Difference between revisions of "MIPDECO"
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=== Laplace Source Inversion === | === Laplace Source Inversion === | ||
| − | Problem is to identify source to match an observed state | + | Problem is to identify source to match an observed state, governed by Laplace equation with Dirichtlet boundary conditions. |
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=== Distributed Control with Neumann Boundary Conditions === | === Distributed Control with Neumann Boundary Conditions === | ||
Revision as of 16:08, 2 August 2016
Mixed-Integer PDE Constrained Optimization (MIPDECO) Test Problems
This page links to sets of MIPDECO test problems written in AMPL and described in a companion report.
Each problem includes a characterization in terms of type of PDE, class of integers, type of objective, type of constraints, and discretization scheme.
A tar-ball with all ampl models, data, and command files is available here. A tar-ball with the corresponding stub.nl files is available here.
Laplace Source Inversion
Problem is to identify source to match an observed state, governed by Laplace equation with Dirichtlet boundary conditions.