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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
Ensemble Methods: Foundations and Algorithms
by Zhi-Hua ZhouAn up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.After presenting background and terminology, the book cover
RC4 Stream Cipher and Its Variants
by Goutam Paul Subhamoy MaitraRC4 Stream Cipher and Its Variants is the first book to fully cover the popular software stream cipher RC4. With extensive expertise in stream cipher cryptanalysis and RC4 research, the authors focus on the analysis and design issues of RC4. They also explore variants of RC4 and the eSTREAM finalist HC-128.After an introduction to the vast field of
Mathematical and Algorithmic Foundations of the Internet
by Fabrizio Luccio Linda Pagli Graham SteelTo truly understand how the Internet and Web are organized and function requires knowledge of mathematics and computation theory. Mathematical and Algorithmic Foundations of the Internet introduces the concepts and methods upon which computer networks rely and explores their applications to the Internet and Web. The book offers a unique approach to
Elements of Differential Topology
by Anant R. ShastriDerived from the author's course on the subject, Elements of Differential Topology explores the vast and elegant theories in topology developed by Morse, Thom, Smale, Whitney, Milnor, and others. It begins with differential and integral calculus, leads you through the intricacies of manifold theory, and concludes with discussions on algebraic topol
Algorithms and Theory of Computation Handbook - 2 Volume Set
by Mikhail J. Atallah Marina BlantonAlgorithms and Theory of Computation Handbook, Second Edition in a two volume set, provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. New to the Second Edition: Along with updating and revising many of the existing chapters, this second edition contains more than 20 new chapters. This edition now covers external memory, parameterized, self-stabilizing, and pricing algorithms as well as the theories of algorithmic coding, privacy and anonymity, databases, computational games, and communication networks. It also discusses computational topology, computational number theory, natural language processing, and grid computing and explores applications in intensity-modulated radiation therapy, voting, DNA research, systems biology, and financial derivatives. This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics
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
Transcendental Representations with Applications to Solids and Fluids
by Luis Manuel Braga da Costa CamposBuilding on the author's previous book in the series, Complex Analysis with Applications to Flows and Fields (CRC Press, 2010), Transcendental Representations with Applications to Solids and Fluids focuses on four infinite representations: series expansions, series of fractions for meromorphic functions, infinite products for functions with infinit
Circular and Linear Regression: Fitting Circles and Lines by Least Squares
by Nikolai ChernovFind the right algorithm for your image processing applicationExploring the recent achievements that have occurred since the mid-1990s, Circular and Linear Regression: Fitting Circles and Lines by Least Squares explains how to use modern algorithms to fit geometric contours (circles and circular arcs) to observed data in image processing and comput
Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies
by Mark ChangHelping you become a creative, logical thinker and skillful "simulator," Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and metho
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
Bayesian Model Selection and Statistical Modeling
by Tomohiro AndoAlong with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how
Statistical and Computational Methods in Brain Image Analysis
by Moo K. ChungThe massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe the quantitative techniques with detailed illustratio
Randomized Response and Indirect Questioning Techniques in Surveys
by Arijit ChaudhuriFor surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current s
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
Sequential Analysis: Hypothesis Testing and Changepoint Detection
by Alexander Tartakovsky Igor Nikiforov Michele BassevilleSequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detecti
Software Metrics: A Rigorous and Practical Approach, Third Edition
by Norman Fenton James BiemanA Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and ProcessesReflecting the immense progress in the development and use of software metrics in the past decades, Software Metrics: A Rigorous and Practical Approach, Third Edition provides an up-to-date, accessible, and comprehensive introduction to soft
Methods for Estimation and Inference in Modern Econometrics
by Stanislav Anatolyev Nikolay GospodinovMethods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also add
Adaptive and Flexible Clinical Trials
by Richard ChinAdaptive clinical trial designs, unlike traditional fixed clinical trial designs, enable modification of studies in response to the data generated in the course of the trial. This often results in studies that are substantially faster, more efficient, and more powerful. Recent developments in web-based real-time data entry and advances in statistic
Advanced Bayesian Methods for Medical Test Accuracy
by Lyle D. BroemelingUseful in many areas of medicine and biology, Bayesian methods are particularly attractive tools for the design of clinical trials and diagnostic tests, which are based on established information, usually from related previous studies. Advanced Bayesian Methods for Medical Test Accuracy begins with a review of the usual measures such as specificity
Optimal Control for Chemical Engineers
by Simant Ranjan UpretiThis self-contained book gives a detailed treatment of optimal control theory that enables readers to formulate and solve optimal control problems. With a strong emphasis on problem solving, it provides all the necessary mathematical analyses and derivations of important results, including multiplier theorems and Pontryagin's principle. The text presents various examples and basic concepts of optimal control and describes important numerical methods and computational algorithms for solving a wide range of optimal control problems, including periodic processes.
Bayesian Analysis Made Simple: An Excel GUI for WinBUGS
by Phil WoodwardAlthough the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to cre
LabVIEW: A Developer's Guide to Real World Integration
by Ian Fairweather Anne BrumfieldLabVIEW has become one of the preeminent platforms for the development of data acquisition and data analysis programs. LabVIEW : A Developer's Guide to Real World Integration explains how to integrate LabVIEW into real-life applications.Written by experienced LabVIEW developers and engineers, the book describes how LabVIEW has been pivotal in solv
Adaptive Design Methods in Clinical Trials
by Shein-Chung Chow Mark ChangWith new statistical and scientific issues arising in adaptive clinical trial design, including the U.S. FDA's recent draft guidance, a new edition of one of the first books on the topic is needed. Adaptive Design Methods in Clinical Trials, Second Edition reflects recent developments and regulatory positions on the use of adaptive designs in clini