NANAMay 15, 2015

Numerical analysis of distributed optimal control problems governed by elliptic variational inequalities

arXiv:1412.6500
Originality Synthesis-oriented
AI Analysis

Provides theoretical convergence guarantees for numerical solutions of optimal control problems with variational inequalities, which is an incremental contribution to the field.

This paper performs numerical analysis of a distributed optimal control problem governed by elliptic variational inequalities, proving convergence of finite element approximations to the continuous solution as mesh size goes to zero.

A continuous optimal control problem governed by an elliptic variational inequality was considered in Boukrouche-Tarzia, Comput. Optim. Appl., 53 (2012), 375-392 where the control variable is the internal energy $g$. It was proved the existence and uniqueness of the optimal control and its associated state system. The objective of this work is to make the numerical analysis of the above optimal control problem, through the finite element method with Lagrange's triangles of type 1. We discretize the elliptic variational inequality which define the state system and the corresponding cost functional, and we prove that there exists a discrete optimal control and its associated discrete state system for each positive $h$ (the parameter of the finite element method approximation). Finally, we show that the discrete optimal control and its associated state system converge to the continuous optimal control and its associated state system when the parameter $h$ goes to zero.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes