Akademibokhandeln
Constantine Pozrikidis - XML in Scientific Computing, Inbunden

Inbunden, Engelska, 2012

XML in Scientific Computing

Av Constantine Pozrikidis

4029 kr

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Beskrivning
While the extensible markup language (XML) has received a great deal of attention in web programming and software engineering, far less attention has been paid to XML in mainstream computational science and engineering. Correcting this imbalance, XML in Scientific Computing introduces XML to scientists and engineers in a way that illustrates the similarities and differences with traditional programming languages and suggests new ways of saving and sharing the results of scientific calculations. The author discusses XML in the context of scientific computing, demonstrates how the extensible stylesheet language (XSL) can be used to perform various calculations, and explains how to create and navigate through XML documents using traditional languages such as Fortran, C++, and MATLAB®. A suite of computer programs are available on the author’s website.
Produktinformation
  • Utgivningsdatum: 2012-09-17
  • Mått: 156 x 234 x 19 mm
  • Vikt: 510 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 260
  • Förlag: Taylor & Francis Inc
  • ISBN: 9781466512276
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Mer information

C. Pozrikidis is a professor at the University of Massachusetts, Amherst. He is well known for his contributions in fluid mechanics and biomechanics, applied mathematics, and scientific computing. He has published numerous research papers and is the author of eight books and the editor of two contributed volumes.

Recensioner i media

"The book is written in a clear and readable style. It can be recommended to anybody interested in scientific computing in the context of combining classical environments, like MATLAB(R), with the XML framework." -Jaroslav Pokorny, Zentralblatt MATH 1263 "Modern computational science and engineering address realistic multi-physics applications with complex data-driven parametric input. XML in Scientific Computing is the first of its kind to discuss the seamless integration of data and code. The text is written by one of the most authoritative researchers in computational science." -Professor George M. Karniadakis, Brown University

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