Scientific Computing - Vol. III
Language: English
Published by Springer International Publishing, 2018
Series: Book 21 of 29 - Texts in Computational Science and Engineering
- Hardcover
- New
Condition: New
£ 70.25
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. John Trangenstein is Professor of Mathematics Emeritus at Duke University in Durham North Carolina. He was a professor at Duke from 1991 to 2011. Previously he was a Mathematician in the Applied Mathematics Group at Lawrence Livermore National Laboratory fr.
Seller Inventory # 166901242
- Title
- Scientific Computing - Vol. III
- Author
- John A. Trangenstein
- Publisher
- Springer International Publishing
- Publication year
- 2018
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3319691090
- ISBN 13
- 9783319691091
- Series
- Book 21 of 29: Texts in Computational Science and Engineering
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
This is the third of three volumes providing a comprehensive presentation of the fundamentals of scientific computing. This volume discusses topics that depend more on calculus than linear algebra, in order to prepare the reader for solving differential equations. 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 90 examples, 200 exercises, 36 algorithms, 40 interactive JavaScript programs, 91 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 GSLIB and MATLAB.This book could be usedfor 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.
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About the Author
"About the title" may belong to another edition of this title.
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