| 書目名稱 | Model Based Parameter Estimation | | 副標(biāo)題 | Theory and Applicati | | 編輯 | Hans Georg Bock,Thomas Carraro,Johannes P. Schl?de | | 視頻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 | | 叢書名稱 | Contributions in Mathematical and Computational Sciences | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-8 02:38
發(fā)表于 2025-3-21 16:30:58
