A proximal point algorithm for generalized fractional programs

DOI10.1080/02331934.2017.1338698zbMath1412.90147OpenAlexW2649544536MaRDI QIDQ4559394

Smail Addoune, Mostafa El Haffari, Ahmed Roubi

Publication date: 3 December 2018

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2017.1338698

zbMATH Keywords

Lagrange dualityproximal point algorithmDinkelbach-type algorithmsmulti-ratio fractional programs

Mathematics Subject Classification ID

Fractional programming (90C32)

Related Items (8)

A DC approach for minimax fractional optimization programs with ratios of convex functions ⋮ Optimality conditions and a method of centers for minimax fractional programs with difference of convex functions ⋮ An entropic regularized method of centers for continuous minimax problem with semi infinite constraints ⋮ Proximal bundle methods based on approximate subgradients for solving Lagrangian duals of minimax fractional programs ⋮ Augmented Lagrangian dual for nonconvex minimax fractional programs and proximal bundle algorithms for its resolution ⋮ Proximal bundle algorithms for nonlinearly constrained convex minimax fractional programs ⋮ Optimality conditions and DC-Dinkelbach-type algorithm for generalized fractional programs with ratios of difference of convex functions ⋮ Duality Results and Dual Bundle Methods Based on the Dual Method of Centers for Minimax Fractional Programs

Cites Work

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• Weak Sharp Minima in Mathematical Programming
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• On the Convergence of the Proximal Point Algorithm for Convex Minimization
• Problèmes fractionnaires : tour d'horizon sur les applications et méthodes de résolution
• On Nonlinear Fractional Programming
• Method of centers for generalized fractional programming
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