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Introduction to Computational Linear Algebra

By: Bernard Philippe (Author) , Jocelyne Erhel (Author) , Nabil Nassif (Author)

Manufacture on Demand

Ksh 22,800.00

Format: Hardback or Cased Book

ISBN-10: 1482258692

ISBN-13: 9781482258691

Publisher: Taylor & Francis Inc

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jun 26th, 2015

Publication Status: Active

Product extent: 262 Pages

Weight: 532.00 grams

Dimensions (height x width x thickness): 24.50 x 16.20 x 1.80 cms

Product Classification / Subject(s): Number systems
Algebra

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This text presents classroom-tested material on computational linear algebra and its application to numerical solutions of PDEs and ODEs. It covers the fundamentals needed in numerical linear algebra and describes many methods for solving a range of linear equations. The book expresses the numerical methods using pseudo-code or a detailed MATLAB® program. Numerous exercises and computer projects test students’ understanding of the mathematics of numerical methods and the art of computer programming.

Teach Your Students Both the Mathematics of Numerical Methods and the Art of Computer Programming

Introduction to Computational Linear Algebra presents classroom-tested material on computational linear algebra and its application to numerical solutions of partial and ordinary differential equations. The book is designed for senior undergraduate students in mathematics and engineering as well as first-year graduate students in engineering and computational science.

The text first introduces BLAS operations of types 1, 2, and 3 adapted to a scientific computer environment, specifically MATLAB®. It next covers the basic mathematical tools needed in numerical linear algebra and discusses classical material on Gauss decompositions as well as LU and Cholesky’s factorizations of matrices. The text then shows how to solve linear least squares problems, provides a detailed numerical treatment of the algebraic eigenvalue problem, and discusses (indirect) iterative methods to solve a system of linear equations. The final chapter illustrates how to solve discretized sparse systems of linear equations. Each chapter ends with exercises and computer projects.


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