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Introduction to scientific computing...

Holmes, Mark H.

Introduction to scientific computing and data analysis[electronic resource] /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	502.85
[NT 47271] Title/Author:	Introduction to scientific computing and data analysis/ by Mark H. Holmes.
作者:	Holmes, Mark H.
出版者:	Cham : : Springer International Publishing :, 2016.
面页册数:	xiv, 497 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
标题:	Science - Data processing.
标题:	Quantitative research.
标题:	Mathematics.
标题:	Computational Science and Engineering.
标题:	Optimization.
标题:	Partial Differential Equations.
ISBN:	9783319302560
ISBN:	9783319302546
[NT 15000228] null:	Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.
[NT 15000229] null:	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.
电子资源:	http://dx.doi.org/10.1007/978-3-319-30256-0

Introduction to scientific computing and data analysis[electronic resource] /
Holmes, Mark H.

Introduction to scientific computing and data analysis[electronic resource] /by Mark H. Holmes. - Cham :Springer International Publishing :2016. - xiv, 497 p. :ill. (some col.), digital ;24 cm. - Texts in computational science and engineering,131611-0994 ;. - Texts in computational science and engineering ;6..

Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.

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.

ISBN: 9783319302560

Standard No.: 10.1007/978-3-319-30256-0doiSubjects--Topical Terms:

466953
Science
--Data processing.

LC Class. No.: Q183.9

Dewey Class. No.: 502.85

Introduction to scientific computing and data analysis[electronic resource] /
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505 0 $a Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.
520 $a 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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650 0 $a Quantitative research. $3 466313
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650 2 4 $a Optimization. $3 463683
650 2 4 $a Partial Differential Equations. $3 464931
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950 $a Mathematics and Statistics (Springer-11649)

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