Student Solutions Manual, Matrix Methods
Author: Richard Bronson
Publisher: Elsevier
Published: 2008-11-21
Total Pages: 312
ISBN-13: 0080952178
DOWNLOAD EBOOK →Student Solutions Manual, Matrix Methods
Author: Richard Bronson
Publisher: Elsevier
Published: 2008-11-21
Total Pages: 312
ISBN-13: 0080952178
DOWNLOAD EBOOK →Student Solutions Manual, Matrix Methods
Author: Kenneth Franklin Riley
Publisher: Cambridge University Press
Published: 2006
Total Pages: 550
ISBN-13: 9780521679732
DOWNLOAD EBOOK →The authors present a wide-ranging and comprehensive textbook for physical scientists who need to use the tools of mathematics for practical purposes
Author: Stephen Andrilli
Publisher: Academic Press
Published: 2010-03-13
Total Pages: 300
ISBN-13: 0123814561
DOWNLOAD EBOOK →Elementary Linear Algebra, Students Solutions Manual
Author: Stephen Andrilli
Publisher: Elsevier
Published: 2010-04-24
Total Pages: 301
ISBN-13: 0123814553
DOWNLOAD EBOOK →Author: Dirk P. Kroese
Publisher: John Wiley & Sons
Published: 2012-01-20
Total Pages: 204
ISBN-13: 0470285303
DOWNLOAD EBOOK →This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB® programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.
Author: Peter J. Olver
Publisher: Springer
Published: 2018-05-30
Total Pages: 679
ISBN-13: 3319910418
DOWNLOAD EBOOK →This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency needed to go on to further study, but an appreciation for when, why, and how the tools of linear algebra can be used across modern applied mathematics. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. Throughout, the text emphasizes the conceptual connections between each application and the underlying linear algebraic techniques, thereby enabling students not only to learn how to apply the mathematical tools in routine contexts, but also to understand what is required to adapt to unusual or emerging problems. No previous knowledge of linear algebra is needed to approach this text, with single-variable calculus as the only formal prerequisite. However, the reader will need to draw upon some mathematical maturity to engage in the increasing abstraction inherent to the subject. Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. The first author’s text, Introduction to Partial Differential Equations, is an ideal companion volume, forming a natural extension of the linear mathematical methods developed here.
Author: Lawrence E. Spence
Publisher:
Published: 2013-07-29
Total Pages: 632
ISBN-13: 9781292025032
DOWNLOAD EBOOK →For a sophomore-level course in Linear Algebra. Based on the recommendations of the Linear Algebra Curriculum Study Group, this introduction to linear algebra offers a matrix-oriented approach with more emphasis on problem solving and applications. Throughout the text, use of technology is encouraged. The focus is on matrix arithmetic, systems of linear equations, properties of Euclidean n-space, eigenvalues and eigenvectors, and orthogonality. Although matrix-oriented, the text provides a solid coverage of vector spaces.
Author: Richard Bronson
Publisher: Academic Press
Published: 2014-05-10
Total Pages: 301
ISBN-13: 1483216616
DOWNLOAD EBOOK →Matrix Methods: An Introduction is a nine-chapter text that emphasizes the methodological aspects of mathematical matrices. This book is intended for an introductory course in matrices similar to those given to sophomore and junior engineering students at Fairleigh Dickinson University. The first five chapters deal with the elementary aspects of matrices, including their definition, determinants, method of inversion, simultaneous linear equations, eigenvalues, and eigenvectors. The remaining chapters explore the materials of fundamental importance to both engineers and scientists. These chapters discuss the principles of matrix calculus, linear differential equations, Jordan canonical forms, and special matrices. A set of exercises is provided at the end of each section, which is basically routine in nature and serves primarily to enhance the reader's ability to use the methods just presented. On occasion, problems are assigned that will extend or complete topics previously introduced. This book is intended primarily for science, engineering, and applied mathematics students.