| 书目名称 | Model Based Parameter Estimation |
| 副标题 | Theory and Applicati |
| 编辑 | Hans Georg Bock,Thomas Carraro,Johannes P. Schlöde |
| 视频video | http://file.papertrans.cn/636/635719/635719.mp4 |
| 概述 | Overview of state-of-the-art methods for model based parameter estimation.Applications for several scientific disciplines: biology, medicine, chemistry, electrochemistry, environmental physics, image |
| 丛书名称 | Contributions in Mathematical and Computational Sciences |
| 图书封面 |  |
| 描述 | .This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine, chemistry, environmental physics, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensable efficient methods of applied mathematics and computer-based modeling can be to enhancing the quality of interdisciplinary research.. .The use of scientific computing to model, simulate, and optimize complex processes has become a standard methodology in many scientific fields, as well as in industry. Demonstrating that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book provides advanced numerical methods and the very latest results for the applications under consideration.. |
| 出版日期 | Book 2013 |
| 关键词 | dynamic process models; modeling of processes in natural and life sciences; optimal experimental desig |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-30367-8 |
| isbn_softcover | 978-3-642-44076-2 |
| isbn_ebook | 978-3-642-30367-8Series ISSN 2191-303X Series E-ISSN 2191-3048 |
| issn_series | 2191-303X |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
|Archiver|手机版|小黑屋|
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