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Call number: | 9783319428635:ONLINE Show nearby items on shelf |
Title: | Exploring Classical Greek Construction Problems with Interactive Geometry Software |
Author(s): |
Ad Meskens |
Date: | 2017 |
Size: | 1 online resource (XII, 185 p. 160 illus., 10 illus. in color p.) |
Contents: | 1 Introduction -- 2 The Genesis of Geometry -- 3 Straightedge and compass constructions -- 4 The Delian Problem -- 5 Trisecting an angle -- 6 Squaring the circle -- 7 Constructible numbers -- 8 The Cinderella of regular polygons -- |
Afterthoughts -- Solutions -- Index | |
ISBN: | 9783319428635 |
Series: | eBooks |
Series: | Springer eBooks |
Series: | Springer 2017 package |
Keywords: | Mathematics , Geometry , History , Mathematics , Mathematics , Geometry , History of Mathematical Sciences , Mathematics Education |
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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: | TJ213.K8354::2003 Show nearby items on shelf |
Title: | Automatic control systems |
Author(s): |
Benjamin C. Kuo Farid Golnaraghi |
Date: | 2003 |
Edition: | 8th ed. |
Publisher: | New York : John Wiley & Sons |
Size: | 609 p. |
Note: | CD-ROM in back of book |
Contents: | Chapter 1. Introduction. Chapter 2. Mathematical Foundation. Chapter 3. Block Diagrams and Signal-Flow Graphs. Chapter 4. Modeling of Physical Systems. Chapter 5. State Variable Analysis. Chapter 6. Stability of Linear Control Systems. Chapter 7. Time-Domain Analysis of Control Systems. Chapter 8. Root-Locus Technique. Chapter 9. Frequency-Domain Analysis. Chapter 10. Design of Control Systems. Chapter 11. The Virtual Lab. Index. Appendix A. Complex Variable Theory. Appendix B. Differential and Difference Equations. Appendix C. Elementary Matrix Theory and Algebra.. Appendix D. Laplace Transform Table. Appendix E. Operational Amplifiers. Appendix F. Properties and Construction of the Root Loci. Appendix G. Frequency-Domain Plots. Appendix H. General Nyquist Criterion. Appendix I. Discrete-Data Control Systems. Appendix J. z-Transform Table. Appendix K. ACSYS 2002: Description of the Software. Answers to Selected Problems |
ISBN: | 0471134767 |
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Location: | MAIN |
Call number: | SPRINGER-2016-9783319400754:ONLINE Show nearby items on shelf |
Title: | Excel 2016 for Physical Sciences Statistics A Guide to Solving Practical Problems |
Author(s): |
Thomas J Quirk |
Date: | 2016 |
Size: | 1 online resource (161 p.) |
Note: | 10.1007/978-3-319-40075-4 |
ISBN: | 9783319400754 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Application software , Mathematical physics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Mathematical Applications in the Physical Sciences , Computer Appl. in Social and Behavioral Sciences |
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Call number: | SPRINGER-2016-9783319333380:ONLINE Show nearby items on shelf |
Title: | Optimization of Polynomials in Non-Commuting Variables |
Author(s): |
Sabine Burgdorf |
Date: | 2016 |
Size: | 1 online resource (104 p.) |
Note: | 10.1007/978-3-319-33338-0 |
ISBN: | 9783319333380 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Mathematics , Algebraic geometry , System theory , Computer software , Quantum computers , Operations research , Management science , Mathematics , Algebraic Geometry , Quantum Computing , Operations Research, Management Science , Mathematical Software , Systems Theory, Control |
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Call number: | SPRINGER-2016-9783319324289:ONLINE Show nearby items on shelf |
Title: | Programming for Computations - Python A Gentle Introduction to Numerical Simulations with Python |
Author(s): |
Svein Linge |
Date: | 2016 |
Size: | 1 online resource (232 p.) |
Note: | 10.1007/978-3-319-32428-9 |
Contents: | Preface -- The first few steps -- Basic constructions -- Computing integrals -- Solving ordinary differential equations -- Solving partial differential equations -- Solving nonlinear algebraic equations -- Getting access to Python -- References -- Index |
ISBN: | 9783319324289 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Texts in Computational Science and Engineering: 15 |
Keywords: | Mathematics , Numerical analysis , Computer mathematics , Computer software , Mathematics , Computational Science and Engineering , Numeric Computing , Mathematical Software , Numerical Analysis |
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Call number: | SPRINGER-2016-9783319289649:ONLINE Show nearby items on shelf |
Title: | Excel 2013 for Physical Sciences Statistics A Guide to Solving Practical Problems |
Author(s): |
Thomas J Quirk |
Date: | 2016 |
Edition: | 1st ed. 2016 |
Size: | 1 online resource (1 p.) |
Note: | 10.1007/978-3-319-28964-9 |
Contents: | Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Random Number Generator -- Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- Two-Group t-Test of the Differ ence of the Means for Independent Groups -- Correlation and Simple Linear Regression -- Multiple Correlation and Multiple Regression -- One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table. |
ISBN: | 9783319289649 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Application software , Mathematical physics , Statistics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Mathematical Applications in the Physical Sciences , Computer Appl. in Social and Behavioral Sciences |
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Call number: | SPRINGER-2016-9783319287096:ONLINE Show nearby items on shelf |
Title: | Data Mining with SPSS Modeler Theory, Exercises and Solutions |
Author(s): |
Tilo Wendler |
Date: | 2016 |
Size: | 1 online resource (1277 p.) |
Note: | 10.1007/978-3-319-28709-6 |
Contents: | Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book |
ISBN: | 9783319287096 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Data mining , Computer software , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Data Mining and Knowledge Discovery , Mathematical Software |
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Call number: | SPRINGER-2016-9783319285993:ONLINE Show nearby items on shelf |
Title: | Multivariate Time Series With Linear State Space Structure |
Author(s): |
Víctor Gómez |
Date: | 2016 |
Size: | 1 online resource (541 p.) |
Note: | 10.1007/978-3-319-28599-3 |
Contents: | Preface -- Computer Software -- Orthogonal Projection -- Linear Models -- Stationarity and Linear Time Series Models -- The State Space Model -- Time Invariant State Space Models -- Time Invariant State Space Models With Inputs -- Wiener–Kolmogor ov Filtering and Smoothing -- SSMMATLAB -- Bibliography -- Author Index -- Subject Index |
ISBN: | 9783319285993 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Keywords: | Statistics , Probabilities , Econometrics , Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Econometrics , Statistics for Business/Economics/Mathematical Finance/Insurance |
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Call number: | SPRINGER-2016-9783319263090:ONLINE Show nearby items on shelf |
Title: | Boundary Integral Equation Methods and Numerical Solutions Thin Plates on an Elastic Foundation |
Author(s): |
Christian Constanda |
Date: | 2016 |
Edition: | 1st ed. 2016 |
Size: | 1 online resource (196 p.) |
Note: | 10.1007/978-3-319-26309-0 |
Contents: | Preface -- 1. The Mathematical Model -- 2. The Layer Potentials -- 3. Existence of Solutions -- 4. Software Development -- 5. Computational Examples -- References -- Index |
ISBN: | 9783319263090 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Developments in Mathematics: 35 |
Keywords: | Mathematics , Functions of complex variables , Integral equations , Partial differential equations , Mathematics , Integral Equations , Partial Differential Equations , Functions of a Complex Variable |
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Call number: | SPRINGER-2016-9783319188270:ONLINE Show nearby items on shelf |
Title: | Domain Decomposition Methods in Science and Engineering XXII |
Author(s): | |
Date: | 2016 |
Edition: | 1st ed. 2016 |
Size: | 1 online resource (647 p.) |
Note: | 10.1007/978-3-319-18827-0 |
Contents: | Preface -- Part I: Plenary Presentations -- Part II: Minisymposia -- Part III: Contributed Presentations |
ISBN: | 9783319188270 |
Series: | eBooks |
Series: | SpringerLink (Online service) |
Series: | Springer eBooks |
Series: | Lecture Notes in Computational Science and Engineering: 104 |
Keywords: | Mathematics , Computer simulation , Computer mathematics , Computer software , Physics , Applied mathematics , Engineering mathematics , Mathematics , Computational Science and Engineering , Mathematical Software , Simulation and Modeling , Numerical and Computational Physics , Appl.Mathematics/Computational Methods of Engineering |
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Call number: | SPRINGER-2014-9789401786225:ONLINE Show nearby items on shelf |
Title: | Computational Experiment Approach to Advanced Secondary Mathematics Curriculum [electronic resource] |
Author(s): |
Sergei Abramovich |
Date: | 2014 |
Publisher: | Dordrecht : Springer Netherlands : Imprint: Springer |
Size: | 1 online resource |
Note: | This book promotes the experimental mathematics approach in the context of secondary mathematics curriculum by exploring mathematical models depending on parameters that were typically considered advanced in the pre-digitaleducation era. This approac h, by drawing on the power of computers to perform numerical computations and graphical constructions, stimulates formal learning of mathematics through making sense of a computational experiment. It allowsone (in the spirit of Freudenthal) to bridge seri ous mathematical content and contemporary teaching practice. In other words, the notion of teaching experiment can be extended to include a true mathematical experiment. When usedappropriately, the approach creates conditions for collateral learning (in t he spirit of Dewey) to occur including the development of skills important for engineering applications of mathematics. In the context of a mathematics teachereducation program, this book addresses a call for the preparation of teachers capable of utilizi ng modern technology tools for the modeling-based teaching of mathematics with a focus on methods conducive to the improvement of the wholeSTEM education at the secondary level. By the same token, using the books pedagogy and its mathematical content in a pre-college classroom can assist teachers in introducing students to the ideas that develop the foundation ofengineering profession |
Contents: | Preface |
1. Theoretical foundations of computational experiment approach to secondary mathematics | |
2. One | |
variable equations and inequalities: the unity of computational experiment and formal demonstration | |
3. Computationally supported study of quadratic functions depending on parameters | |
4. Computational experiment approach to equations with parameters | |
5. Inequalities with parameters as generators of new meanings | |
6. Computational experiments in trigonometry | |
7. Advancing stem education through temp: Geometric probabilities | |
8. Exploring topics in elementary number theory thr | |
ISBN: | 9789401786225 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Mathematics Education in the Digital Era, 2211-8136 : v3 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Education , Computer science Mathematics , Computer software , Mathematics |
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Call number: | SPRINGER-2014-9784431545651:ONLINE Show nearby items on shelf |
Title: | Software Reliability Modeling [electronic resource] : Fundamentals and Applications |
Author(s): |
Shigeru Yamada |
Date: | 2014 |
Publisher: | Tokyo : Springer Japan : Imprint: Springer |
Size: | 1 online resource |
Note: | Software reliability is one of the most important characteristics of software product quality. Its measurement and management technologies during the software product life cycle are essential to produce and maintainquality/reliable software systems. Part 1 of this book introduces several aspects of software reliability modeling and its applications. Hazard rate and nonhomogeneous Poisson process (NHPP) models are investigated particularly forquantitative software reliability assessment. Further, impe rfect debugging and software availability models are discussed with reference to incorporating practical factors of dynamic software behavior. Three software managementproblems are presented as application technologies of software reliability models: the optimal software release problem, the statistical testing-progress control, and the optimal testing-effort allocation problem. Part 2 of the bookdescribes several recent developments in software reliability modeling and their applications as quantitative techniques for software quality/reliability measurement and assessment. The discussion includes a quality engineeringanalysis of human factors affecting software reliability during the design review phase, which is the upper stream of software development , as well as software reliability growth models based on stochastic differential equations anddiscrete calculus during the testing phase, which is the lower stream. The final part of the book provides an illustration of quality-oriented software managemen t analysis by applying the multivariate analysis method and the existingsoftware reliability growth models to actual process monitoring data |
Contents: | Chapter1 Introduction to Software Reliability Modeling and Its Applications |
1. Introduction | |
2. Definitions and Software Reliability Model | |
3. Software Reliability Growth Modeling | |
4. Imperfect Debugging Modeling | |
4.1 Imperfect debugging model with perfect correction rate | |
4.2 Imperfect debugging model with introduced faults | |
5. Software Availability Modeling | |
5.1 Model description | |
5.2 Software availability measures | |
6. Application of Software Reliability Assessment | |
6.1 Optimal software release problem | |
6.2 Statistical software testing | |
progress control | |
6.3 Optim | |
ISBN: | 9784431545651 |
Series: | eBooks |
Series: | SpringerLink |
Series: | SpringerBriefs in Statistics, 2191-544X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Software engineering , Mathematical statistics |
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Call number: | SPRINGER-2014-9784431543213:ONLINE Show nearby items on shelf |
Title: | Learning Regression Analysis by Simulation [electronic resource] |
Author(s): |
Kunio Takezawa |
Date: | 2014 |
Publisher: | Tokyo : Springer Japan : Imprint: Springer |
Size: | 1 online resource |
Note: | The standard approach of most introductory books for practical statistics is that readers first learn the minimum mathematical basics of statistics and rudimentary concepts of statistical methodology. They then are given examplesof analyses of data o btained from natural and social phenomena so that they can grasp practical definitions of statistical methods. Finally they go on to acquaint themselves with statistical software for the PC and analyze similar datato expand and deepen their understanding of statistical methods. This book, however, takes a slightly different approach, using simulation data instead of actual data to illustrate the functions of statistical methods. Also, Rprograms listed in the book help readers realize clearly how these met hods work to bring intrinsic values of data to the surface. R is free software enabling users to handle vectors, matrices, data frames, and so on. For example,when a statistical theory indicates that an event happens with a 5 % probability, readers can co nfirm the fact using R programs that this event actually occurs with roughly that probability, by handling data generated bypseudo-random numbers. Simulation gives readers populations with known backgrounds and the nature of the population can be adjusted easily. This feature of the simulation data helps provide a clear picture of statistical methodspainlessly. Most readers of introductory books of statistics for practical purposes do not like complex mathematical formulae, but they do not mind using a PC to produce various numbers and graphs by handling a huge variety of numbers.If they know the characteristics of these numbers beforehand, they treat them with ease. Struggling with actual data should come later. Conventional books on this topic frighten readers by presenting unidentified data to themindiscriminately. This book provides a new path to statistical concepts and practical skills in a readily accessible manner |
ISBN: | 9784431543213 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2014-9783764385040:ONLINE Show nearby items on shelf |
Title: | Kripkes Worlds [electronic resource] : An Introduction to Modal Logics via Tableaux |
Author(s): |
Olivier Gasquet Andreas Herzig Bilal Said Franois Schwarzentruber |
Date: | 2014 |
Publisher: | Basel : Springer Basel : Imprint: Birkhuser |
Size: | 1 online resource |
Note: | Possible worlds models were introduced by Saul Kripke in the early 1960s. Basically, a possible worlds model is nothing but a graph with labelled nodes and labelled edges. Such graphs provide semantics for various modal logics(alethic, temporal, epis temic and doxastic, dynamic, deontic, description logics) and also turned out useful for other nonclassical logics (intuitionistic, conditional, several paraconsistent and relevant logics). All these logics havebeen studied intensively in philosophical an d mathematical logic and in computer science, and have been applied increasingly in domains such as program semantics, artificial intelligence, and more recently in the semantic web.Additionally, all these logics were also studied proof theoretically. The proof systems for modal logics come in various styles: Hilbert style, natural deduction, sequents, and resolution. However, it is fair to say that the mostuniform and most successful such systems are tableaux systems. Given a logic and a formula, they al low one to check whether there is a model in that logic. This basically amounts to trying to build a model for the formula by building atree. This book follows a more general approach by trying to build a graph, the advantage being that a graph is closer to a Kripke model than a tree. It provides a step-by-step introduction to possible worlds semantics (and by that tomodal and other nonclassical logics) via the tableaux method. It is accompanied by a piece of software called LoTREC (www.irit.fr/Lotrec). L oTREC allows to check whether a given formula is true at a given world of a given model and tocheck whether a given formula is satisfiable in a given logic. The latter can be done immediately if the tableau system for that logic has already been implement ed in LoTREC. If this is not yet the case LoTREC offers the possibility toimplement a tableau system in a relatively easy way via a simple, graph-based, interactive language. >dy> |
Contents: | Preface |
1 Modelling things with graphs | |
2 Talking about graphs | |
3 The basics of the model construction method | |
4 Logics with simple constraints on models | |
5 Logics with transitive accessibility relations | |
6 Model Checking | |
7 Modal logics with transitive closure | |
Bibliography | |
Index | |
ISBN: | 9783764385040 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Studies in Universal Logic |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Logic, Symbolic and mathematical |
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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-2014-9783319055367:ONLINE Show nearby items on shelf |
Title: | Person-Centered Methods [electronic resource] : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables |
Author(s): |
Mark Stemmler |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, theperson-centered approach a nalyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. The main focus of the book will be on Configural Frequency Analysis (CFA Lienert andKrauth, 1975) which is a statistical method that loo ks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequentedmeans that this cell or configuration is observed less often than expected . In CFA a pattern or configuration that contains more observed cases than expected is called a type similarly, a pattern or configuration that is less observedthan expected are called an antitype. CFA is similar to log-linear modeling. In log-linear mode ling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significantresiduals of a log-linear model. The book describes the use of an R-package called confreq (derived from Configural Frequency Analysis). The use of the software package is described and demonstrated with data examples |
Contents: | Introducing Person |
Centered Methods | |
CFA Software | |
Significance Testing in CFA | |
CFA and Log | |
Linear Modeling | |
Longitudinal CFA | |
Other Person | |
Centered Methods Serving as Complimentary Tools to CFA | |
CFA and its derivatives | |
Glossary | |
Index | |
ISBN: | 9783319055367 |
Series: | eBooks |
Series: | SpringerLink |
Series: | SpringerBriefs in Statistics, 2191-544X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2014-9783319043258:ONLINE Show nearby items on shelf |
Title: | Scientific Computing - An Introduction using Maple and MATLAB [electronic resource] |
Author(s): |
Walter Gander Martin J Gander Felix Kwok |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical andsymbolic/algebraic computations and vi sualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of manyscientific codes we explain both the theory behind these algori thms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple Maple isoften used to derive numerical algorithms, whereas Matlab is used to implement them. The t heory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples andproblems to help readers understand the material hands-on |
Contents: | Why Study Scientific Computing? |
Finite Precision Arithmetic | |
Linear Systems of Equations | |
Interpolation | |
Nonlinear Equations | |
Least Squares Problems | |
Eigenvalue Problems | |
Differentiation | |
Quadrature | |
Numerical Ordinary Differential Equations | |
Iterative Methods for Linear Systems | |
Optimization | |
Bibliography | |
Index | |
ISBN: | 9783319043258 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Texts in Computational Science and Engineering, 1611-0994 : v11 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science Mathematics , Algorithms , Computer science , Computer software , Numerical analysis |
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Call number: | SPRINGER-2014-9783319029498:ONLINE Show nearby items on shelf |
Title: | Mathematical Models and Numerical Simulation in Electromagnetism [electronic resource] |
Author(s): |
Alfredo Bermdez Dolores Gmez Pilar Salgado |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | The book represents a basic support for a master course in electromagnetism oriented to numerical simulation. The main goal of the book is that the reader knows the boundary-value problems of partial differential equations thatshould be solved in ord er to perform computer simulation of electromagnetic processes. Moreover it includes a part devoted to electric circuit theory based on ordinary differential equations. The book is mainly oriented to electricengineering applications, going from the genera l to the specific, namely, from the full Maxwells equations to the particular cases of electrostatics, direct current, magnetostatics and eddy currents models. Apart from standardexercises related to analytical calculus, the book includes some others orie nted to real-life applications solved with MaxFEM free simulation software |
Contents: | 1 The harmonic oscillator |
2 The Series RLC Circuit | |
3 Linear electrical circuits | |
4 Maxwells equations in free space | |
5 Some solutions of Maxwells equations in free space | |
6 Maxwells equations in material regions | |
7 Electrostatics | |
8 Direct current | |
9 Magnetostatics | |
10 The eddy currents model | |
11 An introduction to nonlinear magnetics. Hysteresis | |
12 Electrostatics with MaxFEM | |
13 Direct current with MaxFEM | |
14 Magnetostatics with MaxFEM | |
15 Eddy currents with MaxFEM | |
16 RLC circuits with MaxFEM | |
A Elements of graph theory | |
B Vector Calculus | |
C Fu | |
ISBN: | 9783319029498 |
Series: | eBooks |
Series: | SpringerLink |
Series: | UNITEXT, 2038-5714 : v74 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science Mathematics , Magnetism , Computer engineering |
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Call number: | SPRINGER-2014-9783319025322:ONLINE Show nearby items on shelf |
Title: | Introduction to Data Analysis and Graphical Presentation in Biostatistics with R [electronic resource] : Statistics in the Large |
Author(s): |
Thomas W MacFarland |
Date: | 2014 |
Publisher: | Cham : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressingscientific issue for those eng aged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure theaccessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples,t-Test for matched pairs, ANOVA, correlation and linear regression, and a dvice for future work |
Contents: | Introduction to Biostatistics and R |
Data exploration, descriptive statistics and measures of central tendency | |
Student's t | |
Test for independent samples | |
Student's t | |
Test for matched pairs | |
One way ANOVA | |
Two way ANOVA | |
Correlation and linear regression | |
Future Actions and Next Steps | |
ISBN: | 9783319025322 |
Series: | eBooks |
Series: | SpringerLink |
Series: | SpringerBriefs in Statistics, 2191-544X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2014-9781493908080:ONLINE Show nearby items on shelf |
Title: | Optimization in Science and Engineering [electronic resource] : In Honor of the 60th Birthday of Panos M. Pardalos |
Author(s): |
Themistocles M Rassias Christodoulos A Floudas Sergiy Butenko |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Optimization in Science and Engineering is dedicated in honor of the 60th birthday of Distinguished Professor Panos M. Pardalos. Pardaloss past and ongoing work has made a significant impact on several theoretical and appliedareas in modern optimizat ion. As tribute to the diversity of Dr. Pardaloss work in Optimization, this book comprises a collection of contributions from experts in various fields of this rich and diverse area of science. Topicshighlight recent developments and include: Determinist ic global optimization Variational inequalities and equilibrium problems Approximation and complexity in numerical optimization Non-smooth optimization Statistical models and datamining Applications of optimization in medicine, energy systems, and complex network analysis This volume will be of great interest to graduate students, researchers, and practitioners, in the fields of optimization and engineering |
Contents: | Piecewise Linear Classifiers Based on Nonsmooth Optimization Approaches |
Variational Inequality Models Arising in the Study of Viscoelastic Materials | |
Neighboring Local Optimal Solutions and Its Applications | |
General Traffic Equilibrium Problem with Uncertainty and Random Variational Inequalities | |
Computational Complexities of Optimization Problems Related to Model Based Clustering of Networks | |
On Distributed | |
Lag Modeling Algorithms by r | |
Convexity and Piecewise Monotonicity | |
Poincar | |
Type Inequalities for Greens Operator on Harmonic Forms | |
The Robustness Concern in Preference | |
ISBN: | 9781493908080 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Software engineering , Computer science , Computer aided design , Mathematical optimization |
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Call number: | SPRINGER-2014-9781493906826:ONLINE Show nearby items on shelf |
Title: | k-Schur Functions and Affine Schubert Calculus [electronic resource] |
Author(s): |
Thomas Lam Luc Lapointe Jennifer Morse Anne Schilling Mark Shimozono Mike Zabrocki |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | This book gives an introduction to the very active field of combinatorics of affine Schubert calculus, explains the current state of the art, and states the current open problems. Affine Schubert calculus lies at the crossroads ofcombinatorics, geome try, and representation theory. Its modern development is motivated by two seemingly unrelated directions. One is the introduction of k-Schur functions in the study of Macdonald polynomial positivity, a mostlycombinatorial branch of symmetric function the ory. The other direction is the study of the Schubert bases of the (co)homology of the affine Grassmannian, an algebro-topological formulation of a problem in enumerative geometry. This isthe first introductory text on this subject. It contains many examp les in Sage, a free open source general purpose mathematical software system, to entice the reader to investigate the open problems. This book is written for advancedundergraduate and graduate students, as well as researchers, who want to become familiar with this fascinating new field |
Contents: | 1. Introduction |
2. Primer on k | |
Schur Functions | |
3. Stanley symmetric functions and Peterson algebras | |
4. Affine Schubert calculus | |
ISBN: | 9781493906826 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Fields Institute Monographs, 1069-5273 : v33 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Geometry, algebraic , Combinatorics , Algebraic topology |
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Call number: | SPRINGER-2014-9781461495420:ONLINE Show nearby items on shelf |
Title: | Functional and Phylogenetic Ecology in R [electronic resource] |
Author(s): |
Nathan G Swenson |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Functional and PhylogeneticEcology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporatephylogenetic and functional informa tion into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-stepentryway into phylogenetic and functional analyses for eco logy in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the Renvironment and handling relevant data in R. Chapters then cover phylogenetic and functio nal metrics of biodiversity null modeling and randomizations for phylogenetic and functional trait analyses integrating phylogenetic andfunctional trait information and interfacing the R environment with a popular C-based program. This book presents a uni que approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides hisown code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the w ork of determining which package to use for any given analysis. Example datasets are sharedto help readers practice, and readers can then quickly turn to their own datasets |
Contents: | Preface |
Introduction | |
Phylogenetic Data in R | |
Phylogenetic Diversity | |
Functional Diversity | |
Phylogenetic & Functional Beta Diversity | |
Null Models | |
Comparative Methods & Phylogenetic Signal | |
Partitioning the Phylogenetic, Functional, Environmental and Spatial Components of Community Diversity | |
Integrating R with Other Phylogenetic and Functional Trait Analytical Software | |
References | |
Index | |
ISBN: | 9781461495420 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Use R!, 2197-5736 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Ecology , Evolution (Biology) , Mathematical statistics |
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Call number: | SPRINGER-2014-9781461482239:ONLINE Show nearby items on shelf |
Title: | Multi-indicator Systems and Modelling in Partial Order [electronic resource] |
Author(s): |
Rainer Brggemann Lars Carlsen Jochen Wittmann |
Date: | 2014 |
Publisher: | New York, NY : Springer New York : Imprint: Springer |
Size: | 1 online resource |
Note: | Multi-indicator Systems and Modelling in Partial Order contains the newest theoretical concepts as well as new applications, and applications where standard multivariate statistics fail. Some of the presentations have theircounterpart in the book how ever, there are many contributions, which are completely new in the field of applied partial order |
Contents: | Part A: Theory |
Evaluation as a general approach to problem driven mathematical modeling | |
Multivariate Data Sets for Inference of Order: Some Considerations and Explorations | |
Measures of Incomparability and of Inequality and their Applications | |
Measuring structural dissimilarity between finite partial orders | |
Measuring complexity of partially ordered sets | |
Part B: Partial Order as Tool to Analyse Composite Indicators | |
Comparative Knowledge Discovery with Partial Order and Composite Indicator | |
A software platform Towards a Comparison of Cars | |
A case study for Handling Ratio | |
Bas | |
ISBN: | 9781461482239 |
Series: | eBooks |
Series: | SpringerLink |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Environmental management , Environmental sciences |
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Call number: | SPRINGER-2013-9788847028715:ONLINE Show nearby items on shelf |
Title: | Complex Models and Computational Methods in Statistics [electronic resource] |
Author(s): |
Matteo Grigoletto Francesco Lisi Sonia Petrone |
Date: | 2013 |
Publisher: | Milano : Springer Milan : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The use of computational methods in statistics to face complex problems and highly dimensional data, as well as the widespread availability of computer technology, is no news. The range of applications, instead, is unprecedented.As often occurs, new and complex data types require new strategies, demanding for the development of novel statistical methods and suggesting stimulating mathematical problems. This book is addressed to researchers working at theforefront of the statistical analysis of comple x systems and using computationally intensive statistical methods |
Note: | Springer eBooks |
Contents: | A new unsupervised classification technique through nonlinear non parametric mixed effects models |
Estimation approaches for the apparent diffusion coefficient in Rice | |
distributed MR signals | |
Longitudinal patterns of financial product ownership: a latent growth mixture approach | |
Computationally efficient inference procedures for vast dimensional realized covariance models | |
A GPU software library for likelihood | |
based inference of environmental models with large datasets | |
Theoretical Regression Trees: a tool for multiple structural | |
change models analysis | |
Some contributions to the th | |
ISBN: | 9788847028715 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Contributions to Statistics, 1431-1968 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Statistical methods , Mathematical statistics , Economics |
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Call number: | SPRINGER-2013-9783642368097:ONLINE Show nearby items on shelf |
Title: | Analyzing Compositional Data with R [electronic resource] |
Author(s): |
K. Gerald van den Boogaart Raimon Tolosana-Delgado |
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 presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptiveexploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization and model display issues. Many illustrated examples andcode chunks guide the reader into their modeling and interpretation. And, though the book primarily serves as a reference guide for the R package compositions, it is also a general introductory text on Compositional DataAnalysis. Awareness of their special characteristics spread in the Geosciences in the e arly sixties, but a strategy for properly dealing with them was not available until the works of Aitchison in the eighties. Since then, research hasexpanded our understanding of their theoretical principles and the potentials and limitations of their inte rpretation. This is the first comprehensive textbook addressing these issues, as well as their practical implications withregard to software. The book is intended for scientists interested in statistically analyzing their compositional data. The subject e njoys relatively broad awareness in the geosciences and environmental sciences, but the spectrum ofrecent applications also covers areas like medicine, official statistics, and economics. Readers should be familiar with basic univariate and multivariate s tatistics. Knowledge of R is recommended but not required, as the book isself-contained |
Note: | Springer eBooks |
Contents: | Introduction |
Fundamental Concepts of Compositional Data Analysis | |
Distributions for Random Compositions | |
Descriptive Analysis of Compositional Data | |
Linear Models for Compositions | |
Multivariate Statistics | |
Zeroes, Missings and Outliers | |
References | |
Index. | |
ISBN: | 9783642368097 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Use R! |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Geochemistry , Mathematical statistics |
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Call number: | SPRINGER-2013-9783642351587:ONLINE Show nearby items on shelf |
Title: | Computational Flexible Multibody Dynamics [electronic resource] : A Differential-Algebraic Approach |
Author(s): |
Bernd Simeon |
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 monograph, written from a numerical analysis perspective, aims to provide a comprehensive treatment of both the mathematical framework and the numerical methods for flexible multibody dynamics. Not only is this fieldpermanently and rapidly growi ng, with various applications in aerospace engineering, biomechanics, robotics, and vehicle analysis, its foundations can also be built on reasonably established mathematical models. Regarding actualcomputations, great strides have been made over the last two decades, as sophisticated software packages are now capable of simulating highly complex structures with rigid and deformable components. The approach used in this bookshould benefit graduate students and scientists working in computational mechanics and related disciplines as well as those interested in time-dependent partial differential equations and heterogeneous problems with multiple timescales. Additionally, a number of open issues at the frontiers of research are addressed by taking a differe ntial-algebraic approach and extending it to the notion of transient saddle point problems |
Note: | Springer eBooks |
Contents: | A Point of Departure |
Rigid Multibody Dynamics | |
Elastic Motion | |
Flexible Multibody Dynamics | |
Spatial Discretization | |
Stiff Mechanical Systems | |
Time Integration Methods | |
Numerical Case Studies | |
ISBN: | 9783642351587 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Differential-Algebraic Equations Forum |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential Equations , Differential equations, partial , Numerical analysis , Mechanics |
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Call number: | SPRINGER-2013-9783642343339:ONLINE Show nearby items on shelf |
Title: | Regression [electronic resource] : Models, Methods and Applications |
Author(s): |
Ludwig Fahrmeir Thomas Kneib Stefan Lang Brian Marx |
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: | The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presentedon a solid formal bas is, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, thebook primarily targets an audience that i ncludes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists withinterests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements areconcisely summarized in boxes. Two appendices describe required matrix algebra, as well as e lements of probability calculus and statistical inference |
Note: | Springer eBooks |
Contents: | Introduction |
Regression Models | |
The Classical Linear Model | |
Extensions of the Classical Linear Model | |
Generalized Linear Models | |
Categorical Regression Models | |
Mixed Models | |
Nonparametric Regression | |
Structured Additive Regression | |
Quantile Regression | |
A Matrix Algebra | |
B Probability Calculus and Statistical Inference | |
Bibliography | |
Index | |
ISBN: | 9783642343339 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Epidemiology , Bioinformatics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics |
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Call number: | SPRINGER-2013-9783642317941:ONLINE Show nearby items on shelf |
Title: | Foundations of Geometric Algebra Computing [electronic resource] |
Author(s): |
Dietmar Hildenbrand |
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: | The author defines Geometric Algebra Computing as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay thefoundations for the widespread use of geometric algebra as a powerful, intuitive mathematical language for engineering applications in academia and industry. The related technology is driven by the invention of conformal geometricalgebra as a 5D extension of the 4D projective geometric alg ebra and by the recent progress in parallel processing, and with the specific conformal geometric algebra there is a growing community in recent years applying geometricalgebra to applications in computer vision, computer graphics, and robotics. This book is organized into three parts: in Part I the author focuses on the mathematical foundations in Part II he explains the interactive handling ofgeometric algebra and in Part III he deals with computing technology for high-performance implementations based on geometric algebra as a domain-specific language in standard programming languages such as C++ and OpenCL. The book iswritten in a tutorial style and readers should gain experience with the associated freely available software packages and applications. The book is suitable for students, engineers, and researchers in computer science, computationalengineering, and mathematics |
Note: | Springer eBooks |
Contents: | Chap. 1 Introduction |
Chap. 2 Mathematical Introduction | |
Chap. 3 The Conformal Geometric Algebra | |
Chap. 4 Maple and the Identification of Quaternions and Other Algebras | |
Chap. 5 Fitting of Planes or Spheres into Point Sets | |
Chap. 6 Geometric Algebra Tutorial Using CLUCalc | |
Chap. 7 Inverse Kinematics of a Simple Robot | |
Chap. 8 Robot Grasping an Object | |
Chap. 9 Efficient Computer Animation Application in CGA | |
Chap. 10 Using Gaalop for Performant Geometric Algebra Computing | |
Chap. 11 Collision Detection Using the Gaalop Precompiler | |
Chap. 12 Gaalop Precompiler for GPGPUs | |
ISBN: | 9783642317941 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Geometry and Computing, 1866-6795 : v8 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Computer science , Computer vision , Geometry , Engineering mathematics |
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Call number: | SPRINGER-2013-9783319009667:ONLINE Show nearby items on shelf |
Title: | Mathematics, Computer Science and Logic - A Never Ending Story [electronic resource] : The Bruno Buchberger Festschrift |
Author(s): |
Peter Paule |
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 book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics. While connected to the historical evolution of theseconcepts, the essays pla ce strong emphasis on developments still to come. The book originated in a 2002 symposium celebrating the work of Bruno Buchberger, Professor of Computer Mathematics at Johannes Kepler University, Linz, Austria,on the occasion of his 60th birthday. Among many other accomplishments, Professor Buchberger in 1985 was the founding editor of the Journal of Symbolic Computation the founder of the Research Institute for Symbolic Computation (RISC)and its chairman from 1987-2000 the founder in 1990 of the Softwar epark Hagenberg, Austria, and since then its director. More than a decade in the making, Mathematics, Computer Science and Logic - A Never Ending Story includes essaysby leading authorities, on such topics as mathematical foundations from the perspective of computer verification a symbolic-computational philosophy and methodology for mathematics the role of logic and algebra in softwareengineering and new directions in the foundations of mathematics. These inspiring essays invite general, mathematically i nterested readers to share state-of-the-art ideas which advance the never ending story of mathematics, computerscience and logic. Mathematics, Computer Science and Logic - A Never Ending Story is edited by Professor Peter Paule, Bruno Buchbergers successo r as director of the Research Institute for Symbolic Computation |
Note: | Springer eBooks |
Contents: | Preface |
Henk Barendregt: Foundations of Mathematics from the Perspective of Computer Verification | |
Manfred Broy: On the Role of Logic and Algebra in Software Engineering | |
Stephen Wolfram: New Directions in the Foundations of Mathematics (2002) | |
Doron Zeilberger: Towards a Symbolic Computational Philosophy (and Methodology!) for Mathematics | |
ISBN: | 9783319009667 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Software engineering , Information theory , Algorithms , Computer software , Logic, Symbolic and mathematical |
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Call number: | SPRINGER-2013-9783319002095:ONLINE Show nearby items on shelf |
Title: | Conversations About Challenges in Computing [electronic resource] |
Author(s): |
Are Magnus Bruaset Aslak Tveito |
Date: | 2013 |
Publisher: | Heidelberg : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This text sheds light on how mathematical models and computing can help understanding and prediction of complicated physical processes how communication networks should be designed and implemented to meet the increasinglychallenging requirements from users and how modern engineering principles can lead to better and more robust software systems. Through interviews with 12 internationally recognized researchers within these fields, conducted by thewell-known science writer Dana Mackenzie and the scie nce journalist Kathrine Aspaas, the reader gets views on recent achievements and future challenges. |
Note: | Springer eBooks |
Contents: | Part I: Communications Systems: 1 The Nature of the Beast: An interview with Olav Lysne |
2 Igniting the New Internet: An interview with Keith Marzullo | |
3 The Internet of Things: An interview with Heinrich Stttgen | |
Part II: Computational Science: 4 The Mathematics of the Mind: An interview with Hans Petter Langtangen | |
5 Solving Puzzle Earth by Adaptive Mesh Refinement: An interview with Carsten Burstedde | |
6 Computational Inverse Problems Can Drive a Big Data Revolution: An interview with Omar Ghattas | |
7 Towards the Google Heart: An interview with Natalia Trayanova | |
8 As Si | |
ISBN: | 9783319002095 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer network architectures , Computer science , Differential equations, partial , Physiology Mathematics |
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Call number: | SPRINGER-2013-9783319001197:ONLINE Show nearby items on shelf |
Title: | Logical Foundations of Mathematics and Computational Complexity [electronic resource] : A Gentle Introduction |
Author(s): |
Pavel Pudlk |
Date: | 2013 |
Publisher: | Heidelberg : Springer International Publishing : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | The two main themes of this book, logic and complexity, are both essential for understanding the main problems about the foundations of mathematics. Logical Foundations of Mathematics and Computational Complexity covers a broadspectrum of results in logic and set theory that are relevant to the foundations, as well as the results in computational complexity and the interdisciplinary area of proof complexity. The author presents his ideas on how these areasare connected, what are the most fundamental problems and how they should be approached. In particular, he argues that complexity is as important for foundations as are the more traditional concepts of computability and provability.Emphasis is on explaining the essence of concepts and the ideas of p roofs, rather than presenting precise formal statements and full proofs. Each section starts with concepts and results easily explained, and gradually proceeds to moredifficult ones. The notes after each section present some formal definitions, theorems a nd proofs. Logical Foundations of Mathematics and Computational Complexity is aimed at graduate students of all fields of mathematics who areinterested in logic, complexity and foundations. It will also be of interest for both physicists and philosophers who are curious to learn the basics of logic and complexity theory |
Note: | Springer eBooks |
Contents: | Mathematicians world |
Language, logic and computations | |
Set theory | |
Proofs of impossibility | |
The complexity of computations | |
Proof complexity | |
Consistency, Truth and Existence | |
References. | |
ISBN: | 9783319001197 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Monographs in Mathematics, 1439-7382 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer software , Logic, Symbolic and mathematical |
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Call number: | SPRINGER-2013-9783034805193:ONLINE Show nearby items on shelf |
Title: | Introduction to Quantitative Methods for Financial Markets [electronic resource] |
Author(s): |
Hansjoerg Albrecher Andreas Binder Volkmar Lautscham Philipp Mayer |
Date: | 2013 |
Publisher: | Basel : Springer Basel : Imprint: Birkhuser |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Swaps, futures, options, structured instruments - a wide range of derivative products is traded in today's financial markets. Analyzing, pricing and managing such products often requires fairly sophisticated quantitative toolsand methods. This book s erves as an introduction to financial mathematics with special emphasis on aspects relevant in practice. In addition to numerous illustrative examples, algorithmic implementations are demonstrated usingMathematica and the software package UnRisk (availabl e for both students and teachers). The content is organized in 15 chapters that can be treated as independent modules. In particular, the exposition is tailored for classroomuse in a Bachelor or Master program course, as well as for practitioners who wish to further strengthen their quantitative background |
Note: | Springer eBooks |
Contents: | I Interest Rates |
II Financial Products | |
III The No | |
Arbitrage Principle | |
IV European and American Options | |
The Binomial Option Pricing Model | |
VI The Black | |
Scholes Model | |
VII The Black | |
Scholes Formula | |
VIII Stock | |
Price Models | |
IX Interest Rate Models and the Valuation of Interest Rate Derivatives | |
X Numerical Tools | |
XI Simulation Methods | |
XII Calibrating Models Inverse Problems | |
XIII Case Studies: Exotic Derivatives | |
XIV Portfolio | |
Optimization | |
XV Introduction to Credit Risk Models | |
ISBN: | 9783034805193 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Compact Textbooks in Mathematics, 2296-4568 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Finance , Economics, Mathematical |
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Call number: | SPRINGER-2013-9783034802376:ONLINE Show nearby items on shelf |
Title: | The Tower of Hanoi Myths and Maths [electronic resource] |
Author(s): |
Andreas M Hinz Sandi Klavar Uro Milutinovi Ciril Petr |
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 is the first comprehensive monograph on the mathematical theory of the solitaire game The Tower of Hanoi which was invented in the 19th century by the French number theorist douard Lucas. The book comprises a surveyof the historical development from the games predecessors up to recent research in mathematics and applications in computer science and psychology. Apart from long-standing myths it contains a thorough, largely self-containedpresentation of the essential mathematical facts with comple te proofs, including also unpublished material. The main objects of research today are the so-called Hanoi graphs and the related Sierpiski graphs. Acknowledging the greatpopularity of the topic in computer science, algorithms and their correctness proofs form an essential part of the book. In view of the most important practical applications of the Tower of Hanoi and its variants, namely in physics,network theory, and cognitive (neuro)psychology, other related structures and puzzles like, e.g., the Tower of London, are addressed. Numerous captivating integer sequences arise along the way, but also many open questions imposethemselves. Central among these is the famed Frame-Stewart conjecture. Despite many attempts to decide it and large-scale numerical e xperiments supporting its truth, it remains unsettled after more than 70 years and thus demonstratesthe timeliness of the topic. Enriched with elaborate illustrations, connections to other puzzles and challenges for the reader in the form of (solved) exer cises as well as problems for further exploration, this book is enjoyablereading for students, educators, game enthusiasts and researchers alike |
Note: | Springer eBooks |
Contents: | Foreword by Ian Stewart |
Preface | |
0 The Beginning of the World | |
1 The Chinese Rings | |
2 The Classical Tower of Hanoi | |
3 Lucass Second Problem | |
4 Sierpinski Graphs | |
5 The Tower of Hanoi with More Pegs | |
6 Variations of the Puzzle | |
7 The Tower of London | |
8 Tower of Hanoi Variants with Oriented Disc Moves | |
9 The End of the World | |
A Hints and Solutions to Exercises | |
Glossary | |
Bibliography | |
Name Index | |
Subject Index | |
Symbol Index | |
ISBN: | 9783034802376 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer software , Sequences (Mathematics) , Combinatorics |
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Call number: | SPRINGER-2013-9781461480242:ONLINE Show nearby items on shelf |
Title: | Lie Groups [electronic resource] |
Author(s): |
Daniel Bump |
Date: | 2013 |
Edition: | 2nd ed. 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: | This book is intended for a one-year graduate course on Lie groups and Lie algebras. The book goes beyond the representation theory of compact Lie groups, which is the basis of many texts, and provides a carefully chosen range ofmaterial to give the student the bigger picture. The book is organized to allow different paths through the material depending on one's interests.This second edition has substantial new material, including improved discussions ofunderlying principles, streamlining of some pro ofs, and many results and topics that were not in the first edition. For compact Lie groups, the book covers the PeterWeyl theorem, Lie algebra, conjugacy of maximal tori, the Weylgroup, roots and weights, Weyl character formula, the fundamental group and more. The book continues with the study of complex analytic groups and general noncompact Lie groups, covering the Bruhat decomposition, Coxeter groups, flagvarieties, symmetric spaces, Satake diagrams, embeddings of Lie groups and spin. Other topics tha t are treated are symmetric function theory, the representation theory of the symmetric group, FrobeniusSchur duality andGL(n)GL(m) duality with many applications including some in random matrix theory, branching rules, Toeplitz determinants, combinatoric s of tableaux, Gelfand pairs, Hecke algebras, the philosophy of cusp forms and thecohomology of Grassmannians. An appendix introduces the reader to the use of Sage mathematical software for Lie group computations |
Note: | Springer eBooks |
Contents: | Part I: Compact Topological Groups |
1 Haar Measure | |
2 Schur Orthogonality | |
3 Compact Operators | |
4 The PeterWeyl Theorem | |
Part II: Compact Lie Groups | |
5 Lie Subgroups of GL(n,C) | |
6 Vector Fields | |
7 Left | |
Invariant Vector Fields | |
8 The Exponential Map | |
9 Tensors and Universal Properties | |
10 The Universal Enveloping Algebra | |
11 Extension of Scalars | |
12 Representations of sl(2,C) | |
13 The Universal Cover | |
14 The Local Frobenius Theorem | |
15 Tori | |
16 Geodesics and Maximal Tori | |
17 The Weyl Integration Formula | |
18 The Root System | |
19 Examples of Root Systems | |
ISBN: | 9781461480242 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Graduate Texts in Mathematics, 0072-5285 : v225 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Topological Groups |
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Call number: | SPRINGER-2013-9781461471387:ONLINE Show nearby items on shelf |
Title: | An Introduction to Statistical Learning [electronic resource] with Applications in R |
Author(s): |
Gareth James Daniela Witten Trevor Hastie Robert Tibshirani |
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: | An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biologyto finance to market ing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification,resampling methods, shrinkage approaches, tr ee-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is tofacilitate the use of these statistical learning techniques by pract itioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular opensource statistical software platform. Two of the authors co-wrote The Elements of Statistic al Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. AnIntroduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader a udience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statisticallearning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra |
Note: | Springer eBooks |
Contents: | Introduction |
Statistical Learning | |
Linear Regression | |
Classification | |
Resampling Methods | |
Linear Model Selection and Regularization | |
Moving Beyond Linearity | |
Tree | |
Based Methods | |
Support Vector Machines | |
Unsupervised Learning | |
Index | |
ISBN: | 9781461471387 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Texts in Statistics, 1431-875X : v103 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461467977:ONLINE Show nearby items on shelf |
Title: | Nonlinear Optimization Applications Using the GAMS Technology [electronic resource] |
Author(s): |
Neculai Andrei |
Date: | 2013 |
Publisher: | Boston, MA : Springer US : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Nonlinear Optimization Applications Using the GAMS Technology develops a wide spectrum of nonlinear optimization applications expressed in the GAMS (General Algebraic Modeling System) language. The book is highly self-containedand is designed to pres ent applications in a general form that can be easily understood and quickly updated or modified to represent situations from the real world. The book emphasizes the local solutions of the large-scale, complex,continuous nonlinear optimization application s, and the abundant examples in GAMS are highlighted by those involving ODEs, PDEs, and optimal control. The collection of these examples will be useful for software developers andtesters. Chapter one presents aspects concerning the mathematical modeling process in the context of mathematical modeling technologies based on algebraic-oriented modeling languages. The GAMS technology is introduced in Chapter 2,mainly as a system for formulating and solving a large variety of general optimization models. The bulk of the82 nonlinear optimization applications is given in Chapter 3. This book is primarily intended to serve as a reference forgraduate students and for scientists working in various disciplines of industry/mathematical programming that use optimizat ion methods to model and solve problems. It is also well suited as supplementary material for seminars inoptimization, operations research, and decision making, to name a few |
Note: | Springer eBooks |
Contents: | Preface |
List of Figures | |
List of Applications | |
1. Mathematical Modeling Using Algebraic Oriented Languages | |
2. Introduction to GAMS Technology | |
3. Nonlinear Optimization Applications in GAMS Technology | |
References | |
Subject Index | |
Author Index | |
ISBN: | 9781461467977 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Optimization and Its Applications, 1931-6828 : v81 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer science , Mathematical optimization |
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Call number: | SPRINGER-2013-9781461464495:ONLINE Show nearby items on shelf |
Title: | Practical Tools for Designing and Weighting Survey Samples [electronic resource] |
Author(s): |
Richard Valliant Jill A Dever Frauke Kreuter |
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: | Survey sampling is fundamentally an applied field. The goal in this book is to put an array of tools at the fingertips of practitioners by explaining approaches long used by survey statisticians, illustrating how existingsoftware can be used to solve survey problems, and developing some specialized software where needed. This book serves at least three audiences: (1) Students seeking a more in-depth understanding of applied sampling either through asecond semester-long course or by way of a supplemen tary reference (2) Survey statisticians searching for practical guidance on how to apply concepts learned in theoretical or applied sampling courses and (3) Social scientists andother survey practitioners who desire insight into the statistical thinking a nd steps taken to design, select, and weight random survey samples. Several survey data sets are used to illustrate how to design samples, to make estimatesfrom complex surveys for use in optimizing the sample allocation, and to calculate weights. Realist ic survey projects are used to demonstrate the challenges and provide a context for the solutions. The book covers several topics thateither are not included or are dealt with in a limited way in other texts. These areas include: sample size computations for multistage designs power calculations related to surveys mathematical programming for sample allocation in amulti-criteria optimization setting nuts and bolts of area probability sampling multiphase designs quality control of survey operations and sta tistical software for survey sampling and estimation. An associated R package,PracTools, contains a number of specialized functions for sample size and other calculations. The data sets used in the book are also available in PracTools, so that the reader may replicate the examples or perform further analyses.Richard Valliant is a Research Professor at the Institute for Social Research of the University of Michigan and at the Joint Program in S |
Note: | Springer eBooks |
Contents: | Designing Single |
stage Sample Surveys | |
Multistage Designs | |
Survey Weights and Analyses | |
Other Topics | |
Appendices | |
ISBN: | 9781461464495 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Statistics for Social and Behavioral Sciences : v51 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461463870:ONLINE Show nearby items on shelf |
Title: | Structure of Solutions of Variational Problems [electronic resource] |
Author(s): |
Alexander J Zaslavski |
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: | Structure of Solutions of Variational Problems is devoted to recent progress made in the studies of the structure of approximate solutions of variational problems considered on subintervals of a real line. Results on propertiesof approximate solution s which are independent of the length of the interval, for all sufficiently large intervals are presented in a clear manner. Solutions, new approaches, techniques and methods to a number of difficult problems inthe calculus of variations are illustrated t hroughout this book. This book also contains significant results and information about the turnpike property of the variational problems.This well-known property is a general phenomenonwhich holds for large classes of variational problems. The author exam ines the following in relation to the turnpike property in individual (non-generic) turnpike results, sufficient and necessary conditions for the turnpikephenomenon as well as in the non-intersection property for extremals of variational problems. This bo ok appeals to mathematicians working in optimal control and the calculus as well as with graduate students |
Note: | Springer eBooks |
Contents: | Preface |
1. Introduction | |
2. Nonautonomous problems | |
3.Autonomous problems | |
4.Convex Autonomous Problems | |
References | |
Index | |
ISBN: | 9781461463870 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | SpringerBriefs in Optimization, 2190-8354 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer software , Global analysis (Mathematics) , Functional equations , Mathematical optimization |
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Call number: | SPRINGER-2013-9781461462408:ONLINE Show nearby items on shelf |
Title: | Advances in Superprocesses and Nonlinear PDEs [electronic resource] |
Author(s): |
Janos Englander Brian Rider |
Date: | 2013 |
Publisher: | Boston, MA : Springer US : Imprint: Springer |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Sergei Kuznetsov is one of the top experts on measure valued branching processes (also known as superprocesses) and their connection to nonlinear partial dierential operators. His research interests range from stochasticprocesses and partial dierenti al equations to mathematical statistics, time series analysis and statistical software he has over 90 papers published in international research journals. His most well known contribution toprobability theory is the Kuznetsov-measure. A conference honori ng his 60thbirthday has been organized at Boulder, Colorado in the summer of 2010, with the participation of Sergei Kuznetsovs mentor and major co-author,Eugene Dynkin. The conference focused on topics related to superprocesses, branching diffusions and n onlinear partial differential equations. In particular, connections to the so-called Kuznetsov-measure were emphasized. Leading experts in the field as well as young researchers contributed to the conference. The meeting was organized by J. Englander and B. Rider (U. of Colorado). |
Note: | Springer eBooks |
Contents: | Markov processes and their applications to partial differential equationsKuznetsov's contributions |
Stochastic equations on projective systems of groups | |
Modeling competition between two influenza strains | |
Asymptotic Results for Near Critical Bienaym\'e | |
Galton | |
Watson and Catalyst | |
Reactant Branching Processes | |
Some path large deviation results for a branching diffusion | |
Longtime Behavior for Mutually Catalytic Branching | |
Super | |
Brownian motion: Lp | |
convergence of martingales through the pathwise spine decomposition | |
ISBN: | 9781461462408 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Proceedings in Mathematics & Statistics, 2194-1009 : v38 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential equations, partial , Distribution (Probability theory) , Economics Statistics |
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Call number: | SPRINGER-2013-9781461457435:ONLINE Show nearby items on shelf |
Title: | Statistics and Measurement Concepts with OpenStat [electronic resource] |
Author(s): |
William Miller |
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: | This statistics book is designed for use with the OpenStat statistics program,an open-source software developedby William Miller. This book and thecorresponding free programcovers a broad spectrum of statistical theoryandtechniques. OpenStatusers are researchers and students in the social sciences,education, psychology, nursing and medicinewho benet from the hands on approach to Statistics. During and upon completionof courses inStatistics or measurement, students and future researchers need a lowcos t computer program available to them, and OpenStat lls this void. The softwareis used in Statistics courses around the worldwith over 50,000 downloads peryear. Also available is a users manual thatcoversapplications of the OpenStat software, including mea surement,ANOVA, regression analyses, simulation, product-moment and partial correlations,and logistic regression.Thisbook and the companion Users Manual are important learning tools that explain thestatistics behind the many analyses possible with the pro gram and demonstratethese analyses. |
Note: | Springer eBooks |
ISBN: | 9781461457435 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461457404:ONLINE Show nearby items on shelf |
Title: | OpenStat Reference Manual [electronic resource] |
Author(s): |
William Miller |
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: | This reference manual for the OpenStat software, an open-source software developed by William Miller, coversa broad spectrum ofstatisticalmethods and techniques.A unique feature is its compatibility with many otherstatistical programs. OpenStat users are researchers and students in thesocial sciences,education, orpsychology, who benefit from the hands on approach to Statistics.During and upon completion of courses in Statistics ormeasurement, students and future researchers need a low cost computer p rogram available to them, and OpenStat fills this void. The software is used in Statistics courses around the world with over 50,000 downloads per year. The manualcovers all functions of the OpenStat software, including measurement, ANOVAS, regression ana lyses, simulations, product-moment and partial correlations, and logistic regression. The manual is an important learning tool that explainsthe Statistics behind the many analyses possible with the program and demonstrates these analyses. William Miller h as a diverse background in Industrial Technology, Psychology, Statistics and Measurement. He has taught courses inElectronics, computer programming, educational psychology, measurement and statistics and published many articles in these subject areas He h as taught statistics for over 30 years and developed a number of statistical packages forfree use by educators and researchers in a variety of fields including education, psychology, medicine, economics and geology. He received his PhD. from the Universit y of Iowa in Educational Psychology, Statistics and Measurement.His academic experiences include director of two university computing centers, director of a counseling center and assistant to a university president for information services in addition to his teaching |
Note: | Springer eBooks |
Contents: | OPENSTAT REFERENCE MANUAL |
PREFACE | |
TABLE OF CONTENTS | |
INTRODUCTION | |
INSTALLING OPENSTAT | |
STARTING OPENSTAT | |
FILES | |
CREATING A FILE | |
ENTERING DATA | |
SAVING A FILE | |
DISTRIBUTIONS | |
DESCRIPTIVE ANALYSES | |
VERSUS Y PLOTS | |
VERSUS MULTIPLE Y PLOT | |
CORRELATION | |
COMPARISONS | |
MULTIVARIATE | |
NON | |
PARAMETRIC | |
MEASUREMENT | |
STATISTICAL PROCESS CONTROL | |
LINEAR PROGRAMMING | |
THE ITEM BANKING PROGRAM | |
NEURAL NETWORKS | |
USING THE PROGRAM | |
EXAMPLES | |
INDEX | |
ISBN: | 9781461457404 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461456964:ONLINE Show nearby items on shelf |
Title: | Applied Bayesian Statistics [electronic resource] : With R and OpenBUGS Examples |
Author(s): |
Mary Kathryn Cowles |
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: | This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics andStatistics and studen ts in graduate programs in Statistics, Biostatistics, Engineering, Economics, Marketing, Pharmacy, and Psychology. The goal of the book is to impart the basics of designing and carrying out Bayesian analyses, andinterpreting and communicating the results. In addition, readers will learn to use the predominant software for Bayesian model-fitting, R and OpenBUGS. The practical approach this book takes will help students of all levels to buildunderstanding of the concepts and procedures required to answer re al questions by performing Bayesian analysis of real data. Topics covered include comparing and contrasting Bayesian and classical methods, specifying hierarchicalmodels, and assessing Markov chain Monte Carlo output. Mary Kathryn(Kate) Cowles taught Suzu ki piano for many years before going to graduate school in Biostatistics. Her research areas are Bayesian and computational statistics,with application to environmental science. She is on the faculty of Statistics at The University of Iowa |
Note: | Springer eBooks |
Contents: | What is Bayesian statistics? |
Review of probability | |
Introduction to one | |
parameter models | |
Inference for a population proportion | |
Special considerations in Bayesian inference | |
Other one | |
parameter models and their conjugate priors | |
More realism please: Introduction to multiparameter models | |
Fitting more complex Bayesian models: Markov chain Monte Carlo | |
Hierarchical models, and more on convergence assessment | |
Regression and hierarchical regression models | |
Model Comparison, Model Checking, and Hypothesis Testing | |
References | |
Index | |
ISBN: | 9781461456964 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Texts in Statistics, 1431-875X : v98 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781461455745:ONLINE Show nearby items on shelf |
Title: | Models, Algorithms, and Technologies for Network Analysis [electronic resource] : Proceedings of the First International Conference on Network Analysis |
Author(s): |
Boris Goldengorin Valery A Kalyagin Panos M Pardalos |
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: | This volume contains a selection of contributions from the First International Conference in Network Analysis, held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields thattake advantage of Network A nalysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the majorresults found by the participants and combining them i n one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described andanalyzed by means of a network is bringing together researchers, practitioners an d other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. Thecontributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, andapplications |
Note: | Springer eBooks |
ISBN: | 9781461455745 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Proceedings in Mathematics & Statistics, 2194-1009 : v32 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Combinatorics , Mathematical optimization |
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Call number: | SPRINGER-2013-9781461452423:ONLINE Show nearby items on shelf |
Title: | Connected Dominating Set: Theory and Applications [electronic resource] |
Author(s): |
Ding-Zhu Du Peng-Jun Wan |
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: | The connected dominating set (CDS)has been a classic subject studied in graph theory since 1975. It has been discovered inrecent years thatCDS has important applications in communication networks especially in wirelessnetworks as a virtual backbone. Motivated from those applications, many papers have been published in the literature during last 15 years. Now, the connected dominating set has become a hot research topic in computer science. Thiswork isa valuable reference for researchers in computer s cience and operations research, especially in areas of theoretical computer science, computer communication networks, combinatorial optimization, industrial engineering, anddiscrete mathematics. The book may also be used as a text in a graduate seminar fo r PhD students. Readers should have a basic knowledge of computational complexity and combinatorial optimization. In this book, the authors present thestate-of-the-art in the study of connected dominating sets. Each chapter is devoted to one problem, and consists of three parts: motivation and overview, problem complexity analysis, and approximation algorithm designs. The text isdesigned togive the reader a clear understanding of thebackground, formulation, existing important research results, and open pr oblems. Topics include minimum CDS, routing-cost constrained CDS, weighted CDS, directed CDS, SCDS(strongly connected dominating set), WCDS (weakly connected dominating set), CDS-partition, virtual backbone in wireless networks, convertor placement in opt ical networks, coverage in wireless sensor networks, and more |
Note: | Springer eBooks |
ISBN: | 9781461452423 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Optimization and Its Applications, 1931-6828 : v77 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Computer Communication Networks , Computer software , Combinatorics , Mathematical optimization |
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Call number: | SPRINGER-2013-9781461443438:ONLINE Show nearby items on shelf |
Title: | R for Business Analytics [electronic resource] |
Author(s): |
A Ohri |
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: | R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select thepackages that can help pro cess the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learningR. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models andforecasting. The book tries to expose the reader to a breadth of business anal ytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. Thisbook is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for businessanalytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by busines ses. Business Intelligence (BI) is the seamless dissemination of information through the organization,which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discove ring new patterns from large data using algorithms and statistical methods. Todifferentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the faste st growing analytics platform in the world, and isestablished in both academia and corporations for robustness, reliability and accuracy. |
Note: | Springer eBooks |
Contents: | Why R |
R Infrastructure | |
R Interfaces | |
Manipulating Data | |
Exploring Data | |
Building Regression Models | |
Data Mining using R | |
Clustering and Data Segmentation | |
Forecasting and Time | |
Series Models | |
Data Export and Output | |
Optimizing your R Coding | |
Additional Training Literature | |
Appendix | |
ISBN: | 9781461443438 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics , Economics Statistics |
Availability: | Click here to see Library holdings or inquire at
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Call number: | SPRINGER-2013-9781461439004:ONLINE Show nearby items on shelf |
Title: | Linear Mixed-Effects Models Using R [electronic resource] : A Step-by-Step Approach |
Author(s): |
Andrzej Gaecki Tomasz Burzykowski |
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: | Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics,educational measuremen t, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. Tohelp readers to get familiar with the feature s of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software andapplications. It is built up incrementally, starting with a summa ry of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach isused to describe the R tools for LMMs. All the classes of linear models presented in t he book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariancestructure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text. Andrzej Gaeckiis a Research Professor in the Division of Geriatric Medicine, Department of Internal Medicine, and Institute of Gerontology at the University of Michigan Medical School, and is Research Scientist in the Department of Biostatistics atthe University of Michigan School of Public Health. He earned his M.Sc. in applied mathematics (1977) from the Technical University of Warsaw, Poland, an d an M.D. (1981) from the Medical University of Warsaw. In 1985 he earned a Ph.D.in epidemiology from the Institute of Mother and Child Care in Warsaw (Poland). He is a member of the Editorial Board o |
Note: | Springer eBooks |
Contents: | Introduction |
Linear Models for Independent Observations | |
Linear Fixed | |
effects Models for Correlated Data | |
Linear Mixed | |
effects Models | |
ISBN: | 9781461439004 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Springer Texts in Statistics, 1431-875X |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Statistics , Mathematical statistics |
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Call number: | SPRINGER-2013-9781441998781:ONLINE Show nearby items on shelf |
Title: | Robust Data Mining [electronic resource] |
Author(s): |
Petros Xanthopoulos Panos M Pardalos Theodore B Trafalis |
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: | Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques.Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This briefcontains an overview of the rapidly growing field ofrobust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems.Thisbrief will appeal to theoreticians and data miners working in thi s field |
Note: | Springer eBooks |
Contents: | 1. Introduction |
2. Least Squares Problems | |
3. Principal Component Analysis | |
4. Linear Discriminant Analysis | |
5.Support Vector Machines | |
6. Conclusion | |
ISBN: | 9781441998781 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | SpringerBriefs in Optimization, 2190-8354 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Software engineering , Data mining , Mathematical optimization |
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Call number: | SPRINGER-2013-9780817683702:ONLINE Show nearby items on shelf |
Title: | Geography of Order and Chaos in Mechanics [electronic resource] : Investigations of Quasi-Integrable Systems with Analytical, Numerical, and Graphical Tools |
Author(s): |
Bruno Cordani |
Date: | 2013 |
Publisher: | New York, NY : Springer New York : Imprint: Birkhuser |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | This original monograph aims to explore the dynamics in the particular but very important and significant case of quasi-integrable Hamiltonian systems, or integrable systems slightly perturbed by other forces. With both analyticand numerical methods, the book studies several of these systemsincluding for example the hydrogen atom or the solar system, with the associated Arnold webthrough modern tools such as the frequency-modified fourier transform,wavelets, and the frequency-modulation indicator. Me anwhile, it draws heavily on the more standard KAM and Nekhoroshev theorems. Geography of Order and Chaos in Mechanics contains many figures that illuminate its concepts in novelways, but perhaps its most useful feature is its inclusion of software to rep roduce the various numerical experiments. The graphical user interfaces of five supplied MATLAB programs allows readers without any knowledge of computerprogramming to visualize and experiment with the distribution of order, chaos and resonances in variou s Hamiltonian systems. This monograph will be a valuable resource for professional researchers and certain advanced undergraduatestudents in mathematics and physics, but mostly will be an exceptional reference for Ph.D. students with an interest in pertur bation theory |
Note: | Springer eBooks |
Contents: | Preface |
List of Figures | |
1 Introductory Survey | |
2 Analytical Mechanics and Integrable Systems | |
3 Perturbation Theory | |
4 Numerical Tools I: ODE Integration | |
5 Numerical Tools II: Detecting Order, Chaos, and Resonances | |
6 The Kepler Problem | |
7 TheKEPLER Program | |
8 Some Perturbed Keplerian Systems | |
9 The Multi | |
Body Gravitational Problem | |
Bibliography | |
Index | |
ISBN: | 9780817683702 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Progress in Mathematical Physics : v64 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Mathematics , Differential equations, partial , Global differential geometry , Mathematical physics |
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Call number: | SPRINGER-2012-9789491216565:ONLINE Show nearby items on shelf |
Title: | Code Generation with Templates [electronic resource] |
Author(s): |
Jeroen Arnoldus Mark van den Brand A Serebrenik J.J Brunekreef |
Date: | 2012 |
Publisher: | Paris : Atlantis Press : Imprint: Atlantis Press |
Size: | 1 online resource |
Note: | Springer e-book platform |
Note: | Springer 2013 e-book collections |
Note: | Templates are used to generate all kinds of text, including computer code. The last decade, the use of templates gained a lot of popularity due to the increase of dynamic web applications. Templates are a tool for programmers, andimplementations of t emplate engines are most times based on practical experience rather than based on a theoretical background. This book reveals the mathematical background of templates and shows interesting findings for improvingthe practical use of templates. First, a fr amework to determine the necessary computational power for the template metalanguage is presented. The template metalanguage does not need to be Turing-complete to be useful. Anon-Turing-complete metalanguage enforces separation of concerns between the vi ew and model. Second, syntactical correctness of all languages of the templates and generated code is ensured. This includes the syntactical correctness ofthe template metalanguage and the output language. Third, case studies show that the achieved goals are applicable in practice. It is even shown that syntactical correctness helps to prevent cross-site scripting attacks in webapplications. The target audience of this book is twofold. The first group exists of researcher interested in the mathematical b ackground of templates. The second group exists of users of templates. This includes designers oftemplate engines on one side and programmers and web designers using templates on the other side |
Note: | Springer eBooks |
Contents: | Introduction |
Preliminaries | |
The Unparser | |
The Metalanguage | |
Syntax | |
Safe Templates | |
Repleo: Syntax | |
Safe Template Evaluation | |
Case Studies | |
Conclusions | |
ISBN: | 9789491216565 |
Series: | e-books |
Series: | SpringerLink (Online service) |
Series: | Atlantis Studies in Computing, 2212-8557 : v1 |
Series: | Mathematics and Statistics (Springer-11649) |
Keywords: | Computer science , Software engineering |
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Location: | ONLINE |
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