论文标题
定位的数值方法
Numerical methods for localization
论文作者
论文摘要
安德森本地化为数值方法带来了挑战，这是由于其固有的随机性，因此没有简单的对称性，以其离散的哈密顿表示。从其他领域开发或采用了许多算法方法，并已在该百科全书中收集。在下面的讨论中，重点是本地化的数值算法，而本百科全书中Elgart和Oganesyan的伴侣条目中对定位物理的讨论则是指的。
Anderson localization provides a challenge to numerical approaches due to the inherent randomness, and hence absence of simple symmetries, in its discrete Hamiltonian representation. Numerous algorithmic approaches have been developed or adopted from other fields and have been collected in this encyclopedia entry. In the discussions below, the emphasis is on the numerical algorithms for localization, while the discussion of the physics of localization is referred to in companion entries by Elgart and Oganesyan in this encyclopedia.
