GloptiPoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc.The present version of GloptiPoly 3 can handle moment problems with polynomial data. Many important applications in e.g. optimization, probability, financial economics and optimal control, can be viewed as particular instances of the GPM, and (possibly after some transformation) of the GPM with polynomial data.The approach is similar to that used in the former version 2 of GloptiPoly. The software allows to build up a hierarchy of semidefinite programming (SDP), or linear matrix inequality (LMI) relaxations of the GPM, whose associated monotone sequence of optimal values converges to the global optimum.

References in zbMATH (referenced in 301 articles , 1 standard article )

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  1. Kuntz, Juan; Thomas, Philipp; Stan, Guy-Bart; Barahona, Mauricio: Approximations of countably infinite linear programs over bounded measure spaces (2021)
  2. Lasserre, Jean B.; Weisser, Tillmann: Distributionally robust polynomial chance-constraints under mixture ambiguity sets (2021)
  3. Naldi, Simone; Sinn, Rainer: Conic programming: infeasibility certificates and projective geometry (2021)
  4. Wang, Jie; Magron, Victor; Lasserre, Jean-Bernard: Chordal-TSSOS: a moment-SOS hierarchy that exploits term sparsity with chordal extension (2021)
  5. Wang, Jie; Magron, Victor; Lasserre, Jean-Bernard: TSSOS: a moment-SOS hierarchy that exploits term sparsity (2021)
  6. Bonnard, Bernard; Cots, Olivier; Rouot, Jérémy; Verron, Thibaut: Time minimal saturation of a pair of spins and application in magnetic resonance imaging (2020)
  7. Cen, Xiaoli; Xia, Yong: Globally maximizing the sum of squares of quadratic forms over the unit sphere (2020)
  8. Cerone, Vito; Razza, Valentino; Regruto, Diego: One-shot set-membership identification of generalized Hammerstein-Wiener systems (2020)
  9. Cheng, Lulu; Zhang, Xinzhen: A semidefinite relaxation method for second-order cone polynomial complementarity problems (2020)
  10. Jarre, Florian; Lieder, Felix; Liu, Ya-Feng; Lu, Cheng: Set-completely-positive representations and cuts for the max-cut polytope and the unit modulus lifting (2020)
  11. Jiao, Chunxi; Kawai, Reiichiro: Computable primal and dual bounds for stochastic control (2020)
  12. Lasserre, Jean B.; Magron, Victor: Computing the Hausdorff boundary measure of semialgebraic sets (2020)
  13. Legat, Benoît; Parrilo, Pablo; Jungers, Raphaël: Certifying unstability of switched systems using sum of squares programming (2020)
  14. Le Mézo, Thomas; Jaulin, Luc; Zerr, Benoît: Bracketing backward reach sets of a dynamical system (2020)
  15. Marx, Swann; Weisser, Tillmann; Henrion, Didier; Lasserre, Jean Bernard: A moment approach for entropy solutions to nonlinear hyperbolic PDEs (2020)
  16. Nie, Jiawang; Yang, Liu; Zhong, Suhan: Stochastic polynomial optimization (2020)
  17. van Ackooij, Wim; Pérez-Aros, Pedro: Gradient formulae for nonlinear probabilistic constraints with non-convex quadratic forms (2020)
  18. Wang, Xiao; Zhang, Xinzhen; Zhou, Guangming: SDP relaxation algorithms for (\mathbfP(P_0))-tensor detection (2020)
  19. Wang, Yulei; Gao, Jinwu; Li, Kai; Chen, Hong: Integrated design of control allocation and triple-step control for over-actuated electric ground vehicles with actuator faults (2020)
  20. Zhao, Ruixue; Fan, Jinyan: Higher-degree tensor eigenvalue complementarity problems (2020)

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