Disciplined quasiconvex programming

DOI10.1007/s11590-020-01561-8zbMath1459.90148arXiv1905.00562OpenAlexW3010055072MaRDI QIDQ2228357

Akshay Agrawal, Stephen P. Boyd

Publication date: 17 February 2021

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.00562

zbMATH Keywords

convex optimizationdomain-specific languagesquasiconvex programming

Mathematics Subject Classification ID

Convex programming (90C25) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)

Related Items (7)

Interior quasi-subgradient method with non-Euclidean distances for constrained quasi-convex optimization problems in Hilbert spaces ⋮ Portfolio optimization with two quasiconvex risk measures ⋮ Constraint reformulations for set point optimization problems using fuzzy cognitive map models ⋮ Semistrictly and neatly quasiconvex programming using lower global subdifferentials ⋮ Multi-period liability clearing via convex optimal control ⋮ Characterization of nonsmooth quasiconvex functions and their Greenberg-Pierskalla's subdifferentials using semi-quasidifferentiability notion ⋮ Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences

Uses Software

• CVX
• YALMIP
• CVXPY
• Julia
• CVXR
• Convex.jl

Cites Work

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• On Convergence Properties of a Subgradient Method
• Quantized Control via Locational Optimization
• Programming with linear fractional functionals
• Programming Problems with Convex Fractional Functions
• Quasi-Convex Programming
• A Review of Quasi-Convex Functions
• Existence of an Equilibrium for a Competitive Economy
• Convergence and efficiency of subgradient methods for quasiconvex minimization

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