| 書目名稱 | Topics in Industrial Mathematics | | 副標(biāo)題 | Case Studies and Rel | | 編輯 | Helmut Neunzert,Abul Hasan Siddiqi | | 視頻video | http://file.papertrans.cn/927/926195/926195.mp4 | | 叢書名稱 | Applied Optimization | | 圖書封面 |  | | 描述 | Industrial Mathematics is a relatively recent discipline. It is concerned primarily with transforming technical, organizational and economic problems posed by indus- try into mathematical problems; "solving" these problems byapproximative methods of analytical and/or numerical nature; and finally reinterpreting the results in terms of the original problems. In short, industrial mathematics is modelling and scientific computing of industrial problems. Industrial mathematicians are bridge-builders: they build bridges from the field of mathematics to the practical world; to do that they need to know about both sides, the problems from the companies and ideas and methods from mathematics. As mathematicians, they have to be generalists. If you enter the world of indus- try, you never know which kind of problems you will encounter, and which kind of mathematical concepts and methods you will need to solve them. Hence, to be a good "industrial mathematician" you need to know a good deal of mathematics as well as ideas already common in engineering and modern mathematics with tremen- dous potential for application. Mathematical concepts like wavelets, pseudorandom numbers, inverse problems | | 出版日期 | Book 2000 | | 關(guān)鍵詞 | Mathematica; Monte Carlo method; Wavelet; algorithm; algorithms; calculus; derivative; finite element metho | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-3222-1 | | isbn_softcover | 978-1-4419-4833-5 | | isbn_ebook | 978-1-4757-3222-1Series ISSN 1384-6485 | | issn_series | 1384-6485 | | copyright | Springer-Verlag US 2000 |
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