9783030098728 - scientific computing: vol. iii - approximation and integration (texts in computational science and engineering, 20, band 3) von trangenstein, john a. (2 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2018
Serie: Buch 21 von 29 - Texts in Computational Science and Engineering
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 63,85
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Taschenbuch. Zustand: Neu. Scientific Computing | Vol. III - Approximation and Integration | John A. Trangenstein | Taschenbuch | Texts in Computational Science and Engineering | xxv | Englisch | 2018 | Springer | EAN 9783030098728 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2018
Serie: Buch 21 von 29 - Texts in Computational Science and Engineering
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 69,54
EUR 64,63 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 different…ial 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.
