Book by Watkins David S
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
This new, modernized edition provides a clear and thorough introduction to matrix computations, a key component of scientific computing
Retaining the accessible and hands–on style of its predecessor, Fundamentals of Matrix Computations, Third Edition thoroughly details matrix computations and the accompanying theory alongside the author′s useful insights. The book presents the most important algorithms of numerical linear algebra and helps readers to understand how the algorithms are developed and why they work.
Along with new and updated examples, the Third Edition features:
Throughout the book, numerous new and updated exercises ranging from routine computations and verifications to challenging programming and proofs are provided, allowing readers to immediately engage in applying the presented concepts. The new edition also incorporates MATLAB to solve real–world problems in electrical circuits, mass–spring systems, and simple partial differential equations, and an index of MATLAB terms assists readers with understanding the basic concepts related to the software.
Fundamentals of Matrix Computations, Third Edition is an excellent book for courses on matrix computations and applied numerical linear algebra at the upper–undergraduate and graduate level. The book is also a valuable resource for researchers and practitioners working in the fields of engineering and computer science who need to know how to solve problems involving matrix computations.
A significantly revised and improved introduction to a critical aspect of scientific computation
Matrix computations lie at the heart of most scientific computational tasks. For any scientist or engineer doing large–scale simulations, an understanding of the topic is essential. Fundamentals of Matrix Computations, Second Edition explains matrix computations and the accompanying theory clearly and in detail, along with useful insights.
This Second Edition of a popular text has now been revised and improved to appeal to the needs of practicing scientists and graduate and advanced undergraduate students. New to this edition is the use of MATLAB for many of the exercises and examples, although the Fortran exercises in the First Edition have been kept for those who want to use them. This new edition includes:
∗ Numerous examples and exercises on applications including electrical circuits, elasticity (mass–spring systems), and simple partial differential equations
∗ Early introduction of the singular value decomposition
∗ A new chapter on iterative methods, including the powerful preconditioned conjugate–gradient method for solving symmetric, positive definite systems
∗ An introduction to new methods for solving large, sparse eigenvalue problems including the popular implicitly–restarted Arnoldi and Jacobi–Davidson methods
With in–depth discussions of such other topics as modern componentwise error analysis, reorthogonalization, and rank–one updates of the QR decomposition, Fundamentals of Matrix Computations, Second Edition will prove to be a versatile companion to novice and practicing mathematicians who seek mastery of matrix computation.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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