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Discretize-then-relax approach for convex/concave relaxations of the solutions of parametric ODEs

Authors :
Sahlodin, Ali M.
Chachuat, Benoît
Source :
Applied Numerical Mathematics. Jul2011, Vol. 61 Issue 7, p803-820. 18p.
Publication Year :
2011

Abstract

Abstract: This paper presents a discretize-then-relax methodology to compute convex/concave bounds for the solutions of a wide class of parametric nonlinear ODEs. The procedure builds upon interval methods for ODEs and uses the McCormick relaxation technique to propagate convex/concave bounds. At each integration step, a two-phase procedure is applied: a priori convex/concave bounds that are valid over the entire step are calculated in the first phase; then, pointwise-in-time convex/concave bounds at the end of the step are obtained in the second phase. An approach that refines the interval state bounds by considering subgradients and affine relaxations at a number of reference parameter values is also presented. The discretize-then-relax method is implemented in an object-oriented manner and is demonstrated using several numerical examples. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
01689274
Volume :
61
Issue :
7
Database :
Academic Search Index
Journal :
Applied Numerical Mathematics
Publication Type :
Academic Journal
Accession number :
59925057
Full Text :
https://doi.org/10.1016/j.apnum.2011.01.009