Matrix Algorithms Volume 1 Basic Decompositions~tqw~ darksiderg

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  Matrix Algorithms Volume 1 Basic Decompositions~tqw~ darksiderg
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  *******************************************************************************<br /> Matrix Algorithms Volume 1: Basic Decompositions <br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 23,197,661 bytes<br /> <br /> <br /> <br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> This thorough, concise, and superbly written volume is the first in a self-<br /> contained five-volume series devoted to matrix algorithms. It focuses on the <br /> computation of matrix decompositions-that is, the factorization of matrices into <br /> products of similar ones.<br /> <br /> The first two chapters provide the required background from mathematics and <br /> computer science needed to work effectively in matrix computations. The <br /> remaining chapters are devoted to the LU and QR decompositions-their computation <br /> and applications. The singular value decomposition is also treated, although <br /> algorithms for its computation will appear in the second volume of the series. <br /> The present volume contains 65 algorithms formally presented in pseudocode.<br /> <br /> Other volumes in the series will treat eigensystems, iterative methods, sparse <br /> matrices, and structured problems. The series is aimed at the nonspecialist who <br /> needs more than black-box proficiency with matrix computations. To give the <br /> series focus, the emphasis is on algorithms, their derivation, and their <br /> analysis.<br /> <br /> The reader is assumed to have a knowledge of elementary analysis and linear <br /> algebra and a reasonable amount of programming experience, typically that of the <br /> beginning graduate engineer or the undergraduate in an honors program. Strictly <br /> speaking, the individual volumes are not textbooks, although they are intended <br /> to teach, the guiding principle being that if something is worth explaining, it <br /> is worth explaining fully. This has necessarily restricted the scope of the <br /> series, but the selection of topics should give the reader a sound basis for <br /> further study. <br /> <br /> Table Of Contents<br /> <br /> Table of Contents<br /> <br /> Algorithms<br /> Notation<br /> Preface<br /> Chapter 1: Matrices, Algebra, and Analysis<br /> Chapter 2: Matrices and Machines<br /> Chapter 3: Gaussian Elimination<br /> Chapter 4: The QR Decomposition and Least Squares<br /> Chapter 5: Rank-Reducing Decompositions.<br /> References<br /> Index<br /> <br /> Product Details<br /> <br /> * ISBN: 0898714141<br /> * ISBN-13: 9780898714142<br /> * Format: Textbook Paperback, 458pp<br /> * Publisher: SIAM<br /> * Pub. Date: December 1998<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader
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