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  4. A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation
 
research article

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Caboussat, Alexandre  
•
Glowinski, Roland
•
Gourzoulidis, Dimitrios  
October 1, 2018
Journal Of Scientific Computing

In this article, we address the numerical solution of the Dirichlet problem for the three-dimensional elliptic Monge-Ampere equation using a least-squares/relaxation approach. The relaxation algorithm allows the decoupling of the differential operators from the nonlinearities. Dedicated numerical solvers are derived for the efficient solution of the local optimization problems with cubicly nonlinear equality constraints. The approximation relies on mixed low order finite element methods with regularization techniques. The results of numerical experiments show the convergence of our relaxation method to a convex classical solution if such a solution exists; otherwise they show convergence to a generalized solution in a least-squares sense. These results show also the robustness of our methodology and its ability at handling curved boundaries and non-convex domains.

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Type
research article
DOI
10.1007/s10915-018-0698-6
Web of Science ID

WOS:000443708200003

Author(s)
Caboussat, Alexandre  
Glowinski, Roland
Gourzoulidis, Dimitrios  
Date Issued

2018-10-01

Publisher

SPRINGER/PLENUM PUBLISHERS

Published in
Journal Of Scientific Computing
Volume

77

Issue

1

Start page

53

End page

78

Subjects

Mathematics, Applied

•

Mathematics

•

monge-ampere equation

•

least-squares method

•

nonlinear constrained minimization

•

newton methods

•

mixed finite element method

•

partial-differential-equations

•

finite-element approximations

•

vanishing moment method

•

error analysis

•

dimension 2

•

schemes

•

inverse

•

flow

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ASN  
Available on Infoscience
December 13, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/152605
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