Approximation on computing partial sum of nonlinear differential eigenvalue problems

被引:0
作者
Sun, JC [1 ]
Jiang, MR
机构
[1] Chinese Acad Sci, Inst Software, Beijing 100080, Peoples R China
[2] Yunnan Univ, Dept Math, Kunming 650091, Peoples R China
来源
PROGRESS IN NATURAL SCIENCE | 2001年 / 11卷 / 11期
关键词
nonlinear eigenvalue problems; approximating algorithm; perturbation;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
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 he reduced significantly.
引用
收藏
页码:859 / 864
页数:6
相关论文
共 3 条
[1]  
JIANG MR, 2000, COMM NONLI SCI NUMER, V5, P80
[2]  
Struwe M., 1990, Variational methods: applications to nonlinear partial differential equations and Hamiltonian systems
[3]  
SUN JC, 1997, CHINESE SCI BULL, V42, P818