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Numerical linear algebra with applications : using MATLAB

By: Ford, William.
Publisher: Amsterdam : Academic Press, 2015Description: xxvi, 602 p. ; ill., 30 cm.ISBN: 9780123944351.Subject(s): MATLAB | Algebras, Linear | Numerical calculations | Mathematics | Back substitution | Cauchy-Schwarz inequality | Cramer's rule | Classical Jacobi method | Power method | Kirchhoff's law | Francis algorithm | Tridiagonal matrix | Underdetermined system | Vandermonde matrix | Krybv subspace methods | Gram-Schmilt orthonormalization | Wilkinson | Chebyshev polynomialsDDC classification: 512.5 Summary: Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a graduate course on numerical linear algebra and numerous applications to engineering and science used in industry. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for those who want to learn to solve linear algebra problems using MATLAB, and offers a thorough explanation of the issues and methods for practical computation, avoiding an extensive theorem-proof type of exposition for practical use.
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Books 512.5 FOR (Browse shelf) Available 032572

Includes bibliographical references and index.

Designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, Numerical Linear Algebra with Applications contains all the material necessary for a graduate course on numerical linear algebra and numerous applications to engineering and science used in industry. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is ideal for solving real-world problems. It provides necessary mathematical background information for those who want to learn to solve linear algebra problems using MATLAB, and offers a thorough explanation of the issues and methods for practical computation, avoiding an extensive theorem-proof type of exposition for practical use.

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