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Mathematical Principles for Scientific Computing and Visualization
by Gerald FarinThis non-traditional introduction to the mathematics of scientific computation describes the principles behind the major methods, from statistics, applied mathematics, scientific visualization, and elsewhere, in a way that is accessible to a large part of the scientific community. Introductory material includes computational basics, a review of coo
Mathematical Methods in Physics: Partial Differential Equations, Fourier Series, and Special Functions
by Victor HennerThis book is a text on partial differential equations (PDEs) of mathematical physics and boundary value problems, trigonometric Fourier series, and special functions. This is the core content of many courses in the fields of engineering, physics, mathematics, and applied mathematics. The accompanying software provides a laboratory environment that
Differential Geometry of Manifolds
by Stephen LovettFrom the coauthor of Differential Geometry of Curves and Surfaces, this companion book presents the extension of differential geometry from curves and surfaces to manifolds in general. It provides a broad introduction to the field of differentiable and Riemannian manifolds, tying together the classical and modern formulations. The three appendices
Advanced Game Development with Programmable Graphics Hardware
by Alan WattWritten for game programmers and developers, this book covers GPU techniques and supporting applications that are commonly used in games and similar real-time 3D applications. The authors describe the design of programs and systems that can be used to implement games and other applications whose requirements are to render real-time animation sequen
Factorization: Unique and Otherwise
by Steven H. WeintraubThe concept of factorization, familiar in the ordinary system of whole numbers that can be written as a unique product of prime numbers, plays a central role in modern mathematics and its applications. This exposition of the classic theory leads the reader to an understanding of the current knowledge of the subject and its connections to other math
Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects (Chapman And Hall/crc Texts In Statistical Science Ser.)
by James S. HodgesA First Step toward a Unified Theory of Richly Parameterized Linear ModelsUsing mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based understanding of models with random effects.Richly Param
An Introduction to Numerical Methods: A MATLAB Approach, Third Edition
by Abdelwahab Kharab Ronald B. GuentherHighly recommended by CHOICE, previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB Approach, Third Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors use MATL
TriMathlon: A Workout Beyond the School Curriculum
by Judith SallySwim, Run, and Bike your way to math success! Judith and Paul Sally, accomplished mathematicians and experienced teachers, offer a challenging athletic workout to the minds of their young readers through exercises in areas of number theory and geometry that extend beyond the realm of basic mathematics in the school curriculum. The activities in the
The Cryptoclub Workbook: Using Mathematics to Make and Break Secret Codes
by Janet BeissingerThis workbook, which accompanies The Cryptoclub, provides students with problems related to each section to help them master the concepts introduced throughout the book. A PDF version is available at no charge. This file can be found under our Downloads and Updates tab. The teacher manual can be requested from the publisher by contacting the Academ
Quantitative Finance: A Simulation-Based Introduction Using Excel
by Matt DavisonTeach Your Students How to Become Successful Working QuantsQuantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techn
Probability and Stochastic Modeling
by Vladimir I. RotarA First Course in Probability with an Emphasis on Stochastic ModelingProbability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also emphasizes stochastic modeling, including Markov chains, birth-death processes, and reliability models. Unlike most undergraduate-level probability t
Foundational and Applied Statistics for Biologists Using R
by Ken A. AhoFull of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complica
Nonparametric Statistical Methods Using R (Chapman And Hall/crc The R Ser.)
by John KlokeA Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses, including estimation and inference for models ranging from simple location models to general linear and nonlinear models for uncorrelated and correlated responses. The a
Probability and Statistics for Computer Scientists
by Michael BaronStudent-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make o
Statistics for Environmental Science and Management (Chapman And Hall/crc Applied Environmental Statistics Ser.)
by Bryan F. J. ManlyRevised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in
Statistical Inference: An Integrated Approach, Second Edition (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Helio S. Migon Dani Gamerman Francisco LouzadaA Balanced Treatment of Bayesian and Frequentist InferenceStatistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on both perspectives than the first edition.New to the Sec
Foundations of Statistical Algorithms: With References to R Packages (Chapman And Hall/crc Computer Science And Data Analysis Ser.)
by Claus WeihsA new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical
Introduction to the Simulation of Dynamics Using Simulink (Chapman And Hall/crc Computational Science Ser.)
by Michael A. GrayDesigned for undergraduate students in the general science, engineering, and mathematics community, Introduction to the Simulation of Dynamics Using Simulink shows how to use the powerful tool of Simulink to investigate and form intuitions about the behavior of dynamical systems. Requiring no prior programming experience, it clearly explains how to
Operating System Design: The Xinu Approach, Linksys Version
by Douglas ComerOperating System Design: The Xinu Approach, Linksys Version provides a comprehensive introduction to Operating System Design, using Xinu, a small, elegant operating system that serves as an example and a pattern for system design. The book focuses the discussion of operating systems on the microkernel operating system facilities used in embedded sy
R for Statistics
by Pierre-Andre CornillonAlthough there are currently a wide variety of software packages suitable for the modern statistician, R has the triple advantage of being comprehensive, widespread, and free. Published in 2008, the second edition of Statistiques avec R enjoyed great success as an R guidebook in the French-speaking world. Translated and updated, R for Statistics in
Graphics for Statistics and Data Analysis with R (Chapman And Hall/crc Texts In Statistical Science Ser.)
by Kevin J. KeenGraphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and representation.The book
Applied Functional Analysis (Textbooks In Mathematics Ser.)
by J. Tinsley Oden Leszek DemkowiczThrough numerous illustrative examples and comments, Applied Functional Analysis, Second Edition demonstrates the rigor of logic and systematic, mathematical thinking. It presents the mathematical foundations that lead to classical results in functional analysis. More specifically, the text prepares students to learn the variational theory of parti
Stochastic Financial Models (Chapman And Hall/crc Financial Mathematics Ser.)
by Douglas KennedyFilling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance. The author takes a classical applied mathematical approach, focusing on calculations
Portfolio Optimization
by Michael J. BestEschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This practical book extends the concepts of the Markowitz "budget constraint only" model to a linearly constrained model.Only requiring elementary linear
Design and Analysis of Experiments with SAS (Chapman And Hall/crc Texts In Statistical Science Ser.)
by John LawsonA culmination of the author's many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual process of creating the design and collecting the data, s