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Numerical Methods in Matrix Computations (Texts in Applied Mathematics (59))

Numerical Methods in Matrix Computations (Texts in Applied Mathematics (59))

Numerical Methods in Matrix Computations (Texts in Applied Mathematics (59))
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Numerical Methods in Matrix Computations (Texts in Applied Mathematics (59)) Hardback - 2014

by Bj

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Springer, 2014-10-20. 2015. hardcover. Used: Good. 6.14x1.69x9.21. Buy with confidence. Excellent Customer Service & Return policy.
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Reader reviews for Numerical Methods in Matrix Computations (Texts in Applied Mathematics (59))

From the publisher

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given.

Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers as well as recent research papers. This makes the book useful also as a reference and guide to further study and research work.

From the rear cover

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given.

Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers as well as recent research papers. This makes the book useful also as a reference and guide to further study and research work.

ke Bjrck is a professor emeritus at the Department of Mathematics, Linkping University. He is a Fellow of the Society of Industrial and Applied Mathematics.p>

About the author

ke Bjrck is professor emeritus at Linkping University Sweden. He is the coauthor of several textbooks on numerical methods and a monograph and several papers on least squares methods. He has been visiting professor at Stanford University and University of Southern California.

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