Introduction to Scientific Computing and Data Analysis by Holmes, Mark H.

Introduction to Scientific Computing and Data Analysis

This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics...
BD$157.91 BMD
BD$157.91 BMD
SKU: 9783319807621
Product Type: Books
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Author: Mark H. Holmes
Format: Paperback
Language: English
Subtotal: BD$157.91
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Introduction to Scientific Computing and Data Analysis by Holmes, Mark H.

Introduction to Scientific Computing and Data Analysis

BD$157.91

Introduction to Scientific Computing and Data Analysis

BD$157.91
Author: Mark H. Holmes
Format: Paperback
Language: English
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: Mark H. Holmes
Publisher: Springer
Published: 05/31/2018
Pages: 497
Binding Type: Paperback
Weight: 1.60lbs
Size: 9.02h x 6.00w x 0.02d
ISBN: 9783319807621

About the Author
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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