| 書(shū)目名稱 | Introduction to Scientific Computing and Data Analysis |
| 編輯 | Mark H. Holmes |
| 視頻video | http://file.papertrans.cn/475/474149/474149.mp4 |
| 概述 | MATLAB codes used for all of the numerical methods are available from author‘s website.Extensive coverage of optimization methods including regression, both principal and independent component analysi |
| 叢書(shū)名稱 | Texts in Computational Science and Engineering |
| 圖書(shū)封面 |  |
| 描述 | 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.. |
| 出版日期 | Textbook 20161st edition |
| 關(guān)鍵詞 | Scientific Computing; Data Analysis; Optimization; Interpolation; Nonlinear Equations; Numerical Linear A |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-30256-0 |
| isbn_softcover | 978-3-319-80762-1 |
| isbn_ebook | 978-3-319-30256-0Series ISSN 1611-0994 Series E-ISSN 2197-179X |
| issn_series | 1611-0994 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手機(jī)版|小黑屋|
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