Augmented Lagrange primal-dual approach for generalized fractional programming problems

DOI10.3934/jimo.2013.9.723zbMath1276.49024OpenAlexW2330925237MaRDI QIDQ380509

Ruey-Lin Sheu, Jen-Yen Lin, Hui-Ju Chen

Publication date: 14 November 2013

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2013.9.723

zbMATH Keywords

augmented Lagrange methodDinkelbach-type algorithmexponential penalty methodgeneralized fractional program

Mathematics Subject Classification ID

Fractional programming (90C32) Numerical methods based on nonlinear programming (49M37) Existence of solutions for minimax problems (49J35) Duality theory (optimization) (49N15) Optimality conditions for minimax problems (49K35)

Related Items (6)

Some characterizations of robust optimal solutions for uncertain fractional optimization and applications ⋮ A proximal point algorithm for generalized fractional programs ⋮ Convergence of a proximal algorithm for solving the dual of a generalized fractional program ⋮ Prox-dual regularization algorithm for generalized fractional programs ⋮ Dual method of centers for solving generalized fractional programs ⋮ Convergence analysis of a nonlinear Lagrangian method for nonconvex semidefinite programming with subproblem inexactly solved

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