Approximation on computing partial sum of nonlinear differential eigenvalue problems

被引:0
|
作者
孙家昶
蒋慕蓉
机构
[1] Beijing 100080
[2] China Department of Mathematics
[3] Chinese Academy of Sciences
[4] Institute of Software
[5] Kunming 650091
[6] Yunnan University
基金
中国国家自然科学基金;
关键词
nonlinear eigenvalue problems; approximating algorithm; perturbation;
D O I
暂无
中图分类号
O175.2 [偏微分方程];
学科分类号
摘要
In computing the electronic structure and energy band in a system of multi-particles, quite a large number of problems are referred to the acquisition of obtaining the partial sum of densities and energies using the "first principle". In the conventional method, the so-called self-consistency approach is limited to a small scale because of high computing complexity. In this paper, the problem of computing the partial sum for a class of nonlinear differential eigenvalue equations is changed into the constrained functional minimization. By space decomposition and perturbation method, a secondary approximating formula for the minimal is provided. It is shown that this formula is more precise and its quantity of computation can be reduced significantly.
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页码:61 / 66
页数:6
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