An importance sampling algorithm for diagonalizing the nuclear shell-model hamiltonian

被引：0
|
作者：
F. Andreozzi
N. Lo Iudice
A. Porrino
机构：
[1] Università di Napoli Federico II,Dipartimento di Scienze Fisiche
[2] Complesso Universitario di Monte S. Angelo,Istituto Nazionale di Fisica Nucleare
来源：
Physics of Atomic Nuclei | 2004年 / 67卷
关键词：
Elementary Particle; Iterative Algorithm; Importance Sampling; Sampling Algorithm; Full Control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We have developed an iterative algorithm for generating exact eigensolutions of large matrices and endowed it with an importance sampling which allows for a reduction of the sizes of the matrices while keeping full control of the accuracy of the eigensolutions. We illustrate the potential of the method through its application to the nuclear shell-model eigenproblem.
引用
收藏
页码：1834 / 1839
页数：5
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