| 书目名称 | The Design and Analysis of Computer Experiments |
| 编辑 | Thomas J. Santner,Brian J. Williams,William I. Not |
| 视频video | http://file.papertrans.cn/908/907364/907364.mp4 |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | In the past 15 to 20 years, the computer has become a popular tool for exploring the relationship between a measured response and factors thought to affect the response. In many cases, scientific theories exist that implicitly relate the response to the factors by means of systems of mathematical equations. There also exist numerical methods for accurately solving such equations and appropriate computer hardware and software to implement these methods. In many engineering applications, for example, the relationship is described by a dynamical system and the numerical method is a finite element code. In such situations, these numerical methods allow one to produce computer code that can generate the response corresponding to any given set of values of the factors. This allows one to conduct an "experiment" (called a "computer experiment") to explore the relationship between the response and the factors using the code. Indeed, in some cases computer experimentation is feasible when a properly designed physical experiment (the gold standard for establishing cause and effect) is impossible. For example, the number of input variables may be too large to consider performing a physical ex |
| 出版日期 | Book 20031st edition |
| 关键词 | Analysis; Bit; Notation; Symbol; Variable; code; information; numerical methods |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4757-3799-8 |
| isbn_softcover | 978-1-4419-2992-1 |
| isbn_ebook | 978-1-4757-3799-8Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer Science+Business Media New York 2003 |
|Archiver|手机版|小黑屋|
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