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SPIRES-BOOKS: FIND KEYWORD TEXT PROCESSING COMPUTER SCIENCE *END*INIT* use /tmp/qspiwww.webspi1/16858.47 QRY 131.225.70.96 . find keyword "text processing computer science" ( in books using www Cover
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Call number:SPRINGER-2014-9783319077796:ONLINE Show nearby items on shelf
Title:Geometric Modeling in Probability and Statistics [electronic resource]
Author(s): Ovidiu Calin
Constantin Udrite
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book covers topics of Informational Geometry, a field which deals with the differential geometric study of the manifold probability density functions. This is a field that is increasingly attracting the interest ofresearchers from many different areas of science, including mathematics, statistics, geometry, computer science, signal processing, physics and neuroscience. It is the authors hope that the present book will be a valuable referencefor researchers and graduate students in one of the afo rementioned fields. This textbook is a unified presentation of differential geometry and probability theory, and constitutes a text for a course directed at graduate or advancedundergraduate students interested in applications of differential geometry in probability and statistics. The book contains over 100 proposed exercises meant to help students deepen their understanding, and it is accompanied bysoftware that is able to provide numerical computations of several information geometric objects. The read er will understand a flourishing field of mathematics in which very few books have been written so far
Contents:Part I: The Geometry of Statistical Models
Statistical Models
Explicit Examples
Entropy on Statistical Models
KullbackLeibler Relative Entropy
Informational Energy
Maximum Entropy Distributions
Part II: Statistical Manifolds
An Introduction to Manifolds
Dualistic Structure
Dual Volume Elements
Dual Laplacians
Contrast Functions Geometry
Contrast Functions on Statistical Models
Statistical Submanifolds
Appendix A: Information Geometry Calculator
ISBN:9783319077796
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geometry , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2013-9783319000350:ONLINE Show nearby items on shelf
Title:Algorithms from and for Nature and Life [electronic resource] : Classification and Data Analysis
Author(s): Berthold Lausen
Dirk Van den Poel
Alfred Ultsch
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. Inaddition to theory-o riented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicologydescribe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl),the German Association for PatternRecognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011
Note:Springer eBooks
Contents:Invited
Clustering and Unsupervised Learning
Statistical Data Analysis, Visualization and Scaling
Bioinformatics and Biostatistics
Archaeology and Geography, Psychology and Educational Sciences
Text Mining, Social Networks and Clustering
Banking and Finance
Marketing and Management
Music Classification Workshop
ISBN:9783319000350
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 mining , Social sciences Data processing , Mathematical statistics , Economics Statistics , Operations research
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Call number:SPRINGER-2010-9783642112997:ONLINE Show nearby items on shelf
Title:Elements of Scientific Computing [electronic resource]
Author(s): Aslak Tveito
Hans Petter Langtangen
Bjrn Frederik Nielsen
Xing Cai
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics,astrophysics, chemistry, bi ology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas thatcarry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming
Note:Springer eBooks
Contents:Computing Integrals
Differential Equations: The First Steps
Systems of Ordinary Differential Equations
Nonlinear Algebraic Equations
The Method of Least Squares
About Scientific Software
The Diffusion Equation
Analysis of the Diffusion Equation
Parameter Estimation and Inverse Problems
A Glimpse ofParallel Computing
Index
ISBN:9783642112997
Series:e-books
Series:SpringerLink (Online service)
Series:Texts in Computational Science and Engineering, 1611-0994 : v7
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Biology Data processing , Computer science Mathematics , Computer science , Engineering
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Call number:SPRINGER-2010-9781849962513:ONLINE Show nearby items on shelf
Title:Mathematica: A Problem-Centered Approach [electronic resource]
Author(s): Roozbeh Hazrat
Date:2010
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Mathematica: A Problem-Centered Approach introduces the vast array of features and powerful mathematical functions of Mathematica using a multitude of clearly presented examples and worked- out problems. Each section startswith a description of a new topic and some basic examples. The author then demonstrates the use of new commands through three categories of problems - the first category highlights those essential parts of the text that demonstrate theuse of new commands in Mathematica whilst solvi ng each problem presented - the second comprises problems that further demonstrate the use of commands previously introduced to tackle different situations and - the third presents morechallenging problems for further study. The intention is to enable the reader to learn from the codes, thus avoiding long and exhausting explanations. While based on a computer algebra course taught to undergraduate students ofmathematics, science, engineering and finance, the book also includes chapters on calculus and sol ving equations, and graphics, thus covering all the basic topics in Mathematica. With its strong focus upon programming and problemsolving, and an emphasis on using numerical problems that do not need any particular background in mathematics, this book is also ideal for self-study and as an introduction to researchers who wish to use Mathematica as a computationaltool. Mathematica: A Problem-Centered Approach comes with a free 30 day trial of the Wolfram Mathematica(R) software
Note:Springer eBooks
Contents:1. Introduction
1.1 Mathematica as a calculator
1.2 Numbers
1.3 Algebraic computations
1.4 Trigonometric computations
1.5 Variables
1.6 Equalities =, :=, ==
1.7 Dynamic variables
2. Defining functions
2.1 Formulas as functions
2.2 Anonymous functions
3. Lists
3.1 Functions producing lists
3.2 Listable functions
3.3 Selecting from a list
4. Changing heads!
5. A bit of logic and set theory
5.1 Being logical
5.2 Handling sets
5.3 Decision making, If and Which
6. Sums and products
6.1 Sum
6.2 Product
7. Loops and repetitions
7
ISBN:9781849962513
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Mathematics Series, 1615-2085 : v53
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Algebra Data processing , Computer software
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Call number:SPRINGER-2010-9781441917485:ONLINE Show nearby items on shelf
Title:Algorithms and Programming [electronic resource] : Problems and Solutions
Author(s): Alexander Shen
Date:2010
Edition:2
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:Algorithms and Programming is primarily intended for a first year undergraduate course in programming. Structured in a problem-solution format, the text motivates the student to think through the programming process, thusdeveloping a firm understandi ng of the underlying theory. Although a moderate familiarity with programming is assumed, the book is easily utilized by students new to computer science. The more advanced chapters make the book useful fora graduate course in the analysis of algorithms a nd/or compiler construction. New to the second edition are added chapters on suffix trees, games and strategies, and Huffman coding as well as an appendix illustrating the ease ofconversion from Pascal to C. The material covers such topics as combinatoric s, sorting, searching, queues, grammar and parsing, selected well-known algorithms, and much more. Reviews of the 1st Edition: The book is addressed both toambitious students and instructors looking for interesting problems [and] fulfills this task perfec tly, especially if the reader has a good mathematical background. Zentralblatt MATH This book is intended for students,engineers, and other people who want to improve their computer skills.... The chapters can be read independently. Throughout the book, useful exercises give readers a feeling for how to apply the theory. Computing ReviewsOverall...the book is well done. I recommend it to teachers and those wishing to sharpen their data structure and compiler skills. SIGACT News
Note:Springer eBooks
Contents:Variables, expressions, assignments
Generation of combinatorial objects
Tree traversal (backtracking)
Sorting
Finite
state algorithms in text processing
Data types
Recursion
Recursive and non
recursive programs
Graph algorithms
Pattern matching
Games analysis
Optimal coding
Set representation. Hashing
Sets, trees, and balanced trees
Context
free grammars
Left
to
right parsing (LR)
ISBN:9781441917485
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computer software , Computer science Mathematics , Algorithms
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Call number:SPRINGER-2010-9780817649531:ONLINE Show nearby items on shelf
Title:Notes on Introductory Combinatorics [electronic resource]
Author(s): George Plya
Robert E Tarjan
Donald R Woods
Date:2010
Edition:1st
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Developed from the authors introductory combinatorics course, this book focuses on a branch of mathematics which plays a crucial role in computer science. Combinatorial methods provide many analytical tools used fordetermining the expected performanc e of computer algorithms. Elementary subjects such as combinations and permutations, and mathematical tools such as generating functions and Plyas Theory of Counting, are covered, as are analysesof specific problems such as Ramsey Theory, matchings, and H amiltonian and Eulerian paths. This introduction will provide students with a solid foundation in the subject. ---- This is a delightful little paperback which presents aday-by-day transcription of a course taught jointly by Plya and Tarjan at Stanford Un iversity. Woods, the teaching assistant for the class, did a very good job of merging class notes into an interesting mini-textbook he alsoincluded the exercises, homework, and tests assigned in the class (a very helpful addition for other instructors in the field). The notes are very well illustrated throughout and Woods and the Birkhuser publishers produced a verypleasant text. One can count on [Plya and Tarjan] for new insights and a fresh outlook. Both instructors taught by presenting a succession of examples rather than by presenting a body of theory[The book] is very well suited assupplementary material for any introductory class on combinatorics as such, it is very highly recommended. Finally, for all of us who like the topic and delight in observi ng skilled professionals at work, this book is entertainingand, yes, instructive, reading. Mathematical Reviews (Review of the original hardcover edition) The mathematical community welcomes this book as a final contribution to honour the teacher G. Plya. Zentralblatt MATH(Review of the original hardcover edition)
Note:Springer eBooks
Contents:Introduction
Combinations and Permutations
Generating Functions
Principle of Inclusion and Exclusion
Stirling Numbers
Plya's Theory of Counting
Outlook
Midterm Examination
Ramsey Theory
Matchings (Stable Marriages)
Matchings (Maximum Matchings)
Network Flow
Hamiltonian and Eulerian Paths
Planarity and the Four
Color Theorem
Final Examination
Bibliography
ISBN:9780817649531
Series:e-books
Series:SpringerLink (Online service)
Series:Modern Birkhuser Classics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer software , Electronic data processing , Computer science Mathematics , Algorithms , Combinatorics
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Call number:SPRINGER-2009-9780387709840:ONLINE Show nearby items on shelf
Title:Mathematical Biology [electronic resource] : An Introduction with Maple and Matlab
Author(s): Ronald W Shonkwiler
James Herod
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another. It updates an earlier successful edition and greatly expands the concept of the computerbiology laboratory, giving students a general perspective of the field before proceeding to more specialized topics. The book focuses on problems of contemporary interest, such as cancer, genetics, and the rapidly growing field ofgenomics. It includes new chapters on parasites, ca ncer, and phylogenetics, along with an introduction to online resources for DNA, protein lookups, and popular pattern matching tools such as BLAST. In addition, the emerging field ofalgebraic statistics is introduced and its power illustrated in the conte xt of phylogenetics. A unique feature of the book is the integration of a computer algebra system into the flow of ideas in a supporting but unobtrusive role.Syntax for both the Maple and Matlab systems is provided in a tandem format. The use of a compute r algebra system gives the students the opportunity to examine what if scenarios, allowing them to investigate biological systems in away never before possible. For students without access to Maple or Matlab, each topic presented is complete. Graphic visu alizations are provided for all mathematical results. Mathematical Biology includes extensive exercises, problemsand examples. A year of calculus with linear algebra is required to understand the material presented. The biology presented proceeds from the study of populations down to the molecular level no previous coursework in biology isnecessary. The book is appropriate for undergraduate and graduate students studying mathematics or biology and for scientists and researchers who wish to study the appli cations of mathematics and computers in the natural sciences
Note:Springer eBooks
Contents:Biology, Mathematics and a Mathematical Biology Laboratory
Some Mathematical Tools
Reproduction of the Drive for Survival
Interactions Between Organisms and Their Environment
Age
Dependent Population Structures
Random Movements in Space and Time
The Biological Disposition of Drugs and Inorganic Toxins
Neurophysiology
The Biochemistry of Cells
The Biological Disposition of Drugs and Inorganic Toxins
A Biomathematical Approach to HIV and AIDS
Parasites and Their Diseases
Genetics
Genomics
Phylogenetics
ISBN:9780387709840
Series:e-books
Series:SpringerLink (Online service)
Series:Undergraduate Texts in Mathematics, 0172-6056
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Biology Data processing , Biology Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2009-9780387692777:ONLINE Show nearby items on shelf
Title:Variational Methods in Imaging [electronic resource]
Author(s): Otmar Scherzer
Markus Grasmair
Harald Grossauer
Markus Haltmeier
Frank Lenzen
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features: - Introducesvariational methods wit h motivation from the deterministic, geometric, and stochastic point of view - Bridges the gap between regularization theory in image analysis and in inverse problems - Presents case examples in imaging toillustrate the use of variational methods e.g. den oising, thermoacoustics, computerized tomography - Discusses link between non-convex calculus of variations, morphological analysis, and level set methods - Analyses variational methodscontaining classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations - Uses numerical examples to enhance the theory This book is geared towards graduate students andresearchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area ofimaging science will also find this book useful
Note:Springer eBooks
Contents:Part I: Fundamentals of Imaging
Case examples of imaging
Image and Noise Models
Part II: Regularization
Variational Regularization Methods for the Solution of Inverse Problems
Convex Regularization Methods for Denoising
Variational Calculus for Non
convex Regularization
Semi
group Theory and Scale Spaces
Inverse Scale Spaces
Part III: Mathematical Foundations
Functional Analysis
Weakly Differentiable Functions
Convex Analysis and Calculus Variations
Nomenclature
References
Index
ISBN:9780387692777
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v167
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Radiology, Medical , Computer vision , Numerical analysis , Mathematical optimization
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Call number:SPRINGER-2008-9783540735427:ONLINE Show nearby items on shelf
Title:A Singular Introduction to Commutative Algebra [electronic resource]
Author(s): Gert-Martin Greuel
Gerhard Pfister
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:From the reviews: It is certainly no exaggeration to say that Greuel and Pfister's A Singular Introduction to Commutative Algebra aims to lead a further stage in the computational revolution in commutative algebra, in whichcomputational methods and r esults become central to how the subject is taught and learned. [] Among the great strengths and most distinctive features of Greuel and Pfister's book is a new, completely unified treatment of the globaland local theories. The realization that the two ca ses could be combined to this extent was decisive in the design of the Singular system, making it one of the most flexible and most efficient systems of its type. The authors presentthe first systematic development of this unified approach in a textbook h ere, and this aspect alone is almost worth the price of admission. Another distinctive feature of this book is the degree of integration of explicit computationalexamples into the flow of the text. Strictly mathematical components of the development (ofte n quite terse and written in a formal theorem-proof style) are interspersed with parallel discussions of features of Singular and numerousSingular examples giving input commands, some extended programs in the Singular language, and output. [] Yet another strength of Greuel and Pfister's book is its breadth of coverage of theoretical topics in the portions ofcommutative algebra closest to algebraic geometry, with algorithmic treatments of almost every topic. A synopsis of the table of contents will make th is clear. [] Greuel and Pfister have written a distinctive an highly useful bookthat should be in the library of every commutative algebrais and algebraic geometer, expert and novice alike. I hope that it achieves the educational impact it deserves. John B. Little, Monthly of The Mathematical Association ofAmerica, March 2004 ... The authors' most important new focus is the presentation of non-well orderings that allow them the computat
Note:Springer eBooks
Contents:Rings, Ideals and Standard Bases
Modules
Noether Normalization and Applications
Primary Decomposition and Related Topics
Hilbert Function and Dimension
Complete Local Rings
Homological Algebra
ISBN:9783540735427
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Algebra , Geometry, algebraic , Computer science Mathematics , Algorithms
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Call number:SPRINGER-2007-9780387708737:ONLINE Show nearby items on shelf
Title:Matrix Algebra [electronic resource] : Theory, Computations, and Applications in Statistics
Author(s): James E Gentle
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications instatistics. This part begins w ith the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic properties of vectors and matrices in the multivariatecalculus, and finally discusses operations on matrices in solutions of linear systems and in eigenanalysis. This part is essentially self-contained. The second part of the book begins with a consideration of various types of matricesencountered in statistics, such as projection matrices and positive definite mat rices, and describes the special properties of those matrices. The second part also describes some of the many applications of matrix theory in statistics,including linear models, multivariate analysis, and stochastic processes. The brief coverage in this part illustrates the matrix theory developed in the first part of the book. The first two parts of the book can be used as the textfor a course in matrix algebra for statistics students, or as a supplementary text for various courses in linear models or multivariate statistics. The third part of this book covers numerical linear algebra. It begins with adiscussion of the basics of numerical computations, and then describes accurate and efficient algorithms for factoring matrices, solving linear systems o f equations, and extracting eigenvalues and eigenvectors. Although the book is nottied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. This part is essentially self-co ntained, although it assumes some ability to program inFortran or C and/or the ability to use R/S-Plus or Matlab. This part of the book can be used as the text for a course in statistical computing, or
Note:Springer eBooks
Contents:Linear Algebra
Basic Vector/Matrix Structure and Notation
Vectors and Vector Spaces
Basic Properties of Matrices
Vector/Matrix Derivatives and Integrals
Matrix Transformations and Factorizations
Solution of Linear Systems
Evaluation of Eigenvalues and Eigenvectors
Applications in Data Analysis
Special Matrices and Operations Useful in Modeling and Data Analysis
Selected Applications in Statistics
Numerical Methods and Software
Numerical Methods
Numerical Linear Algebra
Software for Numerical Linear Algebra
ISBN:9780387708737
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Electronic data processing , Computer science , Computer science Mathematics , Mathematical statistics , Engineering
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Call number:SPRINGER-2007-9780387493336:ONLINE Show nearby items on shelf
Title:Computer Algebra Recipes [electronic resource] : An Advanced Guide to Scientific Modeling
Author(s): Richard H Enns
George C McGuire
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Modern computer algebra systems are revolutionizing the teaching and learning of mathematically intensive subjects in science and engineering, enabling students to explore increasingly complex and computationally intensive modelsthat provide analytic solutions, animated numerical solutions, and complex two- and three-dimensional graphic displays. This self-contained text benefits from a spiral structure that regularly revisits the general topics of graphics,symbolic computation, and numerical simulat ion with increasing intricacy at each turn. The text is built around a large number of computer algebra worksheets or recipes that have been designed using MAPLE to provide tools forproblem solving and to stimulate critical thinking. No prior knowledge of MAPLE is assumed. All relevant commands are introduced on a need-to-know basis and are indexed for easy reference. Each recipe is associated with a scientificmodel or method and an interesting or amusing story designed to both entertain and enhance conce pt comprehension and retention. All recipes are included on the CD-ROM enclosed with the book. Aimed at third- and fourth-yearundergraduates in science and engineering, the text contains numerous examples in disciplines that will challenge students progre ssing in mathematics, physics, engineering, game theory, and physical chemistry. Computer Algebra Recipes:An Advanced Guide to Mathematical Modeling can serve as an effective computational science text, with a set of problems following each section of rec ipes to enable readers to apply and confirm their understanding. The book may also beused as a reference, for self-study, or as the basis of an online course
Note:Springer eBooks
Contents:Preface
Introduction
The Appetizers
Phase
Plane Portraits
The Entrees
Linear ODE Models
Nonlinear ODE Models
Linear PDE Models
Soliton Models
The Desserts
Diagnostic Tools for Nonlinear Dynamics
Simulating ODE and PDE Models
ISBN:9780387493336
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Computer simulation , Computer software , Mathematical physics , Engineering mathematics
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Call number:SPRINGER-2007-9780387491592:ONLINE Show nearby items on shelf
Title:An Introduction to Scientific Computing [electronic resource] Twelve Computational Projects Solved with MATLAB
Author(s): Ionut Danaila
Pascal Joly
Sidi Mahmoud Kaber
Marie Postel
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides twelve computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and ImageProcessing. For each p roject the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem, to numerical formulation and programming and finally to critical discussionof numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts.The mathematical framework provides a basic foundation in the subj ect of numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods andwavelets). The book is primarily intended as a graduate-level text in applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicingengineers
Note:Springer eBooks
Contents:Numerical Approximation of Model Partial Differential Equations
Nonlinear Differential Equations: Application to Chemical Kinetics
Polynomial Approximation
Solving an Advection
Diffusion Equation by A Finite Element Method
Solving A Differential Equation by A Spectral Method
Signal Processing: Multiresolution Analysis
Elasticity: Elastic Deformation of A Thin Plate
Domain Decomposition Using A Schwarz Method
Geometrical Design: Bezier Curves and Surfaces
Gas Dynamics: Riemann Problem and Discontinuous Solutions: Application to The Shock Tube Problem
Thermal Engineer
ISBN:9780387491592
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Numerical analysis , Mathematical physics
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Call number:SPRINGER-2006-9783540289937:ONLINE Show nearby items on shelf
Title:Computing in Algebraic Geometry [electronic resource] : A Quick Start using SINGULAR
Author(s): Wolfram Decker
Christoph Lossen
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a quick access to computational tools for algebraic geometry, the mathematical discipline which handles solution sets of polynomial equations. Originating from a number of intense one week schools taught by theauthors, the text is designed so as to provide a step by step introduction which enables the reader to get started with his own computational experiments right away. The authors present the basic concepts and ideas in a compact way,omitting proofs and detours, and they give r eferences for further reading on some of the more advanced topics. In examples and exercises, the main emphasis is on explicit computations using the computer algebra system SINGULAR. Thebook addresses both, students and researchers. It may serve as a bas is for self-study, guiding the reader from his first steps into computing to writing his own procedures and libraries
Note:Springer eBooks
ISBN:9783540289937
Series:e-books
Series:SpringerLink (Online service)
Series:Algorithms and Computation in Mathematics, 1431-1550 : v16
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Geometry, algebraic , Algebra , Computer science Mathematics , Algorithms , Computer software
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Call number:SPRINGER-2006-9780387312620:ONLINE Show nearby items on shelf
Title:Computer Algebra Recipes [electronic resource] : An Introductory Guide to the Mathematical Models of Science
Author(s): Richard H Enns
George C McGuire
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Computer algebra systems are revolutionizing the teaching, the learning, and the exploration of science. Not only can students and researchers work through mathematical models more efficiently and with fewer errors than withpencil and paper, they can also easily explore, both analytically and numerically, more complex and computationally intensive models. Aimed at science and engineering undergraduates at the sophomore/junior level, this introductoryguide to the mathematical models of science is fill ed with examples from a wide variety of disciplines, including biology, economics, medicine, engineering, game theory, mathematics, physics, and chemistry. The topics are organizedinto the Appetizers dealing with graphical aspects, the Entrees concentrati ng on symbolic computation, and the Desserts illustrating numerical simulation. The heart of the text is a large number of computer algebra recipes based on theMaple 10 software system. These have been designed not only to provide tools for problem solvin g, but also to stimulate the readers imagination. Associated with each recipe is a scientific model or method and an interesting oramusing story (accompanied with a thought-provoking quote) that leads the reader through the various steps of the recipe. Th is text is the first of two volumes. The advanced guide, aimed at junior/senior/graduate level students,deals with more advanced differential equation models
Note:Springer eBooks
Contents:The Appetizers
The Pictures of Science
Deriving Model Equations
The Entrees
Algebraic Models. Part I
Algebraic Models. Part II
Linear ODE Models
Difference Equation Models
The Desserts
Monte Carlo Methods
Fractal Patterns
ISBN:9780387312620
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Computer simulation , Computer software , Mathematical physics , Engineering mathematics
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Call number:SPRINGER-2006-9780387288154:ONLINE Show nearby items on shelf
Title:The Mathematica GuideBook for Symbolics [electronic resource]
Author(s): Michael Trott
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Mathematica is today's most advanced technical computing system. It features a rich programming environment, two-and three-dimensional graphics capabilities and hundreds of sophisticated, powerful programming and mathematicalfunctions using state-of- the-art algorithms. Combined with a user-friendly interface, and a complete mathematical typesetting system, Mathematica offers an intuitive easy-to-handle environment of great power and utility. TheMathematica GuideBook for Symbolics (code and text fully tailored for Mathematica 5.1) deals with Mathematica's symbolic mathematical capabilities. Structural and mathematical operations on single and systems of polynomials arefundamental to many symbolic calculations and they are covered in considerable detai l. The solution of equations and differential equations, as well as the classical calculus operations (differentiation, integration, summation, seriesexpansion, limits) are exhaustively treated. Generalized functions and their uses are discussed. In addit ion, this volume discusses and employs the classical orthogonal polynomials and special functions of mathematical physics. Todemonstrate the symbolic mathematics power, a large variety of problems from mathematics and phyics are discussed
Note:Springer eBooks
Contents:Introduction and Orientation
I. Symbolic computations: Remarks
Manipulation of polynomials
Manipulations of rational functions of polynomials
Manipulations of trigonometric expressions
Systems of linear and nonlinear equations
Classical analysis
Differential equations
Integral transforms and generalized functions
Three applications
Overview
II Classical orthogonal polynomials: Remarks
General properties of orthogonal polynomials
Hermite polynomials
Jacobi polynomials
Gegenbauer polynomials
Laguerre polynomials
Legendre polynomials
Chebyshev
ISBN:9780387288154
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algebra Data processing , Algorithms , Computer science , Computer software
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Call number:SPRINGER-2005-9780387283562:ONLINE Show nearby items on shelf
Title:Search Methodologies [electronic resource] : Introductory Tutorials in Optimization and Decision Support Techniques
Author(s): Edmund K Burke
Graham Kendall
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of themajor technologies in opti mization and search methodology. The book is made up of 19 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the worlds leading authorities intheir field. The result is a major state-of-the-ar t tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as atextbook or a reference book to learn and apply these methodologies to a wide range of todays problems. It has been written by some of the worlds most well known authors in the field
Note:Springer eBooks
Contents:Classical Techniques
Integer Programming
Genetic Algorithms
Genetic Programming
Tabu Search
Simulated Annealing
Variable Neighborhood Search
Constraint Programming
Multi
Objective Optimization
Complexity Theory and the No Free Lunch Theorem
Machine Learning
Artificial Immune Systems
Swarm Intelligence
Fuzzy Reasoning
Rough Set Based Decision Support
Hyper
Heuristics
Approximation Algorithms
Fitness Landscapes
ISBN:9780387283562
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Mathematical optimization , Operations research , Engineering mathematics
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Call number:SPRINGER-2005-9780387276458:ONLINE Show nearby items on shelf
Title:Difference Equations [electronic resource] : From Rabbits to Chaos
Author(s): Paul Cull
Mary Flahive
Robby Robson
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Difference equations are models of the world around us. From clocks to computers to chromosomes, processing discrete objects in discrete steps is a common theme. Difference equations arise naturally from such discretedescriptions and allow us to pose and answer such questions as: How much? How many? How long? Difference equations are a necessary part of the mathematical repertoire of all modern scientists and engineers. In this new text, designedfor sophomores studying mathematics and computer scienc e, the authors cover the basics of difference equations and some of their applications in computing and in population biology. Each chapter leads to techniques that can be appliedby hand to small examples or programmed for larger problems. Along the way, the reader will use linear algebra and graph theory, develop formal power series, solve combinatorial problems, visit PerronFrobenius theory, discusspseudorandom number generation and integer factorization, and apply the Fast Fourier Transform to multiply polynomials quickly. The book contains many worked examples and over 250 exercises. While these exercises are accessible tostudents and have been class-tested, they also suggest further problems and possible research topics. Paul Cull is a professor of C omputer Science at Oregon State University. Mary Flahive is a professor of Mathematics at Oregon StateUniversity. Robby Robson is president of Eduworks, an e-learning consulting firm. None has a rabbit
Note:Springer eBooks
Contents:Fibonacci Numbers
Homogeneous Linear Recurrence Relations
Finite Difference Equations
Generating Functions
Nonnegative Difference Equations
Leslies Population Matrix Model
Matrix Difference Equations
Modular Recurrences
Computational Complexity
Some Nonlinear Recurrences
ISBN:9780387276458
Series:e-books
Series:SpringerLink (Online service)
Series:Undergraduate Texts in Mathematics, 0172-6056
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Matrix theory , Functional equations , Combinatorics
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Call number:SPRINGER-2005-9780387241494:ONLINE Show nearby items on shelf
Title:Nonlinear Optimization with Financial Applications [electronic resource]
Author(s): Michael Bartholomew-Biggs
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book introduces the key ideas behind practical nonlinear optimization. Computational financean increasingly popular area of mathematics degree programmesis combined here with the study of an important class ofnumerical techniques. The financia l content of the book is designed to be relevant and interesting to specialists. However, this materialwhich occupies about one-third of the textis also sufficiently accessible to allow thebook to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described and their performance is demonstrated on a range of optimization problems arising in financialmathematics. Theoretical convergence properties of methods are stated and formal proofs are p rovided in enough cases to be instructive rather than overwhelming. Practical behaviour of methods is illustrated by computationalexamples and discussions of efficiency, accuracy and computational costs. Supporting software for the examples and exercise s is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algorithm development and application and in teaching and research supervision. Audi ence The book is aimed at lecturers and students (undergraduate and postgraduate)in mathematics, computational finance and related subjects. It is also useful for researchers and practitioners who need a good introduction to nonlinear optimization
Note:Springer eBooks
Contents:Portfolio Optimization
One
variable optimization
Optimal portfolios with n assets
Unconstrained optimization in n variables
The steepest descent method
The Newton method
Quasi
Newton methods
The conjugate gradient method
Optimal portfolios with restrictions
Larger
scale portfolio problems
Data
fitting and the Gauss
Newton method
Equality constrained optimization
Methods for linear equality constraints
Penalty function methods
Sequential quadratic programming
Further portfolio problems
Inequality constrained optimization
Extending equality
cons
ISBN:9780387241494
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Computer science Mathematics , Numerical analysis , Mathematical optimization , Operations research , Banks and banking
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Call number:SPRINGER-2002-9783642559914:ONLINE Show nearby items on shelf
Title:Classification, Automation, and New Media Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000
Author(s):
Date:2002
Size:1 online resource (535 p.)
Note:10.1007/978-3-642-55991-4
Contents:1: Data Analysis, Statistics, and Classification -- Clustering and Models -- Some New and Some Old Results for the Polytomous Rasch Model -- Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to
Multivariate and Flexible Structural Models -- On the Optimal Number of Clusters in Histogram Clustering -- The Dual Dynamic Factor Analysis Models -- Joint Non-symmetrical Correspondence Analysis with Ordered Categories -- Regression
Analysis of Extremely Multicollinear Data -- Modern Data Analysis: A Clash of Paradigms -- Two-mode Clustering with Genetic Algorithms -- Exact Tests for the Comparison of Binary Data Structures in Time -- Connected Maximum Split
Clustering of Ladder Graphs -- A Generalization of Two-mode Three-way Asymmetric Multidimensional Scaling -- Central Limit Theorem for Probabilities of Correct Classification -- A New Model for the Analysis of Multitrait-multimethod
Data -- Discrete and Continuous Models for Two-way Data -- 2: Pattern Recognition and Automation -- Towards Feature Fusion — A Classifier on the Basis of Automatically Generated Significant Contour Sections -- Convex Discriminant
Analysis Tools for Non Convex Pattern Recognition -- Sparse Kernel Feature Analysis -- 3: Data Mining, Information Processing, and Automation -- Exploring Association Rules by Interactive Graphics -- Classification of Texts with
Support Vector Machines: An Examination of the Efficiency of Kernels and Data-transformations -- Text Mining with the Help of Cohesion Trees -- New Features of Categorical Principal Components Analysis for Complicated Data Sets,
Including Data Mining -- Supplement of Information: Data Integration by Classification of Pairs of Records -- The Completion of Missing Values by Neural Nets for Data Mining -- Knowledge Landscapes: Clustering Hypermedia Course Content
for Efficient Overviews -- Simplification of Knowledge Discovery using “Structure Classification” -- 4: New Media, Web Mining, and Automation -- Natural Language-based Specification and Fuzzy Logic for the Multimedia Development
Process -- A Tool System for an Object-oriented Approach to Construction and Maintenance of Hypermedia Documents -- Recommendations for Virtual Universities from Observed User Behavior -- Virtual Dialect Areas in the Internet:
“Townchats” -- The Navigation Problem in the World-Wide-Web -- Mining Web Usage Data for Automatic Site Personalization -- Integrating Combinatorial Relationships in a Cartography for Web Site Promotion -- 5: Applications in Management
Science, Finance, and Marketing -- Common Due Date Scheduling — Straddling Jobs and Due Windows — -- Currency Derivatives in German Non-financials: Empirical Evidence on Theoretical Approaches -- Data Visualization and Preparation by
Separating Sales Force Data -- Fuzzy Scenario Evaluation -- Fair Stock Risk Premiums under Firm-specific Price Jumps -- What Components Determine Stock Market Returns in the 1990’s? -- A Comparison of Estimators for Multivariate ARCH
Models -- Pricing of a New Integrated Risk Reinsurance Product -- A Multiple Method Approach for Discrimination and Classification in Marketing Research -- Goodness-of-Fit Measures for Two-mode Cluster Analyses -- On Volatility
Transfers During the Asia Crisis in 1997-1998 -- 6: Applications in Medicine, Biology, Archaeology, and Others -- QTL Mapping in Plant Populations -- Robust Multivariate Methods in Geostatistics -- Resampling Methods in Physical
Mapping -- Validating Dialect Comparison Methods -- Rater Classification on the Basis of Latent Features in Responding to Situations -- Results of Automatic Conversion of Diagnoses from ICD-9 to ICD-10 for Cancer Registration --
Exploring Roman Brick and Tile by Cluster Analysis with Validation of Results -- Relief Intensity and the Formation of the Archaeological Record -- Spatio-Temporal Modeling of Cancer Mortality Rates -- The Classification of Critical
Periods for Melanoma Development due to UV-Radiation -- Classification in the Prescription of Medicaments -- Effects of Independent Non-differential Misclassification on the Attributable Risk -- A New Approach to Discriminant Analysis
with Longitudinal Data -- Author Index
ISBN:9783642559914
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Coding theory , Pattern recognition , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Coding and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Pattern Recognition
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Call number:SPRINGER-2000-9783642572807:ONLINE Show nearby items on shelf
Title:Classification and Information Processing at the Turn of the Millennium Proceedings of the 23rd Annual Conference of the Gesellschaft für Klassifikation e.V., University of Bielefeld, March 10–12, 1999
Author(s):
Date:2000
Size:1 online resource (492 p.)
Note:10.1007/978-3-642-57280-7
Contents:1: Data Analysis and Classification -- New Developments in Latent Variable Models -- Regression-Type Models for Kohonen’s Self-Organizing Networks -- Relational Data Analysis, Discrimination and Classification -- Data Types and
Information: Beyond the Current Practice of Data Analysis -- Two-Mode Three-Way Asymmetric Multidimensional Scaling with Constraints on Asymmetry -- Regularized Discriminant Analysis with Optimally Scaled Data -- Recurrence Properties
in Two-Mode Hierarchical Clustering -- On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia -- On the Modal Understanding of Triadic Contexts -- Clustering and Scaling: Grouping Variables in Burt Matrices --
Standardisation of Data Set under Different Measurement Scales -- Neural Networks for Two-Group Classification Problems with Monotonicity Hints -- A Bridge from the Nearest Neighbour to the Fixed Bandwidth in Nonparametric Functional
Estimation -- Clustering Techniques for the Detection of Business Cycles -- Simulated Annealing Optimization for Two-mode Partitioning -- 2: Computer Science, Computational Statistics, and Data Mining -- Competitiveness of Evolutionary
Algorithms -- Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach -- Algorithm Selection Support for Classification -- Society of Knowledge — Interdisciplinary Perspectives of Information Processing in
Virtual Networks -- What is Computational Statistics? -- A Development Framework for Nature Analogic Heuristics -- Systematizing and Evaluating Data Mining Methods -- On Textures: A Sketch of a Texture-Based Image Segmentation Approach
-- Automatic Texture Classification by Visual Properties -- Java Servlets versus CGI — Implications for Remote Data Analysis -- Generating Automatically Local Feature Groups of Complex and Deformed Objects -- Decision Tree Construction
by Association Rules -- Learning Complex Similarity Measures -- Graphical Programming in Statistics: The XGPL Prototype -- 3: Management Science, Marketing, and Finance -- Measuring Brand Loyalty on the Individual Level: a Comparative
Study -- Facility Location Planning with Qualitative Location Factors -- Testing the Multinomial Logit Model -- Time Optimal Portfolio Selection: Mean-variance-efficient Sets for Arithmetic and Geometric Brownian Price Processes --
Analyzing Multigroup Data with Structural Equation Models -- Validity of Customized and Adaptive Hybrid Conjoint Analysis -- Analysis of the Assessments of One’s Values Among Different Cohorts in Age and Sex by Multidimensional Scaling
-- Impacts of Hedging with Futures on Optimal Production Levels -- How to Integrate Stock Price Jumps into Portfolio Selection -- A Multivariate GARCH-M Model for Exchange Rates in the US, Germany and Japan -- A Model for Constructing
Quadratic Objective Functions and its Applications to Price Adjustments -- 4: Biology, Genome Analysis, and Medicine -- Phylogeny Inference by Minimum Conflict -- Detecting Change-Points in Aircraft Noise Effects -- A Generalized
Estimating Equations Approach to Quantifying the Influence of Meteorological Conditions on Hand Dermatitis -- Discrimination in Paired Data Situations -- Classification of Multidimensional Visual Field Data for Glaucoma Diagnosis --
Quality of Life of Cancer Patients: A Multi-set Analysis -- A New Approach on Nonparametric Repeated Measures Analysis of Variance -- 5: Text Analysis and Information Retrieval -- GERHARD (German Harvest Automated Retrieval and
Directory) -- Automatic Labelling of References for Internet Information Systems -- Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries -- Computer Aided Evaluations of Linguistic Atlases: Prom Automatic
Classification to Dialectometry -- Structured Phrases for Indexing and Retrieval of Research Topics -- Author and Subject Index
ISBN:9783642572807
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Probabilities , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1997-9789400900554:ONLINE Show nearby items on shelf
Title:Electronic Publishing for Physics and Astronomy
Author(s):
Date:1997
Size:1 online resource (250 p.)
Note:10.1007/978-94-009-0055-4
Contents:— Electronic Publishing in its Context -- The Impact of Information Technology and Networks: New Perspectives for Scientific, Technical and Medical (STM) Publishing -- Advanced Multimedia Publishing: Where does Europe Stand in the
Wired World? -- The Technologies which Underpin Electronic Publishing -- Electronic Publishing: The Role of a Large Scientific Society -- The AAS Program of Electronic Publication -- The Project of Electronic Publication of ‘Astronomy
and Astrophysics’ -- The ACM Electronic Publishing Plan -- The ACM Interim Copyright Policy -- The ICSU Press Programme on Electronic Publishing in Science -- Electronic Publishing: Economic Issues in a Time of Transition -- Rights
Management in Electronic Environments -- Protecting Published Science -- Bits and Bytes and Still a Lot of Paper: Astronomy Libraries and Librarians in the Age of Electronic Publishing -- The Role of Data Centres in the Era of
Electronic Publishing -- The Digital Library of the Astrophysics Data System -- Electronic Yellow-Page Services: The Star*s Family as an Example of Diversified Publishing -- Electronic Publishing at Institute of Physics -- Ideal and
Appeal: A Model for Consortium Licensing of Electronic Journal Collections
ISBN:9789400900554
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Astrophysics and Space Science Library: 224
Keywords: Physics , Computer science , Information storage and retrieval , Text processing (Computer science) , Observations, Astronomical , Astronomy , Physics , Physics, general , Astronomy, Observations and Techniques , Document Preparation and Text Processing , Information Storage and Retrieval , Computer Science, general
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Call number:SPRINGER-1997-9780817647612:ONLINE Show nearby items on shelf
Title:Algorithms and Programming Problems and Solutions
Author(s): Alexander Shen
Date:1997
Size:1 online resource (217 p.)
Note:10.1007/978-0-8176-4761-2
Contents:Variables, expressions, assignments -- Generation of combinatorial objects -- Tree traversal (backtracking) -- Sorting -- Finite-state algorithms in text processing -- Data types -- Recursion -- Recursive and nonrecursive programs --
Graph algorithms -- Pattern matching -- Set representation. Hashing -- Sets, trees, and balanced trees -- Context-free grammars -- Left-to-right parsing (LR)
ISBN:9780817647612
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Computer programming , Computer mathematics , Algorithms , Computer Science , Programming Techniques , Algorithms , Computational Mathematics and Numerical Analysis , Computational Science and Engineering
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Call number:SPRINGER-1996-9789400708587:ONLINE Show nearby items on shelf
Title:Advanced Relational Programming
Author(s): Filippo Cacace
Date:1996
Size:1 online resource (394 p.)
Note:10.1007/978-94-007-0858-7
Contents:1. Introduction -- 1.1. Brief History of Database Technology -- 1.2. The Relational Approach -- 1.3. Data-Intensive Application Domains -- 1.4. Requirements of New Data-Intensive Applications -- 2. Overview Of Recent Evolution In
Database Technology -- 2.1. Semantic Data Models -- 2.2. Functional Data Models -- 2.3. Temporal Databases -- 2.4. Extended Relational Databases -- 2.5. Deductive Databases -- 2.6. Object-Oriented Databases -- 2.7. Active Databases --
3. Theory Of The Nested Relational Model -- 3.1. The Relational Data Model -- 3.2. Relational Algebra -- 3.3. Relational Calculus -- 3.4. Nested Relational Data Model -- 3.5. Extended Relational Algebra -- 3.6. Equivalence of Extended
Relational Algebra Expressions -- 3.7. Extended Relational Calculus -- 3.8. Expressive Power: Comparing Algebra and Calculus -- 3.9. Taxonomy of Nested Relations -- 3.10. Further Extensions to the Nested Relational Model -- 4. Algres,
An Extended Relational Database Programming Language -- 4.1. A Tour of Aigres -- 4.2. Rationale of Aigres Design -- 5. Programming In Algres -- 5.1. Constants, Identifiers, and Objects -- 5.2. Groups and Persistency -- 5.3. Operations
-- 5.4. The Quantification Mechanism -- 5.5. Input-Output -- 5.6. Control structures and blocks -- 5.7. Subprograms -- 5.8. Links -- 5.9. Built in functions -- 5.10. Program Structure -- 6. Alice, The Application Program Interface Of
Algres -- 6.1. A Tour of Alice -- 6.2. Guidelines for Writing Alice Programs -- 6.3. Programming in Alice -- 7. Algraph, The Graphical Interface Of Algres -- 7.1. Graphical Display -- 7.2. Graphical Read -- 7.3. Motif Interface for
Input-Output -- 7.4. Schema Editor -- Appendix A: Syntax Of Algres -- Appendix B: Syntax Of Alice Operators -- Appendix C: Algres And Alice Keywords -- Appendix D: Installing And Using The Algres System -- Getting a Free Copy of the
Aigres System -- Installing Aigres -- Using Aigres Commands -- Compiling and Executing Aigres Programs -- Compiling and Executing Alice Applications -- Editing Aigres Objects
ISBN:9789400708587
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematics and Its Applications : 371
Keywords: Computer science , Software engineering , Programming languages (Electronic computers) , Data structures (Computer science) , Computer science , Text processing (Computer science) , Computer Science , Document Preparation and Text Processing , Programming Languages, Compilers, Interpreters , Data Structures, Cryptology and Information Theory , Software Engineering/Programming and Operating Systems , Symbolic and Algebraic Manipulation
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Call number:SPRINGER-1995-9789401103978:ONLINE Show nearby items on shelf
Title:Information & On-Line Data in Astronomy
Author(s):
Date:1995
Size:1 online resource (291 p.)
Note:10.1007/978-94-011-0397-8
Contents:Facets and Challenges of the Information Technology Evolution -- The Compton Gamma-Ray Observatory Archive -- Data from the X-ray Observatory ROSAT -- The Einstein On-Line Service -- The EUVE Archive -- The IUE Archives -- Building
the archive facility of the ESO Very Large Telescope -- Deep Near Infrared Survey of the Southern Sky (DENIS) -- Data from the Cosmic Background Explorer (COBE) -- The NASA/IPAC Extragalactic Database -- LEDA: The Lyon-Meudon
Extragalactic Database -- The Database for Galactic Open Clusters (BDA) -- The HEASARC facility -- IPAC Datasets and On-Line Services -- The Archives of the Canadian Astronomy Data Centre -- A global perspective on astronomical data
and information: the Strasbourg astronomical Data Center (CDS) -- Data Holdings in the ADS -- The European Space Information System (ESIS) -- The Star*s Family: An example of comprehensive yellow-page services -- Library Information
Services -- How to make your information available on the network -- Computer Networking in Astronomy -- Data Storage Technology for Astronomy -- NED and SIMBAD Conventions for Bibliographic Reference Coding -- List of Authors -- List
of Acronyms
ISBN:9789401103978
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Astrophysics and Space Science Library: 203
Keywords: Statistics , Data structures (Computer science) , Text processing (Computer science) , Observations, Astronomical , Astronomy , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Data Structures, Cryptology and Information Theory , Document Preparation and Text Processing , Astronomy, Observations and Techniques
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Call number:SPRINGER-1993-9783642509742:ONLINE Show nearby items on shelf
Title:Information and Classification Concepts, Methods and Applications Proceedings of the 16th Annual Conference of the “Gesellschaft für Klassifikation e.V.” University of Dortmund, April 1–3, 1992
Author(s):
Date:1993
Size:1 online resource (517 p.)
Note:10.1007/978-3-642-50974-2
Contents:I: Data Analysis and Classification -- Classification Methods -- Hierarchical Clustering of Sampled Functions -- Spatial Clustering of Species Based on Quadrat Sampling -- A kn-Nearest Neighbour Algorithm for Unimodal Clusters --
Asymptotic Robustness in Cluster-Analysis for the Case of Tukey-Huber Distortions -- Choosing the Number of Component Clusters in the Mixture-Model Using a New Informational Complexity Criterion of the Inverse-Fisher Information Matrix
-- Fuzzy Classification -- Fuzzy Sets and Fuzzy Partitions -- Fuzzy Clustering by Minimizing the Total Hypervolume -- Conceptual Analysis -- Conceptual Data Systems -- Conceptual Clustering via Convex-Ordinal Structures -- Diagrams of
Similarity Lattices -- Approximate Galois Lattices of Formal Concepts -- Representation of Data by Pseudoline Arrangements -- Mathematical Characterizations -- A Relational Approach to Split Decomposition -- Some New Useful
Representations of Dissimilarities in Mathematical Classification -- Multidimensional Scaling -- A Comparison of Two Methods for Global Optimization in Multidimensional Scaling -- Directional Analysis of Three-Way Skew-Symmetric
Matrices -- Clustering in Low-Dimensional Space -- The Construction of Neighbour-Regions in Two Dimensions for Prediction with Multi-Level Categorical Variables -- Different Geometric Approaches to Correspondence Analysis of
Multivariate Data -- Nonlinear Biplots for Nonlinear Mappings -- Various Methods for Data Analysis -- Gradient Filtering Projections for Recovering Structures in Multivariate Data -- Classification with Set-Valued Decision Functions --
Canonical Discriminant Analysis: Comparison of Resampling Methods and Convex-Hull Approximation -- Nonparametric Prediction of Time Series on the Basis of Typical Course Patterns -- Moving Point Patterns: The Poisson Case -- II:
Information Retrieval, Knowledge Processing and Software -- Information Retrieval -- Representations, Models and Abstractions in Probabilistic Information Retrieval -- Fuzzy Graphs as a Basic Tool for Agglomerative Clustering and
Information Retrieval -- The Various Roles of Information Structures -- Neural Networks -- Classification Properties of Communicating Neural Networks -- Knowledge Extraction from Self-Organizing Neural Networks -- Self-Organizing
Neural Networks for Visualisation and Classification -- Expert Systems and Knowledge Processing -- HyDi: Integration of Hypermedia and Expert System Technology for Technical Diagnosis -- Classification and Learning of Similarity
Measures -- Context Sensitive Knowledge Processing -- An Efficient Application of a Rule-Based System -- Computational Linguistics -- Acquisition of Syntactical Knowledge from Text -- Generating Topic-Based Links in a Hypertext-System
for News -- Software -- Interactively Displaying Ultrametric and Additive Trees -- Anaglyphen 3D — A Program for the Interactive Representation of Three-Dimensional Perspective Plots of Statistical Data -- III: Applications and Special
Topics -- Sequence Data and Tree Reconstruction -- Discovering Consensus Molecular Sequences -- Alignment and Hierarchical Clustering Method for Strings -- More Reliable Phylogenies by Properly Weighted Nucleotide Substitutions --
Caminalcules and Didaktozoa: Imaginary Organisms as Test-Examples for Systematics -- Data Analysis and Informatics in Medicine -- Multivariate Analysis of the Process of Acclimation of Physiologic Variables -- Classification of EEG
Signals into General Stages of Anesthesia in Real-Time Using Autoregressive Models -- Automatic Segmentation and Classification of Multiparametric Image Data in Medicine -- Pseudoroots as Descriptors for a Thesaurus Based on Weidtman’s
Diagnosis Table of Pediatrics -- Special Topics - Thesauri, Archaeology, Musical Science and Psychometrics -- An Approach to a Space Related Thesaurus -- Classification of Archaeological Sands by Particle Size Analysis -- The Analysis
of Stratigraphic Data with Particular Reference to Zonation Problems -- Classification Criterion and the Universals in the Organization of a Musical Text -- A Two-Mode Clustering Study of Situations and Their Features
ISBN:9783642509742
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Health informatics , Bioinformatics , Computational biology , Probabilities , Statistics , Economic theory , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Probability Theory and Stochastic Processes , Statistics, general , Health Informatics , Computer Appl. in Life Sciences
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Call number:SPRINGER-1982-9789400977723:ONLINE Show nearby items on shelf
Title:Pattern Recognition Theory and Applications Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981
Author(s):
Date:1982
Size:1 online resource (576 p.)
Note:10.1007/978-94-009-7772-3
Contents:Section 1 Pattern Recognition Methodology -- Advances in Nonparametric Techniques of Statistical Pattern Classification -- Statistical Pattern Recognition of Binary Variables -- On the Haar Condition in Algorithms for the Optimal
Solution of Linear Inequalities -- Pattern Class Representation Related to the Karhunen-Loeve Expansion -- Sample Size Sensitive Entropy -- An Optimal Clustering Method Based on the Rasson’s Criterion and Resulting from a New Approach
-- Computational Geometric Problems in Pattern Recognition -- A Coding Approach to Pattern Recognition -- Fuzzy Set Theoretic Approach: A Tool for Speech and Image Recognition -- Syntactic Methods in Pattern Recognition -- Hybrid
Approaches to Pattern Recognition -- Pattern Recognition of Relational Structures -- Hybrid Pattern Recognition: A Synthesis of the Numerical and Qualitative Approaches -- Fusion of Multisensor Data in Pattern Recognition -- Section 2
Image Understanding and Interpretation -- Artificial Intelligence Approaches to Image Understanding -- Summary of the DARPA Image Understanding Research Program -- Three-Dimensional Object Representation -- Automatic Interpretation of
Lines and Text in Circuit Diagrams -- A Modular System for Interpreting Binary Pixel Representations of Line-Structured Data -- Recognition of Time Varying Patterns in Image Sequences -- Section 3 Medical Applications -- Application of
Statistical and Syntactical Methods of Analysis and Classification to Chromosome Data -- Attributes for Pattern Recognition Selected by Stepwise Data Compression Supervised by Visual Classification -- Application of Pattern Recognition
to Knowledge System Design and Diagnostic Inference -- Applications of Interactive Pattern Recognition -- An Electrocardiographic Signal Understanding System -- Segmentation-Based Boundary Extraction for Endocardial Definition in
Cross-Sectional Echocardiography -- Computerised Anatomy Atlas of the Human Brain -- Section 4 Speech Processing and Other Applications -- Decision Theoretic and Structural Pattern Recognition Methods in Speech Processing -- Pattern
Recognition and Machine Intelligence Techniques for Electric Power System Security Assessment -- A Multi-Microcomputer Based Reading Machine for the Blind -- Decision-Set Concept with Application to the Recognition of Hand-Printed
Numeric Characters -- On the Development of a Model for Determining the Frequency of Occurrence of English Language Words -- Section 5 Panel Discussion -- Summary of Panel Discussion on Decision Theoretic Methods -- Author Index
ISBN:9789400977723
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO Advanced Study Institutes Series, Series C — Mathematical and Physical Sciences: 81
Keywords: Computer science , Coding theory , Artificial intelligence , Computer graphics , Computer Science , Artificial Intelligence (incl. Robotics) , Computer Imaging, Vision, Pattern Recognition and Graphics , Coding and Information Theory
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Call number:SPRINGER-1982-9783642514616:ONLINE Show nearby items on shelf
Title:COMPSTAT 1982 5th Symposium held at Toulouse 1982 Part I: Proceedings in Computational Statistics
Author(s):
Date:1982
Size:1 online resource (469 p.)
Note:10.1007/978-3-642-51461-6
Contents:1. Invited Papers -- On Some Problems in Analysing Non-orthogonal Designs -- Analytical Computing: Its Nature and Needs -- Updating Formulae and a Pairwise Algorithm for Computing Sample Variances -- Convex Hull Peeling -- Statistical
Computing at INSEE -- Artificial Intelligence and Data Analysis -- Classification of Multivariate Autoregressive Processes -- Exploratory Analysis of Large Sparse Matrices with Application to Textual Data -- Nonlinear Principal
Component Analysis -- A Programming Language for Multivariate Data Analysis -- Procedures for Optimal Collapsing of Two-way Contingency Table -- Computer Science as a Tool Improving Data Analysis Researches and Uses -- Applied Graph
Analysis in the Social Sciences: The Software Project GRADAP -- Microprocessors for Biomedical Research, Database Management and Analysis -- Parallel Processing in Statistics -- 2. Contributed Papers -- Software to Link Database
Interrogation and Statistical Analysis -- Development of a Statistical Language -- MICROSTAT: A Microcomputer Conversational System for Statistical Data Analysis -- An Algorithm for Nonnegative Least Squares and Projection onto Cones
-- Non Parametric Decision Trees by Bayesian Approach -- A Comparative Assessment of Data Management Software -- From Data Analysis to Non Parametric Statistics: Recent Developments and a Computer Realization for Exploratory Techniques
in Regression or Prediction -- Postgraduate Training for Statisticians — Database Methods -- Crossings, Orders and Ultrametrics: Application to Visualization of Consensus for Comparing Classifications -- Statistical Programs for
Microcomputers: The Implementation of a Directory for Data Structures -- Data Management and Tabulation in OPCS -- Archaeology, Data Analysis, Computer Science: How to Run Proper Treatment of Archaeological Data -- BLINWDR: Robust and
Bounded Influence Regression -- An Analysis of Developers’ and Users’ Ratings of Statistical Software Using Multiple Correspondence Analysis -- Real Time Graphical Techniques for Analyzing Multivariate Data -- About Fuzzy
Discrimination -- A Fortran Preprocessor for Statistical Data Analysis -- An Analysis of Continuous Proportions -- A Sampling Procedure for Historical Data -- Use of Systemic Networks for Text Analysis -- SPASP — A Statistical Program
for the Analysis of Stochastic Processes -- TOOLPACK: Improving the Programming Environment for Statistical Software -- A Programming Technique for Software in Statistical Analysis -- A Comparison of Types of Database System Used in
Statistical Work -- The Frontiers of Statistical Analysis -- Implementation of a Statistical Database System: HSDB -- A Synthetic Approach to Multivariate Normal Clustering -- Variable Selection in Generalized Linear Models --
Approximation of Surfaces in (p+1)-Dimensional Spaces -- Standardized Comparison of Nonlinear Model Fitting Algorithms -- Numerical Approach to the Optimal Design Problem for Regression Models with Correlated Errors -- An Experimental
Design and Analysis Package for Microcomputers -- Propositions for Fuzzy Characteristic Functions in Data Analysis -- Integrated System for Modelling Multivariate Time Series -- Software for Time Series Analysis -- Choice of Methods
and Algorithms for Statistical Treatment of Large Arrays of Data -- New Computing Tools and New Statistical Packages -- Statistical Computing Based on Text Editing -- Cluster Analysis Based on the Maximization of the RV Coefficient --
Statistical Approach to System Parameter Synthesis -- Statistical Match of Samples Using Additional Information -- An Exploratory Program Package for Non-Linear Data-Smoothers -- Applying Parallel Processing to Data Analysis: Computing
a Distance’s Matrix on a SIMD Machine -- The Balance between Teaching Computing and Statistics -- Canonical Analysis with B-splines -- Detecting Outliers in Simultaneous Linear Models -- Least Squares Optimisation of General
Log-likelihood Functions and Estimation of Separable Linear Parameters -- Computational Procedures for Bounded-Influence Regression -- MUDFOLD: Multiple Stochastic Unidimensional Unfolding -- The Estimation of Missing Values in Highly
Correlated Data -- Relational Design of Statistical Databases -- A Forward Multivariate Regression Procedure Based on the Maximization of the RV Coefficient -- Evaluation of Statistical Software Based on Empirical User Research --
Sound and Exploratory Data Analysis -- Monotone Splines: A Family of Transformations Useful for Data Analysis -- Results of the Application of Multimodal Optimization Algorithms Based on Statistical Models -- Address list of authors
ISBN:9783642514616
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics and Computing/Statistics Programs
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Call number:QA76.9.T48F75::2006 Show nearby items on shelf
Title:Mastering regular expressions
Author(s): Jeffrey E.F. Friedl
Date:2006
Publisher:O'Reilly
Note:Regexes
Note:A regular expression (regex) is a pattern that describes a set of strings.
Contents:Introduction to Regular Expressions, Extended Introductory Examples, Overview of Regular Expression Features and Flavors, The Mechanics of Expression Processing, Practical Regex Techniques, Crafting an Efficient Expression, Perl, Java, NET, PHP
ISBN:0596528124
Keywords: Text processing (Computer science) , Perl (Computer program language) , Computer programming. , Programming languages (Electronic computers) , Electronic data processing , String matching
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Call number:HF5738.A32::2008 Show nearby items on shelf
Title:Implementing electronic document and record management systems
Author(s): Azad Adam
Date:2008
Publisher:Auerbach Publications
Contents:The History and Background of EDRMS, Fundamentals of EDRMS, Complying with Standards and Legislation, Creating Electronic Document Types, Creating the Folder Structure, Search and Retrieval, Integrating Workflow, Email Management, Records Management and Records Management Policies, User Interfaces, Mobile Working and Remote Access, Scanning Historical Documents and Records, The Business Case, The Functional Requirements, The Technical Specification, EDRMS Software Platforms, Hardware Considerations, Managing the Cultural Change of EDRMS, The On-going Nature of the Project
ISBN:9780849380594
Keywords: Electronic filing systems , Business records Data processing Management , Public records Data processing Management , Medical records Data processing Management , Records Management Data processing , Electronic records Management , Text processing (Computer science)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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