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Titlebook: Large Scale Scientific Computing; P. Deuflhard,B. Engquist Book 1987 Birkhäuser Boston 1987 Mathematica.algorithms.boundary element method

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发表于 2025-3-21 18:05:30 | 显示全部楼层 |阅读模式
书目名称Large Scale Scientific Computing
编辑P. Deuflhard,B. Engquist
视频video
丛书名称Progress in Scientific Computing
图书封面Titlebook: Large Scale Scientific Computing;  P. Deuflhard,B. Engquist Book 1987 Birkhäuser Boston 1987 Mathematica.algorithms.boundary element method
描述In this book, the new and rapidly expanding field of scientific computing is understood in a double sense: as computing for scientific and engineering problems and as the science of doing such computations. Thus scientific computing touches at one side mathematical modelling (in the various fields of applications) and at the other side computer science. As soon as the mathematical models de­ scribe the features of real life processes in sufficient detail, the associated computations tend to be large scale. As a consequence, interest more and more focusses on such numerical methods that can be expected to cope with large scale computational problems. Moreover, given the algorithms which are known to be efficient on a tradi tional computer, the question of implementation on modern supercomputers may get crucial. The present book is the proceedings of a meeting on "Large Scale Scientific Computing" , that was held a t the Oberwolfach Mathematical Institute (July 14-19, 1985) under the auspices of the Sonderforschungsbereich 123 of the University of Heidelberg. Participants included applied scientists with computational interests, numerical analysts, and experts on modern parallel comp
出版日期Book 1987
关键词Mathematica; algorithms; boundary element method; climatology; computer; computer science; control; design;
版次1
doihttps://doi.org/10.1007/978-1-4684-6754-3
isbn_softcover978-1-4684-6756-7
isbn_ebook978-1-4684-6754-3
copyrightBirkhäuser Boston 1987
The information of publication is updating

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Numerical Computation of Stiff Systems for Nonequilibrium Ionization Problemsribe such physical phenomena, the fluid dynamics systems, multi-group energy equations of photons, electrons, ions and equations for electron occupation probabilities are considered. There are nonlinear coupled ordinary and partial differential equations, which have much different time scales. It is a large scale scientific computing problem.
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Numerical Pathfollowing Beyond Critical Points in ODE Modelsd systems are discussed in detail on the basis of stability considerations for ordinary differential equations. For difference or collocation methods, two efficient augmented systems are given. For multiple shooting techniques, an efficient and theoretically satisfactory treatment could only be found for “not too stiff” ODEs.
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ngineering problems and as the science of doing such computations. Thus scientific computing touches at one side mathematical modelling (in the various fields of applications) and at the other side computer science. As soon as the mathematical models de­ scribe the features of real life processes in
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978-1-4684-6756-7Birkhäuser Boston 1987
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Progress in Scientific Computinghttp://image.papertrans.cn/l/image/581363.jpg
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