Handbook of Numerical Methods for Hyperbolic Problems

Applied and Modern Issues

Nonfiction, Science & Nature, Mathematics
Cover of the book Handbook of Numerical Methods for Hyperbolic Problems by Roland Glowinski, Qiang Du, Michael Hintermüller, Endre Suli, Elsevier Science
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Author: Roland Glowinski, Qiang Du, Michael Hintermüller, Endre Suli ISBN: 9780444639110
Publisher: Elsevier Science Publication: January 16, 2017
Imprint: North Holland Language: English
Author: Roland Glowinski, Qiang Du, Michael Hintermüller, Endre Suli
ISBN: 9780444639110
Publisher: Elsevier Science
Publication: January 16, 2017
Imprint: North Holland
Language: English

Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and become familiar with their relative advantages and limitations.

  • Provides detailed, cutting-edge background explanations of existing algorithms and their analysis
  • Presents a method of different algorithms for specific applications and the relative advantages and limitations of different algorithms for engineers or those involved in applications
  • Written by leading subject experts in each field, the volumes provide breadth and depth of content coverage
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different situations and become familiar with their relative advantages and limitations.

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