Difference between revisions of "MIPDECO"

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=== Laplace Source Inversion ===
 
=== Laplace Source Inversion ===
  
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Problem is to identify source to match an observed state, <math> \bar u </math>, governed by Laplace equation with Dirichtlet boundary conditions:
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{| align="center"
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| minimize    || <math> \int_{\Omega} u - \bar u d\Omega</math>      ||
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|-
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| subject to  || <math>g_i(x,y)  \leq 0 \,</math> || for <math>i = 1, ..., m \,</math>
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|-
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|                  || <math> x \in X \; y \in Y</math> integer, ||
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|}
  
 
=== Distributed Control with Neumann Boundary Conditions ===
 
=== Distributed Control with Neumann Boundary Conditions ===

Revision as of 17:07, 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, <math> \bar u </math>, governed by Laplace equation with Dirichtlet boundary conditions:

minimize <math> \int_{\Omega} u - \bar u d\Omega</math>
subject to <math>g_i(x,y) \leq 0 \,</math> for <math>i = 1, ..., m \,</math>
<math> x \in X \; y \in Y</math> integer,

Distributed Control with Neumann Boundary Conditions

Parabolic Robin Boundary Problem in One Dimension

Parabolic Robin Boundary Problem in Two Dimensions

Heat Equation Actuator-Placement

Subsurface Flow Well-Placement