Scientific computing

Scientific computing

by Trangenstein, John A.

Type Book
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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 f…

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Title Statements

  • Full title :Scientific computing. / John A. Trangenstein.

Summary

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.

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Edition Statements

  • Publication Date:2017

Publication Statements

  • Publisher(s):Springer
  • Place of Publication:Cham
  • Language:eng
  • Publication Date:2017

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9783319691077, 3319691074
  • oclc:on1036748023
  • LC Classification:QA193
  • Dewey Decimal:512.9/436

Table of Contents

Eigenvalues and Eigenvectors -- Iterative linear algebra -- Nonlinear systems -- Constrained optimization.

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Subjects

Computer science -- Mathematics Differential calculus & equations eigenvalues Informatique -- Mathématiques Mathematical optimization MATHEMATICS -- Applied MATHEMATICS -- Counting & Numeration MATHEMATICS -- Differential Equations Numerical analysis Optimisation mathématique Optimization Valeurs propres

Writers

Trangenstein, John A.

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