NEURAL MULTIGRID METHODS FOR GAUGE-THEORIES AND OTHER DISORDERED-SYSTEMS

被引：9

作者：

BAKER, M ^{[1
]}

KALKREUTER, T ^{[1
]}

MACK, G ^{[1
]}

SPEH, M ^{[1
]}

机构：

[1] UNIV HAMBURG,INST THEORET PHYS 2,W-2000 HAMBURG 50,GERMANY

来源：

INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS | 1993年 / 4卷 / 02期

关键词：

MULTIGRID; NEURAL NETWORKS; DISORDERED SYSTEMS; GAUGE FIELDS; NEURAL MULTIGRID;

D O I：

10.1142/S0129183193000252

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present evidence that multigrid works for wave equations in disordered systems, e.g. in the presence of gauge fields, no matter how strong the disorder, but one needs to introduce a ''neural computations'' point of view into large scale simulations: First, the system must learn how to do the simulations efficiently, then do the simulation (fast). The method can also be used to provide smooth interpolation kernels which are needed in multigrid Monte Carlo updates.

引用

页码：239 / 247

页数：9

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