Fundamentals of Matrix Computations
David S. Watkins
Sold by Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
AbeBooks Seller since February 27, 2001
New - Hardcover
Condition: New
Quantity: Over 20 available
Add to basketSold by Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
AbeBooks Seller since February 27, 2001
Condition: New
Quantity: Over 20 available
Add to basket* This Third Edition explains how to perform matrix computations efficiently and accurately by providing a detailed introduction to the fundamental ideas of numerical linear algebra and utilizes MATLAB(R) to perform elaborate computational experiments. Series: Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts. Num Pages: 664 pages, Illustrations. BIC Classification: PBF. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 169 x 40. Weight in Grams: 1062. . 2010. 3rd Edition. Hardcover. . . . .
Seller Inventory # V9780470528334
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.
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