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Numerical Linear Algebra: Theory and Applications (Hardcover, 1st ed. 2017)
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Numerical Linear Algebra: Theory and Applications (Hardcover, 1st ed. 2017)
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This book combines a solid theoretical background in linear algebra
with practical algorithms for numerical solution of linear algebra
problems. Developed from a number of courses taught repeatedly by
the authors, the material covers topics like matrix algebra, theory
for linear systems of equations, spectral theory, vector and matrix
norms combined with main direct and iterative numerical methods,
least squares problems, and eigenproblems. Numerical algorithms
illustrated by computer programs written in MATLAB (R) are also
provided as supplementary material on SpringerLink to give the
reader a better understanding of professional numerical software
for the solution of real-life problems. Perfect for a one- or
two-semester course on numerical linear algebra, matrix
computation, and large sparse matrices, this text will interest
students at the advanced undergraduate or graduate level.
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