Introduction to scientific computing and data analysis / Mark H. Holmes.
Material type: TextSeries: Texts in Computational Science and Engineering ; Volume 13Publisher: New York, NY : Springer Science+Business Media, 2016Description: 1 online resource (xiv, 497 pages) : illustrations (some color)Content type:- text
- computer
- online resource
- 9783319302546
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
E-Resources | Main Library E-Resources | 502.85 H749 (Browse shelf(Opens below)) | Available | E001956 |
Includes bibliographical references.
Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis.
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 optimisation 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.
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