| 書(shū)目名稱 | Extraction of Quantifiable Information from Complex Systems |
| 編輯 | Stephan Dahlke,Wolfgang Dahmen,Harry Yserentant |
| 視頻video | http://file.papertrans.cn/320/319965/319965.mp4 |
| 叢書(shū)名稱 | Lecture Notes in Computational Science and Engineering |
| 圖書(shū)封面 |  |
| 描述 | In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 “Mathematical Methods for Extracting Quantifiable Information from Complex Systems.” This volume presents a comprehensive overview of the most important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challeng |
| 出版日期 | Book 2014 |
| 關(guān)鍵詞 | complex systems; computational stochastics; high-dimensional problems; numerical analysis; partial diffe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-08159-5 |
| isbn_softcover | 978-3-319-34601-4 |
| isbn_ebook | 978-3-319-08159-5Series ISSN 1439-7358 Series E-ISSN 2197-7100 |
| issn_series | 1439-7358 |
| copyright | Springer International Publishing Switzerland 2014 |
|Archiver|手機(jī)版|小黑屋|
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