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Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering) - Softcover
Inhaltsangabe
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.
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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.
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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.
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering, 13)
ISBN 10: 3319807625
ISBN 13: 9783319807621
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering, 13)
ISBN 10: 3319807625
ISBN 13: 9783319807621
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Introduction to Scientific Computing and Data Analysis
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ISBN 10: 3319807625
ISBN 13: 9783319807621
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Introduction to Scientific Computing and Data Analysis
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Springer International Publishing, 2018
ISBN 10: 3319807625
ISBN 13: 9783319807621
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Introduction to Scientific Computing and Data Analysis
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ISBN 10: 3319807625
ISBN 13: 9783319807621
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783319807621
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Introduction to Scientific Computing and Data Analysis
ISBN 10: 3319807625
ISBN 13: 9783319807621
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Taschenbuch. Zustand: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 512 pp. Englisch. Bestandsnummer des Verkäufers 9783319807621
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Introduction to Scientific Computing and Data Analysis
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Springer International Publishing Mai 2018, 2018
ISBN 10: 3319807625
ISBN 13: 9783319807621
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783319807621
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Introduction to Scientific Computing and Data Analysis (Texts in Computational Science and Engineering, 13)
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