| 書目名稱 | Modern Software Tools for Scientific Computing | | 編輯 | Erlend Arge,Are Magnus Bruaset,Hans Petter Langtan | | 視頻video | http://file.papertrans.cn/638/637403/637403.mp4 | | 概述 | Includes supplementary material: | | 圖書封面 |  | | 描述 | Looking back at the years that have passed since the realization of the very first electronic, multi-purpose computers, one observes a tremendous growth in hardware and software performance. Today, researchers and engi- neers have access to computing power and software that can solve numerical problems which are not fully understood in terms of existing mathemati- cal theory. Thus, computational sciences must in many respects be viewed as experimental disciplines. As a consequence, there is a demand for high- quality, flexible software that allows, and even encourages, experimentation with alternative numerical strategies and mathematical models. Extensibil- ity is then a key issue; the software must provide an efficient environment for incorporation of new methods and models that will be required in fu- ture problem scenarios. The development of such kind of flexible software is a challenging and expensive task. One way to achieve these goals is to in- vest much work in the design and implementation of generic software tools which can be used in a wide range of application fields. In order to provide a forum where researchers could present and discuss their contributions to the de | | 出版日期 | Book 1997 | | 關(guān)鍵詞 | Debugging; FORTRAN; Splines; calculus; data structures; design; development; geometry; mathematics; modeling; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-1986-6 | | isbn_softcover | 978-1-4612-7368-4 | | isbn_ebook | 978-1-4612-1986-6 | | copyright | Springer Science+Business Media New York 1997 |
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