Scientific Computing - Vol. II - Eigenvalues and Optimization (Hardcover, 1st ed. 2017)

This is the second of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses more advanced topics than volume one, and is largely not a prerequisite for volume three. This book and its companions show how to determine the quality of computational results, and how to measure the relative efficiency of competing methods. Readers learn how to determine the maximum attainable accuracy of algorithms, and how to select the best method for computing problems. This book also discusses programming in several languages, including C++, Fortran and MATLAB. There are 49 examples, 110 exercises, 66 algorithms, 24 interactive JavaScript programs, 77 references to software programs and 1 case study. 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Texts in Computational Science and Engineering, 19
Release date:	May 2018
First published:	2017
Authors:	John A. Trangenstein
Dimensions:	235 x 155 x 41mm (L x W x T)
Format:	Hardcover
Pages:	600
Edition:	1st ed. 2017
ISBN-13:	978-3-319-69106-0
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Optimization > General Promotions
LSN:	3-319-69106-6
Barcode:	9783319691060

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