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Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering, 13) - Softcover

 
9783319807621: Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering, 13)
  • PublisherSpringer
  • Publication date2018
  • ISBN 10 3319807625
  • ISBN 13 9783319807621
  • BindingPaperback
  • LanguageEnglish
  • Number of pages511

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9783319302546: Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering, 13)

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Condition: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Außen: verschmutzt, angestoßen. Innen: Geknickt. | Seiten: 512 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 29627599/3

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink. 512 pp. Englisch. Seller Inventory # 9783319807621

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author's website and SpringerLink. Seller Inventory # 9783319807621

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