A “Joint+Marginal” Approach in Optimization

DOI10.1007/978-1-4614-0769-0_10zbMath1334.90110OpenAlexW2101601284MaRDI QIDQ2802528

Jean-Bernard Lasserre

Publication date: 26 April 2016

Published in: International Series in Operations Research & Management Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-1-4614-0769-0_10

Mathematics Subject Classification ID

Semidefinite programming (90C22) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02)

Uses Software

• GloptiPoly

Cites Work

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• Handbook of test problems in local and global optimization
• Extending scope of robust optimization: comprehensive robust counterparts of uncertain problems
• Robust global optimization with polynomials
• Persistence in discrete optimization under data uncertainty
• Global Optimization with Polynomials and the Problem of Moments
• A “Joint+Marginal” Approach to Parametric Polynomial Optimization
• Robust Optimization for Unconstrained Simulation-Based Problems
• Persistency Model and Its Applications in Choice Modeling
• GloptiPoly 3: moments, optimization and semidefinite programming
• Approximate Volume and Integration for Basic Semialgebraic Sets
• Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
• Polynomial Programming: LP-Relaxations Also Converge
• Optimization of Polynomials on Compact Semialgebraic Sets
• Handbook of semidefinite programming. Theory, algorithms, and applications

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