國立虎尾科技大學 |

Introduction to scientific computing and data analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Introduction to scientific computing and data analysis/ by Mark H. Holmes.
作者:	Holmes, Mark H.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xiv, 497 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Science - Data processing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-30256-0
ISBN:	9783319302560

Introduction to scientific computing and data analysis
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:

528623
Science
--Data processing.

LC Class. No.: Q183.9

Dewey Class. No.: 502.85

Introduction to scientific computing and data analysis
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