Augmented Lagrangian Methods for Transport Optimization, Mean Field Games and Degenerate Elliptic Equations

被引:86
作者
Benamou, Jean-David [1 ]
Carlier, Guillaume [2 ]
机构
[1] INRIA, MOKAPLAN, F-78153 Le Chesnay, France
[2] Univ Paris 09, CEREMADE, F-75775 Paris 16, France
关键词
Augmented Lagrangian; Optimal transport; Monge problem; Mean field games; Degenerate elliptic PDEs; NUMERICAL-METHODS; OPERATORS; DENSITY;
D O I
10.1007/s10957-015-0725-9
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Many problems from mass transport can be reformulated as variational problems under a prescribed divergence constraint (static problems) or subject to a time-dependent continuity equation, which again can be formulated as a divergence constraint but in time and space. The variational class of mean field games, introduced by Lasry and Lions, may also be interpreted as a generalization of the time-dependent optimal transport problem. Following Benamou and Brenier, we show that augmented Lagrangian methods are well suited to treat such convex but non-smooth problems. They include in particular Monge historic optimal transport problem. A finite-element discretization and implementation of the method are used to provide numerical simulations and a convergence study.
引用
收藏
页码:1 / 26
页数:26
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