Showing 49–72 of 158 results
In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms. In this new reference work, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi present the first comprehensive overview of the mathematical and numerical properties of the family’s newest member: semiseparable matrices.The text is divided into three parts. The first provides some historical background and introduces concepts and definitions concerning structured rank matrices.
Machinery of Mind is a full-scale, indispensable examination of the history, content, politics, and philosophy of Artificial Intelligence. In detail, consecutively but with a keen awareness of the interdisciplinary nature of the field, Johnson traces the history of the burgeoning science from its earliest practitioners to corporation-funded engineers and experts: Roger Schank, Terry Winograd, Doug Lenat and others who are struggling to create machines that can actually think independently, going beyond man-made programs and "games.&
The intention of this textbook is to provide both, the theoretical and computational tools that are necessary to investigate and to solve optimal control problems with ordinary differential equations and differential-algebraic equations. An emphasis is placed on the interplay between the continuous optimal control problem, which typically is defined and analyzed in a Banach space setting, and discrete optimal control problems, which are obtained by discretization and lead to finite dimensional optimization problems.
Many people intuitively sense that there is a connection between mathematics and music. If nothing else, both involve counting. There is, of course, much more to the association. David Wright’s book is an investigation of the interrelationships between mathematics and music, reviewing the needed background concepts in each subject as they are encountered. Along the way, readers will augment their understanding of both mathematics and music. The text explores the common foundations of the two subjects, which are developed side by side.
This volume contains the full text of two reports: one is an interim review of major census operations, which also assesses the U.S. Census bureau’s recommendation in March 2001 regarding statistical adjustment of census data for redistricting. It does not address the decision on adjustment for non-redistricting purposes.
The familiar wave equation is the most fundamental hyperbolic partial differential equation. Other hyperbolic equations, both linear and nonlinear, exhibit many wave-like phenomena. The primary theme of this book is the mathematical investigation of such wave phenomena. The exposition begins with derivations of some wave equations, including waves in an elastic body, such as those observed in connection with earthquakes. Certain existence results are proved early on, allowing the later analysis to concentrate on properties of solutions.
Score higher in your business statistics course? Easy.Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons."Business Statistics For Dummies" tracks to a typical business statistics course offered at the undergraduate and graduate levels and provides clear, practical explanations of business statistical ideas, techniques, formulas, and calculations, with lots of examples that shows you how these concepts apply to the world of global business and economics.
Mastering R has never been easierPicking up R can be tough, even for seasoned statisticians and data analysts. "R For Dummies," "2nd Edition" provides a quick and painless way to master all the R you’ll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel.
This highly successful introductory text has been updated in the light of recent legislative changes in education – such as the introduction of teacher appraisal and the move towards school-based training and research.
Suitable for self study. Use real examples and real data sets that will be familiar to the audience. Introduction to the bootstrap is included – this is a modern method missing in many other books.
An accessible and clear introduction to linear algebra with a focus on matrices and engineering applicationsProviding comprehensive coverage of matrix theory from a geometric and physical perspective, "Fundamentals of Matrix Analysis with Applications "describes the functionality of matrices and their ability to quantify and analyze many practical applications. Written by a highly qualified author team, the book presents tools for matrix analysis and is illustrated with extensive examples and software implementations.B
Two fundamental theories are commonly debated in the study of random processes: the Bachelier Wiener model of Brownian motion, which has been the subject of many books, and the Poisson process. While nearly every book mentions the Poisson process, most hurry past to more general point processes or to Markov chains. This comparative neglect is ill judged, and stems from a lack of perception of the real importance of the Poisson process. This distortion partly comes about from a restriction to one dimension, while the theory becomes more natural in more general contexts.
This book collects the results of the workshops on Applications of Algebraic Curves and Applications of Finite Fieldsat the RICAMin 2013. These workshops brought together the most prominent researchers in the area of finite fields and their applications around the world, addressing old and new problems on curves and other aspects of finite fields, with emphasis on their diverse applications to many areas of pure and applied mathematics.
Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.Offering balanced coverage of methodology, theory, and applications, this handbook:Describes modern, scalable approaches for analyzing increasingly large datasetsDefines the underlying concepts of the available analytical tools and techniquesDetails intercommunity advances in computational statistics and machine learningHandbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance.
Praise for the "Third Edition ""Future mathematicians, scientists, and engineers should find the book to be an excellent introductory text for coursework or self-study as well as worth its shelf space for reference." –MAA Reviews " Applied Mathematics, Fourth Edition" is a thoroughly updated and revised edition on the applications of modeling and analyzing natural, social, and technological processes. The book covers a wide range of key topics in mathematical methods and modeling and highlights the connections between mathematics and the applied and natural sciences.
Physicist and Ig Nobel Prize–winner Fisher (How to Dunk a Doughnut) explores how game theory illuminates social behavior in this lively study. Developed in the 1940s, game theory is concerned with the decisions people make when confronted with competitive situations, especially when they have limited information about the other players’ choices. Every competitive situation has a point called a Nash Equilibrium, in which parties cannot change their course of action without sabotaging themselves, and Fisher demonstrates that situations can be arranged so that the Nash Equilibrium is the best possible outcome for everyone.
This textbook is devoted to the study of some simple but representative nonlinear boundary value problems by topological methods. The approach is elementary, with only a few model ordinary differential equations and applications, chosen in such a way that the student may avoid most of the technical difficulties and focus on the application of topological methods. Only basic knowledge of general analysis is needed, making the book understandable to non-specialists. The main topics in the study of boundary value problems are present in this text, so readers with some experience in functional analysis or differential equations may also find some elements that complement and enrich their tools for solving nonlinear problems.
This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique and its applications to average hitting times and ruin probabilities. Classical topics such as recurrence and transience, stationary and limiting distributions, as well as branching processes, are also covered. Two major examples (gambling processes and random walks) are treated in detail from the beginning, before the general theory itself is presented in the subsequent chapters.
An accessible introduction to indirect estimation methods, both traditional and model–based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation.
Until now, no book addressed convexity, monotonicity, and variational inequalities together. Generalized Convexity, Nonsmooth Variational Inequalities, and Nonsmooth Optimization covers all three topics, including new variational inequality problems defined by a bifunction.The first part of the book focuses on generalized convexity and generalized monotonicity. The authors investigate convexity and generalized convexity for both the differentiable and nondifferentiable case. For the nondifferentiable case, they introduce the concepts in terms of a bifunction and the Clarke subdifferential.T
This book introduces advanced semantic web technologies, illustrating their utility and highlighting their implementation in biological, medical, and clinical scenarios. It covers topics ranging from database, ontology, and visualization to semantic web services and workflows.
Just the critical concepts you need to score high in geometry This practical, friendly guide focuses on critical concepts taught in a typical geometry course, from the properties of triangles, parallelograms, circles, and cylinders, to the skills and strategies you need to write geometry proofs. Geometry Essentials For Dummies is perfect for cramming or doing homework, or as a reference for parents helping kids study for exams. Get down to the basics — get a handle on the basics of geometry, from lines, segments, and angles, to vertices, altitudes, and diagonals Conquer proofs with confidence — follow easy–to–grasp instructions for understanding the components of a formal geometry proof Take triangles in strides — learn how to take in a triangle′s sides, analyze its angles, work through an SAS proof, and apply the Pythagorean Theorem Polish up on polygons — get the lowdown on quadrilaterals and other polygons: their angles, areas, properties, perimeters, and much more Open the book and find: Plain–English explanations of geometry terms Tips for tackling geometry proofs The seven members of the quadrilateral family Straight talk on circles Essential triangle formulas The lowdown on 3–D: spheres, cylinders, prisms, and pyramids Ten things to use as reasons in geometry proofs Learn to: Core concepts about the geometry of shapes and geometry proofs Critical theorems, postulates, and definitions The principles and formulas you need to know
This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes.
The SAGE Handbook of Performance Studies brings together, in a single volume, reviews of the major research in performance studies and identifies directions for further investigation. It is the only comprehensive collection on the theories, methods, politics, and practices of performance relating to life and culture. Edited by D. Soyini Madison and Judith Hamera, this Handbook serves scholars and students across the disciplines by delineating the scope of the field, the critical and interpretive methods used, and the theoretical and ethical presumptions that guide work in this exciting and growing area.
Showing 49–72 of 158 results