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MATLAB with Applications to Engineering, Physics and Finance
by David Baez-LopezMaster the tools of MATLAB through hands-on examplesShows How to Solve Math Problems Using MATLABThe mathematical software MATLAB integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the MATLAB toolboxes especially dedicated to science, finance, and engineering
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences (Chapman And Hall/crc Statistics In The Social And Behavioral Sciences Ser.)
by Brian S. EverittMultivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues.The author begins by exploring
Statistics and Data Analysis for Microarrays Using R and Bioconductor (Chapman And Hall/crc Mathematical And Computational Biology Ser.)
by Sorin Dr 259 GhiciRichly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on,
Computers and Society: Computing for Good (Chapman And Hall/crc Textbooks In Computing Ser.)
by Lisa C. KaczmarczykSince computer scientists make decisions every day that have societal context and influence, an understanding of society and computing together should be integrated into computer science education. Showing students what they can do with their computing degree, Computers and Society: Computing for Good uses concrete examples and case studies to high
Solution Techniques for Elementary Partial Differential Equations
by Christian ConstandaIncorporating a number of enhancements, Solution Techniques for Elementary Partial Differential Equations, Second Edition presents some of the most important and widely used methods for solving partial differential equations (PDEs). The techniques covered include separation of variables, method of characteristics, eigenfunction expansion, Fourier a
Stochastic Finance: A Numeraire Approach (Chapman And Hall/crc Financial Mathematics Ser.)
by Jan VecerUnlike much of the existing literature, Stochastic Finance: A Numeraire Approach treats price as a number of units of one asset needed for an acquisition of a unit of another asset instead of expressing prices in dollar terms exclusively. This numeraire approach leads to simpler pricing options for complex products, such as barrier, lookback, quant
Discrete Mathematics: Proofs, Structures and Applications, Third Edition
by Rowan Garnier John TaylorTaking an approach to the subject that is suitable for a broad readership, Discrete Mathematics: Proofs, Structures, and Applications, Third Edition provides a rigorous yet accessible exposition of discrete mathematics, including the core mathematical foundation of computer science. The approach is comprehensive yet maintains an easy-to-follow prog
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Walter W. StroupGeneralized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics
Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo
by Ilya B. GertsbakhUnique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unre
Programming in C++ for Engineering and Science
by Larry NyhoffDeveloped from the author's many years of teaching computing courses, Programming in C++ for Engineering and Science guides students in designing programs to solve real problems encountered in engineering and scientific applications. These problems include radioactive decay, pollution indexes, digital circuits, differential equations, Internet addr
Introduction to Cryptography with Open-Source Software (Discrete Mathematics And Its Applications Ser.)
by Alasdair McAndrewOnce the privilege of a secret few, cryptography is now taught at universities around the world. Introduction to Cryptography with Open-Source Software illustrates algorithms and cryptosystems using examples and the open-source computer algebra system of Sage. The author, a noted educator in the field, provides a highly practical learning experienc
Advanced Linear Algebra
by Bruce CoopersteinAdvanced Linear Algebra focuses on vector spaces and the maps between them that preserve their structure (linear transformations). It starts with familiar concepts and then slowly builds to deeper results. Along with including many exercises and examples, each section reviews what students need to know before studying the material. The book first i
Mathematics for the Environment
by Martin WalterMathematics for the Environment shows how to employ simple mathematical tools, such as arithmetic, to uncover fundamental conflicts between the logic of human civilization and the logic of Nature. These tools can then be used to understand and effectively deal with economic, environmental, and social issues. With elementary mathematics, the book se
Risk Management and Simulation
by Aparna GuptaThe challenges of the current financial environment have revealed the need for a new generation of professionals who combine training in traditional finance disciplines with an understanding of sophisticated quantitative and analytical tools. Risk Management and Simulation shows how simulation modeling and analysis can help you solve risk managemen
Simulation of Dynamic Systems with MATLAB and Simulink
by Harold Klee Randal Allen"� a seminal text covering the simulation design and analysis of a broad variety of systems using two of the most modern software packages available today. � particularly adept [at] enabling students new to the field to gain a thorough understanding of the basics of continuous simulation in a single semester, and [also provides] a more advanced tre
Stochastic Modelling for Systems Biology (Chapman And Hall/crc Mathematical And Computational Biology Ser.)
by Darren J. WilkinsonSince the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic m
Bijective Combinatorics (Discrete Mathematics And Its Applications Ser.)
by Nicholas LoehrBijective proofs are some of the most elegant and powerful techniques in all of mathematics. Suitable for readers without prior background in algebra or combinatorics, Bijective Combinatorics presents a general introduction to enumerative and algebraic combinatorics that emphasizes bijective methods.The text systematically develops the mathematical
Variational Methods in Image Processing (Chapman And Hall/crc Mathematical And Computational Imaging Sciences Ser.)
by Luminita A. VeseVariational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t
Probabilistic Models for Dynamical Systems
by Haym Benaroya Seon Mi Han Mark NagurkaNow in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing equations.Introduces probabilistic modeling and explo
A First Course in Differential Equations, Modeling, and Simulation
by Carlos A. SmithEmphasizing a practical approach for engineers and scientists, A First Course in Differential Equations, Modeling, and Simulation avoids overly theoretical explanations and shows readers how differential equations arise from applying basic physical principles and experimental observations to engineering systems. It also covers classical methods for
Universal Algebra: Fundamentals and Selected Topics (Chapman And Hall Pure And Applied Mathematics Ser.)
by Clifford BergmanStarting with the most basic notions, Universal Algebra: Fundamentals and Selected Topics introduces all the key elements needed to read and understand current research in this field. Based on the author's two-semester course, the text prepares students for research work by providing a solid grounding in the fundamental constructions and concepts o
Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition (Chapman And Hall/crc Statistics In The Social And Behavioral Sciences Ser.)
by Jeff GillAn Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of th
Discrete Algorithmic Mathematics
by Stephen B. Maurer Anthony RalstonThoroughly revised for a one-semester course, this well-known and highly regarded book is an outstanding text for undergraduate discrete mathematics. It has been updated with new or extended discussions of order notation, generating functions, chaos, aspects of statistics, and computational biology. Written in a lively, clear style that talks to th
Algebraic Number Theory and Fermat's Last Theorem: Third Edition
by Ian Stewart David TallFirst published in 1979 and written by two distinguished mathematicians with a special gift for exposition, this book is now available in a completely revised third edition. It reflects the exciting developments in number theory during the past two decades that culminated in the proof of Fermat's Last Theorem. Intended as a upper level textbook, it
Lessons in Play: An Introduction to Combinatorial Game Theory
by Michael AlbertCombinatorial games are games of pure strategy involving two players, with perfect information and no element of chance. Starting from the very basics of gameplay and strategy, the authors cover a wide range of topics, from game algebra to special classes of games. Classic techniques are introduced and applied in novel ways to analyze both old and