Discrete Applied Mathematics - Discrete applied mathematics in Japan
Active constraints, indefinite quadratic test problems, and complexity
Journal of Optimization Theory and Applications
Generalized linear multiplicative and fractional programming
Annals of Operations Research
Optimizing the sum of linear fractional functions
Recent advances in global optimization
Generalized Convex Multiplicative Programming via QuasiconcaveMinimization
Journal of Global Optimization
Journal of Global Optimization
Analysis of Bounds for Multilinear Functions
Journal of Global Optimization
Global Optimization of Multiplicative Programs
Journal of Global Optimization
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
Introduction to Global Optimization (Nonconvex Optimization and Its Applications)
A convex analysis approach for convex multiplicative programming
Journal of Global Optimization
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This paper addresses the problem of minimizing an arbitrary finite sum of products of two convex functions over a convex set. Nonconvex problems in this form constitute a class of generalized convex multiplicative problems. Convex analysis results allow to reformulate the problem as an indefinite quadratic problem with infinitely many linear constraints. Special properties of the quadratic problem combined with an adequate outer approximation procedure for handling its semi-infinite constrained set enable an efficient constraint enumeration global optimization algorithm for generalized convex multiplicative programs. Computational experiences illustrate the proposed approach.