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GloptiPoly: Global optimization over polynomials with Matlab and SeDuMi
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Source ACM Transactions on Mathematical Software (TOMS) archive
Volume 29 ,  Issue 2  (June 2003) table of contents
Pages: 165 - 194  
Year of Publication: 2003
ISSN:0098-3500
Authors
Didier Henrion  Laboratoire d'Analyse et d'Architecture des Systèmes Centre National de la Recherche Scientifique, Prague, Toulouse, France
Jean-Bernard Lasserre  Laboratoire d'Analyse et d'Architecture des Systèmes Centre National de la Recherche Scientifique, Toulouse, France
Publisher
ACM  New York, NY, USA
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ABSTRACT

GloptiPoly is a Matlab/SeDuMi add-on to build and solve convex linear matrix inequality relaxations of the (generally nonconvex) global optimization problem of minimizing a multivariable polynomial function subject to polynomial inequality, equality, or integer constraints. It generates a series of lower bounds monotonically converging to the global optimum without any problem splitting. Global optimality is detected and isolated optimal solutions are extracted automatically. Numerical experiments show that for most of the small-scale problems described in the literature, the global optimum is reached at low computational cost.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  14

Collaborative Colleagues:
Didier Henrion: colleagues
Jean-Bernard Lasserre: colleagues