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SPIRES-BOOKS: FIND KEYWORD DATA STRUCTURES *END*INIT* use /tmp/qspiwww.webspi1/7093.90 QRY 131.225.70.96 . find keyword data structures ( in books using www Cover
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Call number:9789811033070:ONLINE Show nearby items on shelf
Title:Monte-Carlo Simulation-Based Statistical Modeling
Author(s):
Date:2017
Size:1 online resource (XX, 430 p. 64 illus., 33 illus. in color p.)
Contents:Part 1: Monte-Carlo Techniques -- 1. Overview of Monte-Carlo Techniques -- 2. On Improving the Efficiency of the Monte-Carlo Methods Using Ranked Simulated Approach -- 3. Joint generation of Different Types of Data with Specified
Marginal and Association Structures for Simulation Purposes -- 4. Quantifying the Uncertainty in Optimal Experimental Schemes via Monte-Carlo Simulations -- 5. Normal and Non-normal Data Simulations for the Evaluation of Two-sample
Location Tests -- 6. Understanding dichotomization from Monte-Carlo Simulations -- Part 2: Monte-Carlo Methods in Missing Data -- 7. Hybrid Monte-Carlo in Multiple Missing Data Imputations with Application to a Bone Fracture Data -- 8.
Methods for Handling Incomplete Longitudinal Data due to Missing at Random Dropout -- 9. Applications of Simulation for Missing Data Issues in Longitudinal Clinical Trials -- 10. Application of Markov Chain Monte Carlo Multiple
Imputation Method to Deal with Missing Data From the Mechanism of MNAR in Sensitivity Analysis for a Longitudinal Clinical Trial -- 11. Fully Bayesian Methods for Missing Data under Ignitability Assumption -- Part 3: Monte-Carlo in
Statistical Modellings -- 12. Markov-Chain Monte-Carlo Methods in Statistical modelling -- 13. Monte-Carlo Simulation in Modeling for Hierarchical Linear Mixed Models -- 14. Monte-Carlo Simulation of Correlated Binary Responses -- 15.
Monte Carlo Methods in Financial Modeling -- 16. Bayesian Intensive Computations in Elliptical Models.
ISBN:9789811033070
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Statistics , Biostatistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Biostatistics
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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:9781449307264:ONLINE Show nearby items on shelf
Title:R cookbook [electronic resource]
Author(s): Paul Teetor
Date:2011
Edition:1st ed.
Publisher:Sebastopol, CA : O'Reilly
Size:413 p
Note:eBook
Note:EPL platform
Contents:Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General S tatistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis.
ISBN:9781449307264
Keywords: R (Computer program language) , Mathematical statistics
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Call number:TK6553.M65::1958 Show nearby items on shelf
Title:Microwave transmission design data
Author(s): Theodore Moreno
Date:1958
Publisher:Dover
Size:248 p
Contents:General considerations for microwave transmission lines -- Attenuation, impedance matching, and reflections on transmission lines -- Impedance relations on transmission lines -- General formulas for coaxial lines -- Flexible cables -- Coaxial line s tructures and transformers -- General formulas for wave guides -- Attenuatin in wave guides -- Obstacles, discontinuities, and junctions -- Miscellaneous wave-guide structures -- Wave guides filled with dielectric material -- Dielectric materials -- Cavit y resonators
Keywords: Shortwave radio
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Location: MAIN

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Call number:TA647.C75::1991:V2 Show nearby items on shelf
Title:Non-linear finite element analysis of solids and structures v.2 Advanced topics
Author(s): M. A. Crisfield
Date:1997
Publisher:Wiley
Contents:More Continuum Mechanics
Non-Orthogonal Coordinates and Co- and Contravariant Tensor Components
More Finite Element Analysis of Continua
Large Strains, Hyperelasticity and Rubber
More Plasticity and Other Material Non-Linearity I. More Plasticity and Other Material Non-Linearity II
Large Rotations
Three-Dimensional Formulations for Beams and Rods
More on Continuum and Shell Elements
Large Strains and Plasticity
Stability Theory
Branch Switching and Further Advanced Solution Procedures
Examples from an Updated Non-Linear Finite Element Computer Program Using Truss Elements
Contact with Friction
Non-Linear Dynamics
ISBN:047195649x
Keywords: Structural analysis (Engineering) Data processing , Finite element method Data processing , Structures Analysis
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Call number:TA647.C75::1991:V1 Show nearby items on shelf
Title:Non-linear finite element analysis of solids and structures v.1 Essentials
Author(s): M. A. Crisfield
Date:1991
Publisher:Wiley
ISBN:047197059X
Keywords: Structural analysis (Engineering) Data processing , Finite element method Data processing , Structures Analysis
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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-2016-9783319320137:ONLINE Show nearby items on shelf
Title:Trends in Differential Equations and Applications
Author(s):
Date:2016
Size:1 online resource (67 p.)
Note:10.1007/978-3-319-32013-7
Contents:1 M. J. Castro, J. M. Gallardo, A. Marquina: Approximate Osher-Solomon schemes for hyperbolic systems -- 2 G. Maicas, A.I. Muñoz, G. Galiano, A. Ben Hamza and E. Schiavi: Spectral shape analysis of the hippocampal structure for Alzheimer’s Diseas e diagnosis -- 3 P. Alonso, J.M. Peña, M.L. Serrano: Characterizations of M-banded ASSR matrices -- 4 E. Casas, K. Chrysafinos: A review of numerical analysis for the discretization of the velocity tracking problem -- 5 G. Castiñeira and J.M. Rodríguez : Asymptotic analysis of a viscous flow in a curved pipe with elastic walls -- 6 J. Mura and A. Caiazzo: A two-scale homogenization approach for the estimation of porosity in elastic media -- 7 J. M. Carnicer, Y. Khiar and J. M. Pena: A matrix approach to the Newton formula and divided differences -- 8 B. Climent-Ezquerra and F. Guillen-Gonzalez: Long-time behavior of a Cahn-Hilliard-Navier-Stokes vesicle-fluid interaction model -- 9 G. Viglialoro: Explicit blow-up time for two porous medium
problems with different reaction terms -- 10 A. Domínguez-Delgado, C. Domínguez-Torres and J. Iñesta-Vaquera: Numerical Assessment of the Energy Efficiency of an Open Joint Ventilated Facade for Typical Meteorological Months Data in Southern Spai n -- 11 E. Barrena, G. Laporte, F. A. Ortega, M. A. Pozo: Planning ecotourism routes in nature parks -- 12 M. Isabel García-Planas and M. Dolors Magret: Isometries of the Hamming space and equivalence relations of linear codes over a finite field -- 13 D aniela Giachetti, Pedro J. Martínez-Aparicio and François Murat: Advances in the study of singular semilinear elliptic problems -- 14 A. Baeza, P. Mulet, and D. Zorio: Weighted extrapolation techniques for finite difference methods on complex domains wi th Cartesian meshes -- 15 V. Domínguez and C. Turc: High order Nystrom methods for transmission problems for Helmholtz Equation -- 16 A. Algaba, N. Fuentes, C. García and M. Reyes: Algebraic inverse integrating factors for a class of generalized
nilpotent systems -- 17 R. Burger, F. Guerrero,M.C. Martı and P. Mulet: WENO schemes for multi-dimensional porous media flow without capillarity -- 18 L. Fan, P. Monk, and V. Selgas: Time dependent scattering in an acoustic waveguide via convolutio n quadrature and the Dirichlet-to-Neumann map -- 19 M. Albareda-Sambola, L. I. Martínez-Merino and A. M. Rodríguez-Chía: Location of emergency facilities with uncertainty in the demands -- 20 P. Díaz de Alba and G. Rodriguez: Regularized solution of a nonlinear problem in applied geophysics -- 21 A. Barreras and J.M. Peña: Total positivity: a new inequality and related classes of matrices -- 22 A. Ruiz and C. Muriel: Applications of C∞-symmetries in the construction of solvable structures -- 23 R. de la Rosa and M. S. Bruzón: Travelling wave solutions of a generalized variable-coefficient Gardner equation -- 24 Rodolfo Bermejo and Laura Saavedra: A second order local projection Lagrange-Galerkin method for Navier-Stokes equations at high
Reynolds numbers -- 25 F. Guillén-González and J. R. Rodrıguez-Galvan: Finite Element approximation of Hydrostatic Stokes Equations: Review and Tests
ISBN:9783319320137
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:SEMA SIMAI Springer Series: 8
Keywords: Mathematics , Differential equations , Partial differential equations , Mathematical physics , Computer mathematics , Mathematics , Partial Differential Equations , Ordinary Differential Equations , Mathematical Applications in the Physical Sciences , Computational Mathematics and Numerical Analysis
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Call number:SPRINGER-2016-9783319318035:ONLINE Show nearby items on shelf
Title:Dependence Logic Theory and Applications
Author(s):
Date:2016
Size:1 online resource (276 p.)
Note:10.1007/978-3-319-31803-5
Contents:Introduction -- Durand, Kontinen, Vollmer, Expressivity and Complexity of Dependence Logic -- Väänänen, Grelling on Dependence -- Galliani, On Strongly First-Order Dependencies -- Grädel, Games for Inclusion Logic and Fixed-Point Logic -- Hodge s, Remarks on Compositionality -- Hirvonen, Independence in Model Theory -- Ciardelli, Dependency as Question Entailment -- Link, Approximation Logics for Subclasses of Probabilistic Conditional Independence and Hierarchical Dependence on Incomplete Data -- Nyman, Pensar, Corander, Context-Specific and Local Independence in Markovian Dependence Structures -- Pacuit, Fang, Dependence and Independence in Social Choice: Arrow's Theorem -- Blass, Introduction to Secret-Sharing
ISBN:9783319318035
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Logic , Mathematical logic , Mathematics , Mathematical Logic and Foundations , Mathematical Logic and Formal Languages , Logic
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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-2014-9783319077468:ONLINE Show nearby items on shelf
Title:The Large Scale Structures [electronic resource] : A Window on the Dark Components of the Universe
Author(s): Stphane Ili
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Dark Energy and Dark Matter are among the greatest mysteries in modern cosmology. The present work explores in depth how large cosmic structures can help us unveil the nature of these components of the Universe. One the one hand,it focuses on a signa ture that Dark Energy imprints on the Cosmic Microwave Background through its impact on the time-evolution of gravitational potentials: the integrated Sachs-Wolfe (iSW) effect. Another cosmological background, theCosmic Infrared Background, is considered for the first time in the study of the iSW effect and demonstrated to be a highly efficient and promising tracer. Changing the perspective on the problem, the use of superstructures for iSWdetection is then extensively reviewed: using precise solutions to Einsteins general relativity equations, the full iSW effect is computed, especially due to the cosmic voids predicted by the theory. Using measurements from the mostrecent data, it is subsequently shown how the iSW probes the solidity of the cosmological standard model. On the topic of Dark Matter, an original study is presented, showing that temperature measurements of the intergalactic mediumshed light on the nature of Dark Matter particles, providing the tightest constraints on their decay properties
Contents:Introduction: The Ingredients of a Good Cosmological Probe
Unravelling the iSW Effect Through the Matter Distribution
The Impact of Identified Superstructures in the CMB
Towards a Full Modelling of the iSW effect
Studying Dark Matter Through the Lens of Reionisation
Conclusions & Perspectives
ISBN:9783319077468
Series:eBooks
Series:SpringerLink
Series:Springer Theses, Recognizing Outstanding Ph.D. Research, 2190-5053
Series:Physics and Astronomy (Springer-11651)
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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-2013-9783642317422:ONLINE Show nearby items on shelf
Title:Discrete Time Series, Processes, and Applications in Finance [electronic resource]
Author(s): Gilles Zumbach
Date:2013
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 financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world. Time series and processes are the natural tools for describing thedynamic behavior of financ ial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implications forimportant financial applications used in many ar eas like risk evaluation, option pricing or portfolio construction. The statistical tools used to extract information from raw data are introduced. Extensive multiscale empiricalstatistics provide a solid benchmark of stylized facts (heteroskedasticity, l ong memory, fat-tails, leverage), in order to assess various mathematical structures that can capture the observed regularities. The author introduces abroad range of processes and evaluates them systematically against the benchmark, summarizing the succe sses and limitations of these models from an empirical point of view. The outcome is that only multiscale ARCH processes with longmemory, discrete multiplicative structures and non-normal innovations are able to capture correctly the empirical properties. In particular, only a discrete time series framework allows to capture all the stylized facts in a process,whereas the stochastic calculus used in the continuum limit is too constraining. The present volume offers various applications and extensions for this class of processes including high-frequency volatility estimators, market riskevaluation, covariance estimation and multivariate extensions of the processes. The book discusses many practical implications and is addressed to practitioners and quants in the financial industry, as well as to academics, includinggraduate (Master or PhD level) students. The prerequisites are basic statistics and some elementary financial mathematics. Gilles Zumbach
Note:Springer eBooks
Contents:Preface
List of Figures
List of Tables
1. Introduction
2.Notation, naming and general definitions
3.Stylized facts
4.Empirical mug shots
5.Process Overview
6.Logarithmic versus relative random walks
7.ARCH processes
8.Stochastic volatility processes
9.Regime switching process
10.Price and volatility using high
frequency data
11.Time reversal asymmetry
12.Characterizing heteroskedasticity
13.The innovation distributions
14.Leverage effect
15.Processes and market risk evaluation
16.Option pricing
17.Properties of large covariance matrices
ISBN:9783642317422
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Finance, 1616-0533
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2013-9783642316951:ONLINE Show nearby items on shelf
Title:Introduction to Stokes Structures [electronic resource]
Author(s): Claude Sabbah
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This research monograph provides a geometric description of holonomic differential systems in one or more variables. Stokes matrices form the extended monodromy data for a linear differential equation of one complex variable nearan irregular singular point. The present volume presents the approach in terms of Stokes filtrations. For linear differential equations on a Riemann surface, it also develops the related notion of a Stokes-perverse sheaf. This point ofview is generalized to holonomic systems of linear differential equations in the complex domain, and a general Riemann-Hilbert correspondence is proved for vector bundles with meromorphic connections on a complex manifold. Applicationsto the distributions solutions to such systems are also discu ssed, and various operations on Stokes-filtered local systems are analyzed
Note:Springer eBooks
ISBN:9783642316951
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Mathematics, 0075-8434 : v2060
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geometry, algebraic , Differential Equations , Differential equations, partial , Sequences (Mathematics)
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Call number:SPRINGER-2013-9783642302534:ONLINE Show nearby items on shelf
Title:Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height [electronic resource]
Author(s): Erik Vanem
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides an example of a thorough statistical treatment in space and time of ocean wave data. It is demonstrated how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographicprocesses such as signific ant wave height in order to describe dependence structures and uncertainties in the data. This monograph is a research book and it is in some sense cross-disciplinary. The methodology itself is firmly rootedin the statistical research tradition, based on probability theory and stochastic processes. However, the methodology has been applied to a problem within physical oceanography, analysing data for significant wave height, which are ofcrucial importance to ocean engineering disciplines. Indeed, the stat istical properties of significant wave height are important for the design, construction and operation of ships and other marine and coastal structures. Furthermore,the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what these effects might be. Thus, this book is an important contribution to the on-going debate on climate change, itsimplications and how to adapt to a changing climate, with a particular focus on the maritime industries and the marin e environment. This book should be of general interest to anyone with an interest in statistical modelling ofenvironmental processes, and in particular to those with a particular interest in the ocean wave climate. It is written on a level that should be understandable to everyone with a basic background in statistics or elementarymathematics, and an introduction to some basic concepts is given in appendices for the uninitiated reader. The intended readership incudes students and professionals involved in statistics, oceanography, ocean engineering,environmental research, climate sciences and risk assessment. Moreover, different stakeholders within the maritime industries such as design offices, classif
Note:Springer eBooks
Contents:Preface
Acronyms
1.Introduction and Background
2.Literature Survey on StochasticWave Models
3.A Bayesian Hierarchical Space
Time Model for Significant Wave Height
4.Including a Log
Transform of the Data
6.Bayesian Hierarchical Modelling of the Ocean Windiness
7.Application: Impacts on Ship Structural Loads
8.Case study: Modelling the Effect of Climate Change on the Worlds Oceans
9.Summary and Conclusions
A.Markov Chain Monte Carlo Methods
B.Extreme Value Modelling
C.Markov Random Fields
D.Derivation of the Full Conditionals of the Bayesian Hierarchical
ISBN:9783642302534
Series:e-books
Series:SpringerLink (Online service)
Series:Ocean Engineering & Oceanography, 2194-6396 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
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Call number:SPRINGER-2013-9783034806091:ONLINE Show nearby items on shelf
Title:Towards a General Theory of Classifications [electronic resource]
Author(s): Daniel Parrochia
Pierre Neuville
Date:2013
Publisher:Basel : Springer Basel : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is an essay on the epistemology of classifications. Its main purpose is not to provide an exposition of an actual mathematical theory of classifications, that is, a general theory which would be available to any kind ofthem: hierarchical or non-hierarchical, ordinary or fuzzy, overlapping or non-overlapping, finite or infinite, and so on, establishing a basis for all possible divisions of the real world. For the moment, such a theory remains nothingbut a dream. Instead, the authors essentia lly put forward a number of key questions. Their aim is rather to reveal the state of art of this dynamic field and the philosophy one may eventually adopt to go further. To this end theypresent some advances made in the course of the last century, discus s a few tricky problems that remain to be solved, and show the avenues open to those who no longer wish to stay on the wrong track. Researchers and professionalsinterested in the epistemology and philosophy of science, library science, logic and set theor y, order theory or cluster analysis will find this book a comprehensive, original and progressive introduction to the main questions in thisfield
Note:Springer eBooks
Contents:Foreword
1 Philosophical problems
2 Information data structures
3 Empirical Clustering and classic hierarchies
4 Algebra of trees
5 Generalized Classifications
6 Topology of generalized classifications
7 Meta
classification
8 For an axiomatic theory of classifications
9 Alternative theories and higher infinite
10 Postscript
Bibliography.
ISBN:9783034806091
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Universal Logic
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Logic , Information storage and retrieval systems , Algebra , Logic, Symbolic and mathematical
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Call number:SPRINGER-2013-9781461482833:ONLINE Show nearby items on shelf
Title:New Perspectives in Partial Least Squares and Related Methods [electronic resource]
Author(s): Herve Abdi
Wynne W Chin
Vincenzo Esposito Vinzi
Giorgio Russolillo
Laura Trinchera
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:New Perspectives in Partial Least Squares and Related Methodsshares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series ofPLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes expanded asprojection to latent structures. This is an approach for modeling relations between datamatrices of different types of variables measured on the same set of objects. The twenty-two papers in this volume, which include three invited contributions from our keynote speakers, provide a comprehensive overview of the currentstate of the most advanced research related to PLS and related methods. Pro minent scientists from around the world took part in PLS 2012 and their contributions covered the multiple dimensions of the partial least squares-basedmethods. These exciting theoretical developments ranged frompartial least squaresregression and correla tion, component based path modelingto regularized regression and subspace visualization. In following the tradition of the sixprevious PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selec tion, sparse PLS regression, distance based PLS, significance vs. reliability, and non-linear PLS.Finally, these contributions applied PLS methods to data originating from the traditional econometric/economic data to genomics data, brain images, informati on systems, epidemiology, and chemical spectroscopy. Such a broad andcomprehensive volume will also encourage new uses of PLS models in work by researchers and students in many fields
Note:Springer eBooks
Contents:Keynotes
Large Datasets and Genomics
Brain Imaging
Multiblock Data Modeling
ISBN:9781461482833
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v56
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , 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
Note:Springer e-book platform
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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
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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-2012-9783642256677:ONLINE Show nearby items on shelf
Title:Plasma Turbulence in the Solar System [electronic resource]
Author(s): Yasuhito Narita
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Dynamics of astrophysical systems is often described by plasma physics, yet understanding the nature of plasma turbulence remains as a challenge in physics in both theories and experiments. This book is an up-to-date summary andreview of recent resul ts in research on waves and turbulence in near-Earth space plasma turbulence, obtained by Cluster, the multi-spacecraft mission. Spatial and temporal structures of solar wind turbulence as well as its interactionwith the bow shock ahead of the Earth are p resented using Cluster data. The book presents (1) historical developments, (2) theoretical background of plasma physics, turbulence theories, and the plasma physical picture of the solarsystem, (3) analysis methods for multi-spacecraft data, (4) results of Cluster data analysis, and (5) impacts on astrophysics and Earth sciences
Note:Springer eBooks
Contents:Theoretical background
Multi
spacecraft measurements
Turbulence properties in space plasma
Impacts on related subjects
ISBN:9783642256677
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Physics, 2191-5423
Series:Physics and Astronomy (Springer-11651)
Keywords: Astronomy , Astrophysics
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Call number:SPRINGER-2012-9783642231759:ONLINE Show nearby items on shelf
Title:Topological Methods in Data Analysis and Visualization II [electronic resource] : Theory, Algorithms, and Applications
Author(s): Ronald Peikert
Helwig Hauser
Hamish Carr
Raphael Fuchs
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods,topological ones stand out due to their solid mathematical foundation. Topologically defined structuresas found in scalar, vector and tensor fieldshave proven their merit in a wide range of scientific domains, and scientists havefound them to be revealing in subjects such as ph ysics, engineering, and medicine. Full of state-of-the-art research and contemporary hot topics in the subject, this volume is a selection of peer-reviewed papers originally presentedat the fourth Workshop on Topology-Based Methods in Data Analysis and V isualization, TopoInVis 2011, held in Zurich, Switzerland. The workshop brought together many of the leading lights in the field for a mixture of formalpresentations and discussion. One topic currently generating a great deal of interest, and explored in several chapters here, is the search for topological structures in time-dependent flows, and their relationship with Lagrangiancoherent structures. Contributors also focus on discrete topologies of scalar and vector fields, and on persistence-based simpli fication, among other issues of note. The new research results included in this volume relate to all threekey areas in data analysistheory, algorithms and applications
Note:Springer eBooks
Contents:Part I: Discrete Morse Theory
Part II: Hierarchical Methods for Extracting and Visualizing Topological Structures
Part III: Visualization of Dynamical Systems, Vector and Tensor Fields
Part IV: Topological Visualization of Unsteady Flow
ISBN:9783642231759
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Visualization, 1612-3786
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer graphics , Algorithms , Visualization
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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
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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-2012-9783642224836:ONLINE Show nearby items on shelf
Title:Heterogeneous Ferroelectric Solid Solutions [electronic resource] : Phases and Domain States
Author(s): Vitaly Topolov
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book deals with perovskite-type ferroelectric solid solutions for modern materials science and applications, solving problems of complicated heterophase/domain structures near the morphotropic phase boundary and applicationsto various systems wit h morphotropic phases. In this book domain stateinterface diagrams are presented for the interpretation of heterophase states in perovskite-type ferroelectric solid solutions. It allows to describe the stressrelief in the presence of polydomain phases, th e behavior of unit-cell parameters of coexisting phases and the effect of external electric fields. The novelty of the book consists in (i) the first systematization of data aboutheterophase states and their evolution in ferroelectric solid solutions (ii) the general interpretation of heterophase and domain structures at changing temperature, composition or electric field (iii) the complete analysis ofinterconnection domain structures, unit-cell parameters changes, heterophase structures and stress relief
Note:Springer eBooks
Contents:Preface
Crystallographic Aspects of Interfaces in Ferroelectrics and Related Materials
Two
Phase States
Phase Coexistence under an Electric Field E. Three
Phase States
Overlapping Structures and Transition Regions
Conclusions
ISBN:9783642224836
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Materials Science, 0933-033X : v151
Series:Physics and Astronomy (Springer-11651)
Keywords: Chemistry, Physical organic , Chemistry , Magnetism , Materials
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Call number:SPRINGER-2012-9783642222153:ONLINE Show nearby items on shelf
Title:Handbook of Spectral Lines in Diamond [electronic resource] : Volume 1: Tables and Interpretations
Author(s): Bernhard Dischler
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:This handbook is a breakthrough in the understanding of the large number of spectral lines in diamond. Data on more than 2000 lines and bands are presented in 200 tables, including many unpublished results. With a novelorganization scheme, the search for a specific line is greatly simplified as a benefit for researchers and students. In order to meet the interest in the understanding of the spectra, structure assignments for 80 % of the lines aregiven, of which 15 % only were published before. The ma jority of the structures for the 300 centers is explained in most cases for the first time. A key instrument in the interpretation is the analysis by donor-acceptor pairtransitions. In a special chapter 95 such centers are listed and discussed, of which o nly two have been published before, the first one by the present author in 1994
Note:Springer eBooks
Contents:Introduction
Spectral Lines in Natural Diamond
Spectral Lines in High Pressure Synthetic Diamond (HPHT)
Spectral Lines in Low Pressure Synthetic Diamond (CVD)
Spectral Lines in Modified Diamond (Irradiation, Heat, etc
Spectral Lines in Diamond
Related Material: DLC, Lonsdaleite, etc
Spectral Line Shifts from Substituted and Natural Isotopes
Intrinsic Defects in Diamond
Impurity Defects
Donor
Acceptor Pair Transitions in Diamond
Phonon Sidebands. Local and Quasilocal Modes
Modification of Diamond by Irradiation and Heat
Isotopic Line Shifts in Diamond
Sp
ISBN:9783642222153
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Microwaves , Optical materials , Surfaces (Physics)
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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
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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-2012-9781461436553:ONLINE Show nearby items on shelf
Title:Inference for Functional Data with Applications [electronic resource]
Author(s): Lajos Horvth
Piotr Kokoszka
Date:2012
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
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Note:This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned withinference based on seco nd order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature isan in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests fordependence in data and model residuals and functional prediction. All pr ocedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at twolevels. Readers interested primarily in methodology will find detailed descriptions of the metho ds and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. Theorganization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requis ite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate oradvanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments
Note:Springer eBooks
Contents:Independent functional observations
The functional linear model
Dependent functional data
References
Index
ISBN:9781461436553
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v200
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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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-2012-9781441980748:ONLINE Show nearby items on shelf
Title:Tracer Technology [electronic resource] : Modeling the Flow of Fluids
Author(s): Octave Levenspiel
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:A vessels behavior as a heat exchanger, absorber, reactor, or other process unit is dependent upon how fluid flows through the vessel. In early engineering, the designer would assume either plug flow or mixed flow of thefluid through the vessel. Howe ver, these assumptions were oftentimes inaccurate, sometimes being off by a volume factor of 100 or more. The result of this unreliable figure produced ineffective products in multiple reactionsystems. Written by a pioneering researcher in the field of c hemical engineering, the tracer method was introduced to provide more accurate flow data. First, the tracer method measured the actual flow of fluid through a vessel.Second, it developed a suitable model to represent the flow in question. Such models are used to follow the flow of fluid in chemical reactors and other process units, like in rivers and streams, or solid and porous structures. Inmedicine, the tracer method is used to study the flow of chemicalsharmful and harmlessin the bloodstreams of human s and animals. Tracer Technology Modeling the Flow of Fluids discusses how tracers are used to follow theflow of fluids, and how a variety of models are developed to represent these flows. Octave Levenspiel is Professor Emeritus of Chemical Engineering at Oregon State University. His primary interest is chemical reaction engineering,focusing largely on applying chemical reaction kinetics and physics to the design of chemical reactors. His work has been recognized with awards that include the R.H. Wilhe lm award (AIChE), the W.K. Lewis award (AIChE), and the P.V.Danckwerts award (IChemE). His previous books, including Chemical Reaction Engineering, The Chemical Reactor Omnibook, and Engineering Flow and Heat Exchange, are widely used in industry and teac hing, and have been translated into 12foreign languages
Note:Springer eBooks
Contents:The Tracer Method
The Mean and Variance of a Tracer Curve
The E and the F Curves
Two Ideal Flow Models
Plug Flow and Mixed Flow
Compartment Models
The Dispersion Model
Intermixing Between Flowing Fluids
The Tanks
in
Series Model
Convection Model for Laminar Flow in Pipes
Batch Systems
The Stirred Tank
Mixing Time and Power Requirement
Meandering Flow and Lateral Dispersion
ISBN:9781441980748
Series:e-books
Series:SpringerLink (Online service)
Series:Fluid Mechanics and Its Applications, 0926-5112 : v96
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Chemical engineering , Hydraulic engineering
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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-2011-9789400715738:ONLINE Show nearby items on shelf
Title:Powering Autonomous Sensors [electronic resource] : An Integral Approach with Focus on Solar and RF Energy Harvesting
Author(s): Mara Teresa Penella-Lpez
Manuel Gasulla-Forner
Date:2011
Publisher:Dordrecht : Springer Netherlands : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Autonomous sensors transmit data and power their electronics without using cables. They can be found in e.g. wireless sensor networks (WSNs) or remote acquisition systems. Although primary batteries provide a simple design forpowering autonomous sens ors, they present several limitations such as limited capacity and power density, and difficulty in predicting their condition and state of charge. An alternative is to extract energy from the ambient (energyharvesting). However, the reduced dimensions of most autonomous sensors lead to a low level of available power from the energy transducer. Thus, efficient methods and circuits to manage and gather the energy are a must. An integralapproach for powering autonomous sensors by considering both primary ba tteries and energy harvesters is presented. Two rather different forms of energy harvesting are also dealt with: optical (or solar) and radiofrequency (RF). Opticalenergy provides high energy density, especially outdoors, whereas RF remote powering is pos sibly the most feasible option for autonomous sensors embedded into the soil or within structures. Throughout different chapters, devices suchas primary and secondary batteries, supercapacitors, and energy transducers are extensively reviewed. Then, circu its and methods found in the literature used to efficiently extract and gather the energy are presented. Finally, newproposals based on the authors own research are analyzed and tested. Every chapter is written to be rather independent, with each incorpor ating the relevant literature references. Powering Autonomous Sensors is intended for a wideaudience working on or interested in the powering of autonomous sensors. Researchers and engineers can find a broad introduction to basic topics in this interestin g and emerging area as well as further insights on the topics of solarand RF harvesting and of circuits and methods to maximize the power extracted from energy transducers
Note:Springer eBooks
Contents:1. Introduction
2. Load and Power Conditioning
3. Ambient Energy Sources
4. Primary Batteries and Storage Elements
5. Optical Energy Harvesting
6. Radiofrequency Energy Harvesting
ISBN:9789400715738
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Electronics , Systems engineering
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Call number:SPRINGER-2011-9783642211447:ONLINE Show nearby items on shelf
Title:Laboratory Science with Space Data [electronic resource] : Accessing and Using Space-Experiment Data
Author(s): Daniel Beysens
Luigi Carotenuto
Jack J.W.A van Loon
Martin Zell
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:For decades experiments conducted on space stations like MIR and the ISS have been gathering data in many fields of research in the natural sciences, medicine and engineering. The European Union-sponsored ULISSE project focused onexploring the wealth of unique experimental data provided by revealing raw and metadata from these studies via an Internet Portal. This book complements the portal. It serves as a handbook of space experiments and describes the varioustypes of experimental infrastructure are as of research in the life and physical sciences and technology space missions that hosted scientific experiments the types and structures of the data produced and how one can access the datathrough ULISSE for further research. The book provides an overvi ew of the wealth of space experiment data that can be used for additional research and will inspire academics (e.g. those looking for topics for their PhD thesis) andresearch departments in companies for their continued development
Note:Springer eBooks
Contents:1 Introduction
2 Space and Ground
Based Infrastructures
2.1 Characteristics of the Space Environment
2.2 Space Infrastructure
2.3 Non
orbital weightless research platforms
2.4 Ground
based facilities and space simulators
3 Areas of research
3.1 Physical sciences
3.2 Life sciences
4 ULISSE access to data
4.1 Data description
4.2 Identification of information: the ULISSE knowledge base
4.3 ULISSE: data access services.
ISBN:9783642211447
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Geography , Medicine , Data mining , Life sciences , Astronomy , Astronautics
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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-2011-9783642163135:ONLINE Show nearby items on shelf
Title:The Foundations of Statistics: A Simulation-based Approach [electronic resource]
Author(s): Shravan Vasishth
Michael Broe
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistics and hypothesis testing are routinely used in areas (such as linguistics) that are traditionally not mathematically intensive. In such fields, when faced with experimental data, many students and researchers tend torely on commercial packag es to carry out statistical data analysis, often without understanding the logic of the statistical tests they rely on. As a consequence, results are often misinterpreted, and users have difficulty in flexiblyapplying techniques relevant to their own rese arch they use whatever they happen to have learned. A simple solution is to teach the fundamental ideas of statistical hypothesis testing without using too much mathematics. This bookprovides a non-mathematical, simulation-based introduction to basic sta tistical concepts and encourages readers to try out the simulations themselves using the source code and data provided (the freely available programming language Ris used throughout). Since the code presented in the text almost always requires the use of previously introduced programming constructs, diligent students also acquire basic programming abilities in R. The book is intended foradvanced undergraduate and graduate students in any discipline, although the focus is on linguistics, psychology, and co gnitive science. It is designed for self-instruction, but it can also be used as a textbook for a first course onstatistics. Earlier versions of the book have been used in undergraduate and graduate courses in Europe and the US. Vasishth and Broe have wr itten an attractive introduction to the foundations of statistics. It is concise,surprisingly comprehensive, self-contained and yet quite accessible. Highly recommended. Harald Baayen, Professor of Linguistics, University of Alberta, Canada By using the text students not only learn to do the specificthings outlined in the book, they also gain a skill set that empowers them to explore new areas that lie beyond the books coverage. C
Note:Springer eBooks
Contents:1. Getting Started
2. Randomness and Probability
3. The Sampling Distribution of the Sample Mean
4. Power
5. Analysis of Variance (NOVA)
6. Bivariate Statistics and Linear Models
7. An Introduction to Linear Mixed Models. A. Random Variables
B
Basic R Commands and Data Structures
Index
References
ISBN:9783642163135
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Data mining , Psycholinguistics , Philosophy (General)
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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-2011-9781461408338:ONLINE Show nearby items on shelf
Title:Super-Resolved Imaging [electronic resource] : Geometrical and Diffraction Approaches
Author(s): Zeev Zalevsky
Date:2011
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:In this brief we review several approaches that provide super resolved imaging, overcoming the geometrical limitation of the detector as well as the diffraction effects set by the F number of the imaging lens. In order to obtainthe super resolved enh ancement, we use spatially non-uniform and/or random transmission structures to encode the image or the aperture planes. The desired resolution enhanced images are obtained by post-processing decoding of thecaptured data
Note:Springer eBooks
Contents:Preface
Contents
Chapter One
1.1 Fourier Optics
1.1.1 Free Space propagation: Fresnel & Fraunhofer integrals
1.1.2 Imaging system
1.2: Diffraction Resolution limitation
1.3: Geometrical Resolution limitation
The effects of sampling by CCD (pixel shape & aliasing)
1.4 Super
resolution explained by Degrees of freedom number
1.5 Inverse problem statement of super
resolution
References
Chapter 2
2.1 Single snap
shot double field optical zoom
2.1.1 Introduction
2.1.2 Theory
2.1.3. Simulation Investigation
2.2 Full Field of View Super
resolution Ima
ISBN:9781461408338
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Physics
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer vision
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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
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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