Introduction to scientific computing and data analysis
- 作者： Holmes, Mark H., author.
- 其他作者：
- 其他題名：
- Texts in computational science and engineering ;
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Texts in computational science and engineering,13
- 主題： Science--Data processing. , Quantitative research. , Mathematics. , Computational Science and Engineering. , Optimization. , Partial Differential Equations.
- ISBN： 9783319302560 (electronic bk.) 、 9783319302546 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization -- Data Analysis -- Appendices.
- 摘要註: 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.
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讀者標籤：
- 系統號： 005361465 | 機讀編目格式
館藏資訊
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.