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Introduction to Scientific Computing and Data Analysis

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Introduction to Scientific Computing and Data Analysis

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Description

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.

Author Biography:

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.
Release date NZ
June 10th, 2016
Author
Audience
  • Professional & Vocational
Edition
1st ed. 2016
Illustrations
136 Tables, color; 138 Illustrations, color; 39 Illustrations, black and white; XIV, 497 p. 177 illus., 138 illus. in color.
Pages
497
Dimensions
155x235x33
ISBN-13
9783319302546
Product ID
24564137

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