Introduction to Scientific Computing and Data Analysis -

Introduction to Scientific Computing and Data Analysis

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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.

Product code: 9783319302546

ISBN 9783319302546
Dimensions (HxWxD in mm) H235xW155
Series Texts in Computational Science and Engineering
No. Of Pages 497
Publisher Springer International Publishing AG
Edition 1st ed. 2016
This textbook provides and 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.