Scientific Computing: Vol. II - Eigenvalues and Optimization - Texts in Computational Science and Engineering 19 (Hardback)John A. Trangenstein (author)
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Topics are introduced with goals, literature references and links to public software. There are descriptions of the current algorithms in LAPACK, GSLIB and MATLAB.
This book could be used for a second course in numerical methods, for either upper level undergraduates or first year graduate students. Parts of the text could be used for specialized courses, such as nonlinear optimization or iterative linear algebra.
Publisher: Springer International Publishing AG
Number of pages: 600
Weight: 1099 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2017