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Numerical Methods in Matrix Computations / by Åke Björck.

By: Material type: TextTextSeries: Texts in Applied Mathematics ; 59Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: 1 online resource (XVI, 800 pages 45 illustrations, 26 illustrations in color.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319050898
Subject(s): Additional physical formats: Print version:: Numerical methods in matrix computations.; Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 518 23
Contents:
Direct Methods for Linear Systems -- Linear Least Squares Problems -- Matrix Eigenvalue Problems -- Iterative Methods.
Summary: 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. Åke Björck is a professor emeritus at the Department of Mathematics, Linköping University. He is a Fellow of the Society of Industrial and Applied Mathematics.p>.
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Item type Current library Home library Collection Call number Status Date due Barcode
Book Book Dept. of Mathematics Processing Center Dept. of Mathematics Reference 519.4 BJO.M (Browse shelf(Opens below)) Available MAT7088

Direct Methods for Linear Systems -- Linear Least Squares Problems -- Matrix Eigenvalue Problems -- Iterative Methods.

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. Åke Björck is a professor emeritus at the Department of Mathematics, Linköping University. He is a Fellow of the Society of Industrial and Applied Mathematics.p>.

Description based on publisher-supplied MARC data.

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