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Introduction to Matrix Computations (Computer Science and Applied Mathematics)

Introduction to Matrix Computations (Computer Science and Applied Mathematics)

Introduction to Matrix Computations (Computer Science and Applied Mathematics)
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Introduction to Matrix Computations (Computer Science and Applied Mathematics) Hardback - 1973

by Stewart, G. W

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Academic Press, 1973-06-11. Hardcover. Acceptable. 6x1x9.
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Details

  • Title Introduction to Matrix Computations (Computer Science and Applied Mathematics)
  • Author Stewart, G. W
  • Binding Hardback
  • Edition US edition
  • Condition Used - Acceptable
  • Pages 441
  • Volumes 1
  • Language ENG
  • Publisher Academic Press, Orlando, FL, U.S.A.
  • Publication date 1973-06-11
  • Bookseller's Inventory # 0126703507-4-26033384
  • ISBN 9780126703504 / 0126703507
  • Weight 1.72 lbs (0.78 kg)
  • Dimensions 9 x 6 x 1 in (22.86 x 15.24 x 2.54 cm)
  • Size 6x1x9
  • Category Mathematics
  • Library of Congress subjects Matrices - Data processing
  • Library of Congress Catalogue Number 72082636
  • Dewey Decimal Code 512.943
  • Quantity available 1

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Reader reviews for Introduction to Matrix Computations (Computer Science and Applied Mathematics)

From the publisher

Numerical linear algebra is far too broad a subject to treat in a single introductory volume. Stewart has chosen to treat algorithms for solving linear systems, linear least squares problems, and eigenvalue problems involving matrices whose elements can all be contained in the high-speed storage of a computer. By way of theory, the author has chosen to discuss the theory of norms and perturbation theory for linear systems and for the algebraic eigenvalue problem. These choices exclude, among other things, the solution of large sparse linear systems by direct and iterative methods, linear programming, and the useful Perron-Frobenious theory and its extensions. However, a person who has fully mastered the material in this book should be well prepared for independent study in other areas of numerical linear algebra.
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