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Cover image for C/C++ mathematical algorithms for scientists and engineers
Title:
C/C++ mathematical algorithms for scientists and engineers
Publication Information:
New York : McGraw-Hill, 1995
Physical Description:
1 computer disk ; 3 1/2 in
ISBN:
9780079120045
General Note:
Accompanies text with the same title (QA297.S52 1995)

Available:*

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Item Category 1
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30000003352139 DSK 1052 Open Access Computer File Diskette (Open Shelves)
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30000003352147 DSK 1052 Open Access Computer File Diskette (Open Shelves)
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On Order

Summary

Summary

Provides mathematical routines for analyzing complex numerical data, offering code written in C, with C++ extensions, for solving linear and nonlinear equations; interpolation; differentiation; integration; optimization of single variable and multivariable functions; linear regressions; and multiple and polynomial regression. Includes libraries for common mathematical and statistical functions, pseudo- code for the algorithms used to implement the various methods, and information on basic statistics and ANOVA tests. Annotation copyright by Book News, Inc., Portland, OR


Reviews 1

Choice Review

Shammas's resource book is designed specifically for scientific and numerical information processing. It holds an extensive array of recipes for performing many of the computations required to deliver software for solving scientific problems of a mathematical nature. Computations for both numerical analysis and statistical methods are covered. Chapters group information into the usual breakdown and progression that students will encounter in a course of mathematical study. Among the topics included are linear and nonlinear equations, interpolation, numerical differentiation and integration, and linear and polynomial regressions. Each chapter and topic contains a complete C or C++ encoding of the algorithms, and the accompanying disk contains all of the code presented. The focus is not to teach numerical methods but, instead, to provide someone having a working knowledge of mathematics and statistics with a resource for applying that knowledge. As such, this book is most relevant to those within upper-division undergraduate through graduate levels. F. H. Wild III; University of Rhode Island


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