Description

Book Synopsis
This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems. The book also includes a chapter on the fast Fourier transform and a very practical introduction to the solution of linear algebra problems on modern supercomputers.The book contains the relevant theory for most of the methods employed. It also emphasizes the practical aspects involved in implementing the methods. Students using this book will actually see and write programs for solving linear algebraic problems. Highly readable FORTRAN and MATLAB codes are presented which solve all of the main problems studied.

Table of Contents
Reference Materials; Systems of Linear Equations; Linear Least Squares Problems; The Eigenvalue Problem; Linear Programming; The Fast Fourier Transform; Linear Algebra on Supercomputers;

Computational Methods Of Linear Algebra (3rd

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    A Hardback by Granville Sewell

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      View other formats and editions of Computational Methods Of Linear Algebra (3rd by Granville Sewell

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 28/08/2014
      ISBN13: 9789814603850, 978-9814603850
      ISBN10: 9814603856

      Description

      Book Synopsis
      This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least squares problems, eigenvalue problems, and linear programming problems. The book also includes a chapter on the fast Fourier transform and a very practical introduction to the solution of linear algebra problems on modern supercomputers.The book contains the relevant theory for most of the methods employed. It also emphasizes the practical aspects involved in implementing the methods. Students using this book will actually see and write programs for solving linear algebraic problems. Highly readable FORTRAN and MATLAB codes are presented which solve all of the main problems studied.

      Table of Contents
      Reference Materials; Systems of Linear Equations; Linear Least Squares Problems; The Eigenvalue Problem; Linear Programming; The Fast Fourier Transform; Linear Algebra on Supercomputers;

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