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Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations

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Scientific Computing - Vol. III - Approximation and Integration (Hardcover, 1st ed. 2017) Loot Price: R1,424
Discovery Miles 14 240
You Save: R913 (39%)
Scientific Computing - Vol. III - Approximation and Integration (Hardcover, 1st ed. 2017): John A. Trangenstein

Scientific Computing - Vol. III - Approximation and Integration (Hardcover, 1st ed. 2017)

John A. Trangenstein

Series: Texts in Computational Science and Engineering, 20

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List price R2,337 Loot Price R1,424 Discovery Miles 14 240 | Repayment Terms: R133 pm x 12* You Save R913 (39%)

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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 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, 20
Release date: May 2018
First published: 2017
Authors: John A. Trangenstein
Dimensions: 235 x 155 x 40mm (L x W x T)
Format: Hardcover
Pages: 592
Edition: 1st ed. 2017
ISBN-13: 978-3-319-69109-1
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
LSN: 3-319-69109-0
Barcode: 9783319691091

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