Augmented Lagrangian Methods for Transport Optimization, Mean-field Games and Degenerate Pdes
نویسنده
چکیده
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 is a divergence constraint but in time and space. A large class of Mean-Field Games introduced by Lasry and Lions may also be interpreted as a generalisation of the time-dependent optimal transport problem. Following Benamou and Brenier [BB00], we show that augmented Lagrangian methods are well-suited to treat such convex but neither smooth nor strictly convex problems. It includes in particular Monge’s original optimal transport problem. A finite element discretization and implementation of the method is used to provide numerical simulations and a convergence study.
منابع مشابه
Finite Element Solutions of Cantilever and Fixed Actuator Beams Using Augmented Lagrangian Methods
In this paper we develop a numerical procedure using finite element and augmented Lagrangian meth-ods that simulates electro-mechanical pull-in states of both cantilever and fixed beams in microelectromechanical systems (MEMS) switches. We devise the augmented Lagrangian methods for the well-known Euler-Bernoulli beam equation which also takes into consideration of the fringing effect of electr...
متن کاملGlobal Convergence of Augmented Lagrangian Methods Applied to Optimization Problems with Degenerate Constraints, Including Problems with Complementarity Constraints
We consider global convergence properties of the augmented Lagrangian methods on problems with degenerate constraints, with a special emphasis on mathematical programs with complementarity constraints (MPCC). In the general case, we show convergence to stationary points of the problem under an error bound condition for the feasible set (which is weaker than constraint qualifications), assuming ...
متن کاملA globally and quadratically convergent primal-dual augmented Lagrangian algorithm for equality constrained optimization
A globally and quadratically convergent primal–dual augmented Lagrangian algorithm for equality constrained optimization Paul Armand & Riadh Omheni To cite this article: Paul Armand & Riadh Omheni (2015): A globally and quadratically convergent primal–dual augmented Lagrangian algorithm for equality constrained optimization, Optimization Methods and Software, DOI: 10.1080/10556788.2015.1025401 ...
متن کاملAugmented Lagrangian Methods for Solving Optimization Problems with Stochastic-Order Constraints
We investigate risk-averse stochastic optimization problems where riskaverse preferences are modeled with a stochastic order constraint. We propose augmented Lagrangian methods for the numerical solution of problems with multivariate and univariate stochastic order relations. The methods constructs finite-dimensional approximations of the optimization problem whose solutions converge to the sol...
متن کاملAugmented Lagrangian method for solving absolute value equation and its application in two-point boundary value problems
One of the most important topic that consider in recent years by researcher is absolute value equation (AVE). The absolute value equation seems to be a useful tool in optimization since it subsumes the linear complementarity problem and thus also linear programming and convex quadratic programming. This paper introduce a new method for solving absolute value equation. To do this, we transform a...
متن کامل