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2nd edition. 554 pages. 9.50x6.25x1.25 inches. In Stock. Bestandsnummer des Verkäufers x-3031224329
This textbook provides an introduction to numerical computing and its applications in science and engineering. 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.
Über die Autorin bzw. den Autor: Mark Holmes is a Professor at Rensselaer Polytechnic Institute. His current research interests include mechanoreception and sleep-wake cycles. Professor Holmes has three published books in Springer's Texts in Applied Mathematics series: Introduction to Perturbation Methods, Introduction to the Foundations of Applied Mathematics, and Introduction to Numerical Methods in Differential Equations.
Titel: Introduction to Scientific Computing and ...
Verlag: Springer Nature
Erscheinungsdatum: 2024
Einband: Paperback
Zustand: Brand New
Auflage: 2. Auflage
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Introduction to Scientific Computing and Data Analysis | Mark H. Holmes | Taschenbuch | xvi | Englisch | 2024 | Springer | EAN 9783031224324 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 129657139
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 572 pp. Englisch. Artikel-Nr. 9783031224324
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides an 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 codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra. Artikel-Nr. 9783031224324
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