should be on the shelf of every investigator who conduc ts observational research and randomizedcontrolled trials. The concepts and methodology are foundational for causal inference and at the same time stay true to what the data at hand can say a
Note:Springer eBooks
Contents:Models, Inference, and Truth
The Open Problem
Defining the Model and Parameter
Super Learning
Introduction to TMLE
Understanding TMLE
Why TMLE?
Bounded Continuous Outcomes
Direct Effects and Effect Among the Treated
Marginal Structural Models
Positivity
Robust Analysis of RCTs Using Generalized Linear Models
Targeted ANCOVA Estimator in RCTs
Independent Case
Control Studies
Why Match? Matched Case
Control Studies
Nested Case
Control Risk Score Prediction
Super Learning for Right
Censored Data
RCTs with Time
to
Event Outcomes
RCTs with Time
ISBN:9781441997821
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2010-9783642040849:ONLINE Show nearby items on shelf
Title:Permutation Complexity in Dynamical Systems [electronic resource] : Ordinal Patterns, Permutation Entropy and All That
Author(s): Jos Amig
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:The study of permutation complexity can be envisioned as a new kind of symbolic dynamics whose basic blocks are ordinal patterns, that is, permutations defined by the order relations among points in the orbits of dynamicalsystems. Since its inception in 2002 the concept of permutation entropy has sparked a new branch of research in particular regarding the time series analysis of dynamical systems that capitalizes on the order structure of the statespace. Indeed, on one hand ordinal patterns and peri odic points are closely related, yet ordinal patterns are amenable to numerical methods, while periodicity is not. Another interesting feature is that since it can be shown thatrandom (unconstrained) dynamics has no forbidden patterns with probability one , their existence can be used as a fingerprint to identify any deterministic origin of orbit generation. This book is primarily addressed to researchersworking in the field of nonlinear dynamics and complex systems, yet will also be suitable for graduate students interested in these subjects. The presentation is a compromise between mathematical rigor and pedagogical approach.Accordingly, some of the more mathematical background needed for more in depth understanding has been shifted into the appendices
Note:Springer eBooks
Contents:What is This all About?
First Applications
Ordinal Patterns
Ordinal Structure of the Shifts
Ordinal Structure of the Signed Shifts
Metric Permutation Entropy
Topological Permutation Entropy
Discrete Entropy
Detection of Determinism
Space
Time Dynamics
Conclusion and Outlook
ISBN:9783642040849
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Data structures (Computer science) , Mathematics , Mathematical physics
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Call number:SPRINGER-2010-9781441955272:ONLINE Show nearby items on shelf
Title:Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4 [electronic resource]
Author(s): Stephen L Campbell
Jean-Philippe Chancelier
Ramine Nikoukhah
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:ScicosLab is a free open-source software package for scientific computation. It includes a Scilab interpreter and hundreds of general purpose and specialized functions for numerical computation, organized in libraries calledtoolboxes, which cover suc h areas as simulation, optimization, systems and control, and signal processing. One important ScicosLab toolbox is Scicos. Scicos provides a block diagram graphical editor for the construction and simulationof dynamical systems. The objective of this boo k is to provide a tutorial for the use of Scilab/Scicos with a special emphasis on modeling and simulation tools. The book is based on the new ScicosLab 4.4. While the book will provideuseful information to experienced users it is designed to be accessibl e to beginning users from a variety of disciplines. Students and academic and industrial scientists and engineers should find it useful. The book is divided into twoparts. The first part concerns Scilab and includes a tutorial covering the language featur es, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. It also coversin detail the numerical solvers for ordinary differential equations and differential-algebraic equations avail able in ScicosLab. Even though the emphasis is placed on modeling and simulation applications, this part provides a globalview of the Scilab language. The second part is dedicated to modeling and simulation of dynamical systems in Scicos. This type of mod eling tool is widely used in industry because it provides a means for constructing modular andreusable models. This part contains a detailed description of the editor and its usage, which is illustrated through numerous examples. All codes used in the boo k are made available to the reader. This book is an updated and expandedversion of an earlier edition based on Scilab 3.1. Stephen L. Campbell is a professor of mathematics and director of graduate prog
Note:Springer eBooks
Contents:Part I: General Information
Introduction to Scilab
Modeling and Simulation in Scilab
Optimization
Examples
Part II: Introduction
Getting started
Scicos formalism
Scicos Blocks
Examples and Applications
Batch processing in Scilab
Code generation
Debugging
Implicit Scicos and Modelica
A Inside Scicos
B Coding Examples
References
Index
ISBN:9781441955272
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Differentiable dynamical systems , Computer science Mathematics , Control engineering systems
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Call number:SPRINGER-2009-9783642001482:ONLINE Show nearby items on shelf
Title:The Rubato Composer Music Software [electronic resource] Component-Based Implementation of a Functorial Concept Architecture
Author(s): Grard Milmeister
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
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Note:Both modern mathematical music theory and computer science are strongly influenced by the theory of categories and functors. One outcome of this research is the data format of denotators, which is based on set-valued presheavesover the category of mo dules and diaffine homomorphisms. The functorial approach of denotators deals with generalized points in the form of arrows and allows the construction of a universal concept architecture. This architecture isideal for handling all aspects of music, espec ially for the analysis and composition of highly abstract musical works. This book presents an introduction to the theory of module categories and the theory of denotators, as well as thedesign of a software system, called Rubato Composer, which is an imp lementation of the category-theoretic concept framework. The application is written in portable Java and relies on plug-in components, so-called rubettes, which may becombined in data flow networks for the generation and manipulation of denotators. The Ru bato Composer system is open to arbitrary extension and is freely available under the GPL license. It allows the developer to build specializedrubettes for tasks that are of interest to composers, who in turn combine them to create music. It equally serve s music theorists, who use them to extract information from and manipulate musical structures. They may even develop newtheories by experimenting with the many parameters that are at their disposal thanks to the increased flexibility of the functorial con cept architecture. Two contributed chapters by Guerino Mazzola and Florian Thalmann illustrate theapplication of the theory as well as the software in the development of compositional tools and the creation of a musical work with the help of the Rubato fr amework
Note:Springer eBooks
Contents:Concepts and Theory
Overview of Music Theories
The Representation of Music
Architecture of Concepts I: Principles
The Category of Modules
Architecture of Concepts II: Forms and Denotators
Software Components for Computational Theories
Historical Overview
The Implementation
Overview
Architecture
Modules and Morphisms
Forms and Denotators
Tools and Utilities
Rubato Composer GUI
Rubato Composer in Practice
Overview
A Tutorial
First Applications in Rubette Construction
The BigBang Rubette
Creative Analysis of Boulezs
Conclusion and
ISBN:9783642001482
Series:e-books
Series:SpringerLink (Online service)
Series:Computational Music Science, 1868-0305
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Information systems , Computer science , Algebra , Music
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Call number:SPRINGER-2009-9783540768784:ONLINE Show nearby items on shelf
Title:Algebraic Function Fields and Codes [electronic resource]
Author(s): Henning Stichtenoth
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:The theory of algebraic function fields has its origins in number theory, complex analysis (compact Riemann surfaces), and algebraic geometry. Since about 1980, function fields have found surprising applications in other branchesof mathematics such a s coding theory, cryptography, sphere packings and others. The main objective of this book is to provide a purely algebraic, self-contained and in-depth exposition of the theory of function fields. This newedition, published in the series Graduate Texts i n Mathematics, has been considerably expanded. Moreover, the present edition contains numerous exercises. Some of them are fairly easy and help the reader to understand the basicmaterial. Other exercises are more advanced and cover additional material whi ch could not be included in the text. This volume is mainly addressed to graduate students in mathematics and theoretical computer science, cryptography,coding theory and electrical engineering
Note:Springer eBooks
Contents:1. Foundations of the Theory of Algebraic Function Fiels
2. Algebraic Geometry Codes
3. Extensions of Algebraic Function Fields
4. Differentials of Algebraic Function Fields
5. Algebraic Function Fields over Finite Constant Fields
6. Examples of Algebraic Function Fields
7. Asymptotic Bounds for the Number of Rational Places
8. More about Algebraic Geometry Codes
9. Subfield Subcodes and Trace Codes
Appendix A. Field Theory
Appendix B. Algebraic Curves and Algebraic Function Fields
Bibliography
List of Notations
Index
ISBN:9783540768784
Series:e-books
Series:SpringerLink (Online service)
Series:Graduate Texts in Mathematics, 0072-5285 : v254
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Algebra , Geometry, algebraic , Engineering mathematics
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Call number:SPRINGER-2009-9783540692003:ONLINE Show nearby items on shelf
Title:Elementary Number Theory, Cryptography and Codes [electronic resource]
Author(s): Maria Welleda Baldoni
Ciro Ciliberto
Giulia Maria Piacentini Cattaneo
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:In this volume one finds basic techniques from algebra and number theory (e.g. congruences, unique factorization domains, finite fields, quadratic residues, primality tests, continued fractions, etc.) which in recent years haveproven to be extremely useful for applications to cryptography and coding theory. Both cryptography and codes have crucial applications in our daily lives, and they are described here, while the complexity problems that arise inimplementing the related numerical algorithms are also taken into due account. Cryptography has been developed in great detail, both in its classical and more recent aspects. In particular public key cryptography is extensivelydiscussed, the use of algebraic geometry, specifically of elliptic curves over finite fields, is illustrated, and a final chapter is devoted to quantum cryptography, which is the new frontier of the field. Coding theory is notdiscussed in full however a chapter, sufficient for a good introduction to the subject, has been devoted to linear codes. Each chapter ends with several complements and with an extensive list of exercises, the solutions to most ofwhich are included in the last chapter. Though the book contains advanced material, such as cryptography on elliptic curves, Goppa c odes using algebraic curves over finite fields, and the recent AKS polynomial primality test, theauthors' objective has been to keep the exposition as self-contained and elementary as possible. Therefore the book will be useful to students and researchers , both in theoretical (e.g. mathematicians) and in applied sciences (e.g.physicists, engineers, computer scientists, etc.) seeking a friendly introduction to the important subjects treated here. The book will also be useful for teachers who intend to give courses on these topics
Note:Springer eBooks
Contents:A round
up on numbers
Computational complexity
From infinite to finite
Finite is not enough: factoring integers
Finite fields and polynomial congruences
Primality and factorisation tests
Secrets and lies
Transmitting withoutfear of errors
The future is already here: quantum cryptography
ISBN:9783540692003
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Algebra , Combinatorics , Geometry , Number theory
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Call number:SPRINGER-2009-9783211753576:ONLINE Show nearby items on shelf
Title:Random Trees [electronic resource] : An Interplay between Combinatorics and Probability
Author(s): Michael Drmota
Date:2009
Publisher:Vienna : Springer Vienna
Size:1 online resource
Note:Springer e-book platform
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Note:Trees are a fundamental object in graph theory and combinatorics as well as a basic object for data structures and algorithms in computer science. During the last years research related to (random) trees has been constantlyincreasing and several asym ptotic and probabilistic techniques have been developed in order to describe characteristics of interest of large trees in different settings. The aim of this book is to provide a thorough introduction intovarious aspects of trees in random settings and a systematic treatment of the involved mathematical techniques. It should serve as a reference book as well as a basis for future research. One major conceptual aspect is to bridgecombinatorial and probabilistic methods that range from counting techniques (generating functions, bijections) over asymptotic methods (saddle point techniques, singularity analysis) to various sophisticated techniques in asymptoticprobability (martingales, convergence of stochastic processes, concentration inequalities)
Note:Springer eBooks
ISBN:9783211753576
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Algebra , Algorithms , Combinatorics , Number theory , Distribution (Probability theory)
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Call number:SPRINGER-2009-9780387709840:ONLINE Show nearby items on shelf
Title:Mathematical Biology [electronic resource] : An Introduction with Maple and Matlab
Author(s): Ronald W Shonkwiler
James Herod
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. It updates an earlier successful edition and greatly expands the concept of the computerbiology laboratory, giving students a general perspective of the field before proceeding to more specialized topics. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field ofgenomics. It includes new chapters on parasites, ca ncer, and phylogenetics, along with an introduction to online resources for DNA, protein lookups, and popular pattern matching tools such as BLAST. In addition, the emerging field ofalgebraic statistics is introduced and its power illustrated in the conte xt of phylogenetics. A unique feature of the book is the integration of a computer algebra system into the flow of ideas in a supporting but unobtrusive role.Syntax for both the Maple and Matlab systems is provided in a tandem format. The use of a compute r algebra system gives the students the opportunity to examine what if scenarios, allowing them to investigate biological systems in away never before possible. For students without access to Maple or Matlab, each topic presented is complete. Graphic visu alizations are provided for all mathematical results. Mathematical Biology includes extensive exercises, problemsand examples. A year of calculus with linear algebra is required to understand the material presented. The biology presented proceeds from the study of populations down to the molecular level no previous coursework in biology isnecessary. The book is appropriate for undergraduate and graduate students studying mathematics or biology and for scientists and researchers who wish to study the appli cations of mathematics and computers in the natural sciences
Note:Springer eBooks
Contents:Biology, Mathematics and a Mathematical Biology Laboratory
Some Mathematical Tools
Reproduction of the Drive for Survival
Interactions Between Organisms and Their Environment
Age
Dependent Population Structures
Random Movements in Space and Time
The Biological Disposition of Drugs and Inorganic Toxins
Neurophysiology
The Biochemistry of Cells
The Biological Disposition of Drugs and Inorganic Toxins
A Biomathematical Approach to HIV and AIDS
Parasites and Their Diseases
Genetics
Genomics
Phylogenetics
ISBN:9780387709840
Series:e-books
Series:SpringerLink (Online service)
Series:Undergraduate Texts in Mathematics, 0172-6056
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Biology Data processing , Biology Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2009-9780387094182:ONLINE Show nearby items on shelf
Title:R for SAS and SPSS Users [electronic resource]
Author(s): Robert A Muenchen
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of theadd-on packages are m ost like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs andpractice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SASstatements and SPSS commands. When finished, you will be able to impor t data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. Robert A. Muenchen is the manager of the StatisticalConsulting Center at the University of Tennessee and has 28 years of experience as a consulti ng statistician. He has served on the advisory boards of SPSS Inc. and the Statistical Graphics Corporation. This is a really great book. Itis easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about RAn invaluable reference. - David Hitchcock, University of South CarolinaThanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb! - Tony N. Brown, Va nderbilt University This is a Rosetta Stone for SPSS and SAS users to start learning Rquickly and effectively. - Ralph O'Brien, ASA Fellow I am a professional SAS and SPSS programmer and found this book extremely useful. - Tony Chu, Public Policy Research Data Analyst
Note:Springer eBooks
Contents:Introduction. The five main parts of SAS and SPSS
Programming conventions
Typographic conventions
Installing & updating R
Running R
Help and documentation
Programming language basics
Data Acquisition
Selecting Variables
Var, Variables
Selecting observations
where, if select if, filter
Selecting both variables and observations
Converting data structures
Data management
Recoding variables. Value labels or formats (& measurement level)
Variable labels
Generating data
How R stores data
Managing your files and workspace
Graphics overview
ISBN:9780387094182
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Data mining , Computer graphics , Mathematical statistics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2008-9783540740780:ONLINE Show nearby items on shelf
Title:Random Curves [electronic resource] : Journeys of a Mathematician
Author(s): Neal Koblitz
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
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Note:These autobiographical memoirs of Neal Koblitz, coinventor of one of the two most popular forms of encryption and digital signature, cover many topics besides his own personal career in mathematics and cryptography - travels tothe Soviet Union, Latin America, Vietnam and elsewhere, political activism, and academic controversies relating to math education, the C. P. Snow two-culture problem, and mistreatment of women in academia. The stories speak forthemselves and reflect the experiences of a student and later a scientist caught up in the tumultuous events of his generation
Note:Springer eBooks
Contents:Early Years
Harvard
SDS
The Army
Spring of 1972
Academics
The Soviet Union
Racism and Apartheid
Vietnam. Part I
Vietnam. Part II
Nicaragua and Cuba
El Salvador
Two Cultures
Cryptography
Education
Arizona
Index
ISBN:9783540740780
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Data encryption (Computer science) , Mathematics_$xHistory , Number theory
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Call number:SPRINGER-2008-9781848002739:ONLINE Show nearby items on shelf
Title:Codes: An Introduction to Information Communication and Cryptography [electronic resource]
Author(s): N.L Biggs
Date:2008
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Information is an important feature of the modern world. Mathematical techniques underlie the devices that we use to handle it, for example, mobile phones, digital cameras, and personal computers. This book is an integratedintroduction to the mathema tics of coding, that is, replacing information expressed in symbols, such as a natural language or a sequence of bits, by another message using (possibly) different symbols. There are three main reasons fordoing this: economy, reliability, and security, a nd each is covered in detail. Only a modest mathematical background is assumed, the mathematical theory being introduced at a level that enables the basic problems to be statedcarefully, but without unnecessary abstraction. Other features include: clear a nd careful exposition of fundamental concepts, including optimal coding, data compression, and public-key cryptography concise but complete proofs ofresults coverage of recent advances of practical interest, for example in encryption standards, authentica tion schemes, and elliptic curve cryptography numerous examples and exercises, and a full solutions manual available tolecturers from www.springer.com This modern introduction to all aspects of coding is suitable for advanced undergraduate or postgraduate courses in mathematics, computer science, electrical engineering, or informatics. It is alsouseful for researchers and practitioners in related areas of science, engineering and economics
Note:Springer eBooks
Contents:Coding and its uses
Prefix
free codes
Economical coding
Data compression
Noisy channels
The problem of reliable communication
The noisy coding theorems
Linear codes
Algebraic coding theory
Coding natural languages
The development of cryptography
Cryptography in theory and practice
The RSA cryptosystem
Cryptography and calculation
Elliptic curve cryptography
Answers to odd
numbered exercises
Index
ISBN:9781848002739
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Mathematics Series, 1615-2085
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Coding theory , Combinatorics , Number theory , Telecommunication
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Call number:SPRINGER-2008-9780387779942:ONLINE Show nearby items on shelf
Title:An Introduction to Mathematical Cryptography [electronic resource]
Author(s): J.H Silverman
Jill Pipher
Jeffrey Hoffstein
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:This self-contained introduction to modern cryptography emphasizes the mathematics behind the theory of public key cryptosystems and digital signature schemes. The book focuses on these key topics while developing themathematical tools needed for the construction and security analysis of diverse cryptosystems. Only basic linear algebra is required of the reader techniques from algebra, number theory, and probability are introduced and developed asrequired. The book covers a variety of topics that are considered central to mathematical cryptography. Key topics include: * classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-basedcryptosystems, the RSA cryptosystem, and digital signatures * fundamental mathemat ical tools for cryptography, including primality testing, factorization algorithms, probability theory, information theory, and collision algorithms *an in-depth treatment of important recent cryptographic innovations, such as elliptic curves, elliptic cu rve and pairing-based cryptography, lattices, lattice-based cryptography, and the NTRU cryptosystem. This book is an idealintroduction for mathematics and computer science students to the mathematical foundations of modern cryptography. The book includes an extensive bibliography and index supplementary materials are available online
Note:Springer eBooks
Contents:An Introduction to Cryptography
Discrete Logarithms and Diffie
Hellman
Integer Factorization and RSA
Probability Theory and Information Theory
Elliptic Curves and Cryptography
Lattices and Cryptography
Digital Signatures
Additional Topics in Cryptology
ISBN:9780387779942
Series:e-books
Series:SpringerLink (Online service)
Series:Undergraduate Texts in Mathematics, 0172-6056
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Data encryption (Computer science) , Algebra , Number theory
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Call number:SPRINGER-2008-9780387754505:ONLINE Show nearby items on shelf
Title:Graphs, Dioids and Semirings [electronic resource] : New Models and Algorithms
Author(s): Michel Gondran
Michel Minoux
Date:2008
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
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Note:The origins of Graph Theory date back to Euler (1736) with the solution of the celebrated 'Koenigsberg Bridges Problem' and to Hamilton with the famous 'Trip around the World' game (1859), stating for the first time a problemwhich, in its most recent version the 'Traveling Salesman Problem' -, is still the subject of active research. Yet, it has been during the last fifty years or sowith the rise of the electronic computersthat Graph theory hasbecome an indispensable discipline in terms of the numbe r and importance of its applications across the Applied Sciences. Graph theory has been especially central to Theoretical and Algorithmic Computer Science, and Automatic Control,Systems Optimization, Economy and Operations Research, Data Analysis in the E ngineering Sciences. Close connections between graphs and algebraic structures have been widely used in the analysis and implementation of efficientalgorithms for many problems, for example: transportation network optimization, telecommunication network o ptimization and planning, optimization in scheduling and production systems, etc. The primary objectives of GRAPHS, DIODS ANDSEMIRINGS: New Models and Algorithms are to emphasize the deep relations existing between the semiring and diod structures with gr aphs and their combinatorial properties, while demonstrating the modeling and problem-solvingcapability and flexibility of these structures. In addition the book provides an extensive overview of the mathematical properties employed by nonclassical algebr aic structures, which either extend usual algebra (i.e., semirings),or correspond to a new branch of algebra (i.e., diods), apart from the classical structures of groups, rings, and fields
Note:Springer eBooks
Contents:Pre
Semirings, Semirings and Dioids
Combinatorial Properties of (Pre)
Semirings
Topology on Ordered Sets: Topological Dioids
Solving Linear Systems in Dioids
Linear Dependence and Independence in Semi
Modules and Moduloids
Eigenvalues and Eigenvectors of Endomorphisms
Dioids and Nonlinear Analysis
Collected Examples of Monoids, (Pre)
Semirings and Dioids
ISBN:9780387754505
Series:e-books
Series:SpringerLink (Online service)
Series:Operations Research/Computer Science Interfaces, 1387-666X : v41
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer network architectures , Computational complexity , Combinatorics , Operations research
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Call number:SPRINGER-2007-9780817645410:ONLINE Show nearby items on shelf
Title:Number Theory [electronic resource] : An Introduction via the Distribution of Primes
Author(s): Benjamin Fine
Gerhard Rosenberger
Date:2007
Publisher:Boston, MA : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides an introduction and overview of number theory based on the distribution and properties of primes. This unique approach provides both a firm background in the standard material as well as an overview of thewhole discipline. All the essential topics are covered: fundamental theorem of arithmetic, theory of congruences, quadratic reciprocity, arithmetic functions, and the distribution of primes. Key Topics and Features: * Solidintroduction to analytic number theory, including full pro ofs of Dirichlets Theorem and the Prime Number Theorem * Solid treatment of algebraic number theory, including a complete presentation of primes, prime factorizations inalgebraic number fields, and unique factorization of ideals * First treatment in book form of the AKS algorithm that shows that primality testing is of polynomial time * Many interesting side topics, such as primality testing andcryptography, Fermat and Mersenne numbers, and Carmichael numbers The books user-friendly style, historical cont ext, and wide range of exercises from simple to quite difficult (with solutions and hints provided for select ones) makeit ideal for self study as well as classroom use. Intended for upper level undergraduates and beginning graduate students, the only pre requisites are a basic knowledge of calculus, multivariable calculus, and some linear algebra. Allnecessary concepts from abstract algebra and complex analysis are introduced in the book
Note:Springer eBooks
Contents:Preface
Introduction and Historical Remarks
Basic Number Theory
The Infinitude of Primes
The Density of Primes
Primality Testing: An Overview
Primes and Algebraic Number Theory
Exercises
Bibliography and Cited References
Index
ISBN:9780817645410
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data structures (Computer science) , Matrix theory , Global analysis (Mathematics) , Logic, Symbolic and mathematical , Number theory
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Call number:SPRINGER-2007-9780387485386:ONLINE Show nearby items on shelf
Title:Reliability, Life Testing and the Prediction of Service Lives [electronic resource] : For Engineers and Scientists
Author(s): Sam C Saunders
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is intended for students and practitioners who have had a calculus-based statistics course and who have an interest in safety considerations such as reliability, strength, and duration-of-load or service life. Manypersons studying statistic al science will be employed professionally where the problems encountered are obscure, what should be analyzed is not clear, the appropriate assumptions are equivocal, and data are scant. Yet tutorial problemsof this nature are virtually never encountered in coursework. In this book there is no disclosure with many of the data sets what type of investigation should be made or what assumptions are to be used. Most reliability practitionerswill be employed where personal interaction between disciplines is a necessity. A section is included on communication skills to facilitate model selection and formulation based on verifiable assumptions, rather than favorableconclusions. However, whether the answer is right can never be ascertained. Past and current appl ications of stochastic modeling to life-length can only be a guide for future adaptations under different conditions, with newmaterials in unknown usages. This book unifies the study of cumulative-damage distributions, namely, Wald and Tweedie (i.e., inve rse-Gaussian and its reciprocal) with fatigue-life. These distributions are most useful when thecoefficient-of-variation is more appropriate than is the variance as a measure of dispersion. It is shown, uniquely, that the same hyperbolic-sine transformati on of each life length variate has a Chi-square one-df distribution. Thisproperty is useful in the sample statistics. These IHRA distributions realistically model life-length, strength or duration of load under linear cumulative damage and can be combined as approximations in non-linear situations. Sam C.Saunders has served as a research engineer for 17 years at the Boeing Scientific Research Laboratories, 20 years as a consultant to the Advisory Co
Note:Springer eBooks
Contents:Requistites
Elements of Reliability
Partitions And Selection
Coherent Systems
Applicable Life Distributions
Philosophy, Science and Sense
Non
Parametric Life Estimators
Weibull Analysis
Data: Diagnose and Consult
Cumulative Damage Distributions
Analysis of Dispersion
Damage Processes
Service Life of Structures
Strength and Durability
Maintenance of Systems
Mathematical Appendix
ISBN:9780387485386
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Computer science , Operating systems (Computers) , Distribution (Probability theory) , Statistics , System safety
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Call number:SPRINGER-2006-9783540359784:ONLINE Show nearby items on shelf
Title:Data Analysis, Classification and the Forward Search [electronic resource] : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June68, 2005 / edited by Sergio Z ani, Andrea Cerioli, Marco Riani, Maurizio Vichi
Author(s): Sergio Zani
Andrea Cerioli
Marco Riani
Maurizio Vichi
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The more methodologically oriented reader will find contributions to the theory ofclustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers also provide significant contributions in a wide range offields of application. Customer satisfaction and service evaluation are two examples of such emerging fields
Note:Springer eBooks
Contents:Clustering and Discrimination
Multidimensional Data Analysis and Multivariate Statistics
Robust Methods and the Forward Search
Data Mining Methods and Software
Multivariate Methods for Customer Satisfaction and Service Evaluation
Multivariate Methods in Applied Science
ISBN:9783540359784
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data structures (Computer science) , Computer science , Mathematical statistics , Management information systems
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Call number:SPRINGER-2006-9783540344162:ONLINE Show nearby items on shelf
Title:Data Science and Classification [electronic resource]
Author(s): Vladimir Batagelj
Hans-Hermann Bock
Anuka Ferligoj
Ale iberna
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered that includes the measurement of similarity and dissimilarity, methods for classification and clustering,network and graph ana lyses, analysis of symbolic data, and web mining. Apart from structural and theoretical results the book shows how to apply the proposed to a variety of problems, for example in medicine, microarray analysis,social network structures, and music. The combi nation of new methodological advances with the wide range of real applications collected in this volume is of special value for researchers when choosing the appropriate among newlydeveloped analytical tools for their research problems in classification a nd data analysis
Note:Springer eBooks
Contents:Similarity and Dissimilarity
Classification and Clustering
Network and Graph Analysis
Analysis of Symbolic Data
General Data Analysis Methods
Data and Web Mining
Analysis of Music Data
Gene and Microarray Analysis
ISBN:9783540344162
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data structures (Computer science) , Information systems , Optical pattern recognition , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2006-9783540333838:ONLINE Show nearby items on shelf
Title:Adaptive Atmospheric Modeling [electronic resource] : Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications
Author(s): Jrn Behrens
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book gives an overview and guidance in the development of adaptive techniques for atmospheric modeling. Written in an educational style and featuring an exhaustive list of references, it is a starting point for everyone whois interested in adapt ive modeling, not restricted to atmospheric sciences. It covers paradigms of adaptive techniques, such as error estimation and adaptation criteria. Mesh generation methods are presented for triangular/tetrahedraland quadrilateral/hexahedral meshes, with a special section on initial meshes for the sphere. Efficiency issues are discussed including techniques for accelerating unstructured mesh computations as well as parallelization. Consideringapplications, the book demonstrates several techniques for discr etizing relevant conservation laws from atmospheric modeling. Finite volume, discontinuous Galerkin and conservative Semi-Lagrangian methods are introduced and applied insimplified real life simulations. It is the author's intention to motivate the reader to become involved with adaptive modeling techniques
Note:Springer eBooks
ISBN:9783540333838
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v54
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Physical geography , Meteorology , Computer science
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Call number:SPRINGER-2006-9783540332619:ONLINE Show nearby items on shelf
Title:Triangulations and Applications [electronic resource]
Author(s): yvind Hjelle
Morten Dhlen
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is entirely about triangulations. With emphasis on computational issues, the basic theory necessary to construct and manipulate triangulations is presented. In particular, a tour through the theory behind the Delaunaytriangulation, includin g algorithms and software issues, is given. Various data structures used for the representation of triangulations are discussed. Throughout the book, the theory is related to selected applications, in particularsurface construction, meshing and visualizat ion
Note:Springer eBooks
Contents:1 Triangles and Triangulations
2 Graphs and Data Structures
3 Delaunay Triangulations and Voronoi Diagrams
4 Algorithms for Delaunay Triangulation
5 Data Dependent Triangulations
6 Constrained Delaunay Triangulation
7 Delaunay Refinement Mesh Generation
8 Least Squares Approximation of Scattered Data
9 Programming Triangulations: The Triangulation Template Library (TTL)
References
Index
ISBN:9783540332619
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Visualization, 1612-3786
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Computer science Mathematics , Algorithms , Visualization , Engineering mathematics
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Call number:SPRINGER-2006-9783540332596:ONLINE Show nearby items on shelf
Title:Effective Computational Geometry for Curves and Surfaces [electronic resource]
Author(s): Jean-Daniel Boissonnat
Monique Teillaud
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The intent of this book is to settle the foundations of non-linear computational geometry. It covers combinatorial data structures and algorithms, algebraic issues in geometric computing, approximation of curves and surfaces, andcomputational topolog y. Each chapter provides a state of the art, as well as a tutorial introduction to important concepts and results. The focus is on methods which are both well founded mathematically and efficient in practice.References to open source software and discussi on of potential applications of the presented techniques are also included. This book can serve as a textbook on non-linear computational geometry. It will also be useful to engineers andresearchers working in computational geometry or other fields, like structural biology, 3-dimensional medical imaging, CAD/CAM, robotics, and graphics
Note:Springer eBooks
Contents:1 Arrangements
Efi Fogel, Dan Halperin, Lutz Kettner, Monique Teillaud, Ron Wein, Nicola Wolpert
2 Curved Voronoi Diagrams
Jean
Daniel Boissonnat, Camille Wormser, Mariette Yvinec
3 Algebraic Issues in Computational Geometry
Bernard Mourrain, Sylvain Pion, Susanne Schmitt, Jean
Pierre Tcourt, Elias Tsigaridas, Nicola Wolpert
4 Differential Geometry on Discrete Surfaces
David Cohen
Steiner, Jean
Marie Morvan
5 Meshing of Surfaces
Jean
Daniel Boissonnat, David Cohen
Steiner, Bernard Mourrain, Gnter Rote, Gert Vegter
6 Delaunay Triangulation Based Surface Reconstructi
ISBN:9783540332596
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision , Computer science Mathematics , Visualization , Numerical analysis , Engineering mathematics , Engineering design
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Call number:SPRINGER-2006-9783540330233:ONLINE Show nearby items on shelf
Title:Information and Self-Organization [electronic resource] : A Macroscopic Approach to Complex Systems
Author(s): Hermann Haken
Date:2006
Edition:Third Enlarged Edition
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. The various meanings of the concept information are discussed and a generalformulation of the maximum inform ation (entropy) principle is used. With the aid of results from synergetics, adequate objective constraints for a large class of self-organizing systems are formulated and examples are given fromphysics, life and computer science. The relationship to chao s theory is examined and it is further shown that, based on possibly scarce and noisy data, unbiased guesses about processes of complex systems can be made and the underlyingdeterministic and random forces determined. This allows for probabilistic predict ions of processes, with applications to numerous fields in science, technology, medicine and economics. The extensions of the third edition areessentially devoted to an introduction to the meaning of information in the quantum context. Indeed, quantum inf ormation science and technology is presently one of the most active fields of research at the interface of physics,technology and information sciences and has already established itself as one of the major future technologies for processing and communicat ing information on any scale. This book addresses graduate students and nonspecialistresearchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or fo r self-study
Note:Springer eBooks
Contents:The Challenge of Complex Systems
From the Microscopic to the Macroscopic World ..
... and back again: The Maximum Information Principle (MIP)
An Example from Physics: Thermodynamics
Application of the Maximum Information Principle to Self
Organizing Systems
The Maximum Information Principle for Nonequilibrium Phase Transitions: Determination of Order Parameters, Enslaved Modes, and Emerging Patterns
Information, Information Gain, and Efficiency of Self
Organizing Systems close to Their Instability Points
Direct Determination of Lagrange Multipliers
Unbiased Modeling o
ISBN:9783540330233
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Data structures (Computer science) , Quantum computing , Biomedical engineering , Engineering
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Call number:SPRINGER-2006-9780387319094:ONLINE Show nearby items on shelf
Title:Evolutionary Computation for Modeling and Optimization [electronic resource]
Author(s): Daniel Ashlock
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text isa survey of some app lication of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It alsoincludes a methodological material on eff icient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simpleevolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biologicalmodeling, including evolutionary game theory. Advanced techniques such as cellular encoding , grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems,projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing diff erent methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionarycomputation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students wi ll find this book a useful guide to using evolutionary algorithms as a problem solvingtool
Note:Springer eBooks
Contents:An Overview of Evolutionary Computation
Designing Simple Evolutionary Algorithms
Optimizing Real
Valued Functions
Sunburn: Coevolving Strings
Small Neural Nets : Symbots
Evolving Finite State Automata
Ordered Structures
Plus
One
Recall
Store
Fitting to Data
Tartarus: Discrete Robotics
Evolving Logic Functions
ISAc List: Alternative Genetic Programming
Graph
Based Evolutionary Algorithms
Cellular Encoding
Application to Bioinformatics
ISBN:9780387319094
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Bioinformatics , Algorithms
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Call number:SPRINGER-2006-9780387304861:ONLINE Show nearby items on shelf
Title:Modeling and Simulation in Scilab/Scicos [electronic resource]
Author(s): Stephen L Campbell
Jean-Philippe Chancelier
Ramine Nikoukhah
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Scilab is a free open-source software package for scientific computation. It includes hundreds of general purpose and specialized functions for numerical computation, organized in libraries called toolboxes, which cover such areasas simulation, optim ization, systems and control, and signal processing. One important Scilab toolbox is Scicos. Scicos provides a block diagram graphical editor for the construction and simulation of dynamical systems. The objectiveof this book is to provide a tutorial for the use of Scilab/Scicos with a special emphasis on modeling and simulation tools. While it will provide useful information to experienced users it is designed to be accessible to beginningusers from a variety of disciplines. Students and academic and ind ustrial scientists and engineers should find it useful. The book is divided into two parts. The first part concerns Scilab and includes a tutorial covering the languagefeatures, the data structures and specialized functions for doing graphics, importing, exporting data and interfacing external routines. It also covers in detail Scilab numerical solvers for ordinary differential equations anddifferential-algebraic equations. Even though the emphasis is placed on modeling and simulation applications, this p art provides a global view of Scilab. The second part is dedicated to modeling and simulation of dynamical systems inScicos. This type of modeling tool is widely used in industry because it provides a means for constructing modular and reusable models. Th is part contains a detailed description of the editor and its usage, which is illustrated throughnumerous examples. All codes used in the book is made available to the reader. This new edition includes expanded chapters, new exercises and major rewrites f or examples to work with the new Maple
Note:Springer eBooks
Contents:Part I: General Information
Introduction to Scilab
Modeling and Simulation in Scilab
Optimization
Examples
Part II: Introduction
Getting started
Scicos formalism
Scicos Blocks
Examples and Applications
Batch processing in Scilab
Code generation
Debugging
Implicit Scicos and Modelica
A Inside Scicos
B Coding Examples
References
Index
ISBN:9780387304861
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer simulation , Differentiable dynamical systems , Computer science Mathematics
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