Solving min-max problems and linear semi-infinite programs
From MaRDI portal
Publication:1816663
DOI10.1016/0898-1221(96)00145-9zbMath0860.90110OpenAlexW2035815117MaRDI QIDQ1816663
Publication date: 27 November 1996
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0898-1221(96)00145-9
linear semi-infinite programmingentropy optimizationmin-max problemsmooth approximationentropic regularizationnondifferentiability of the max function
Related Items
An entropic regularization approach for mathematical programs with equilibrium constraints ⋮ A relaxed cutting plane algorithm for solving fuzzy inequality systems ⋮ Modified Dinkelbach-Type algorithm for generalized fractional programs with infinitely many ratios ⋮ Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework ⋮ An entropy based central cutting plane algorithm for convex min-Max semi-infinite programming problems ⋮ Unnamed Item ⋮ Solving fuzzy inequalities with concave membership functions ⋮ On solving simple bilevel programs with a nonconvex lower level program ⋮ Solving fuzzy variational inequalities over a compact set ⋮ Solving continuous min-max problems by an iterative entropic regularization method. ⋮ Solving mathematical programs with fuzzy equilibrium constraints ⋮ On a class of fuzzy parametric variational inequality controlled differential equation problems in finite dimension spaces ⋮ Solving implicit mathematical programs with fuzzy variational inequality constraints based on the method of centres with entropic regularization ⋮ An approach for solving fuzzy implicit variational inequalities with linear membership functions ⋮ Solving variational inequalities in a fuzzy environment ⋮ Solving a system of infinitely many fuzzy inequalities with piecewise linear membership functions
Cites Work
- Unnamed Item
- Unnamed Item
- A smooth method for the finite minimax problem
- Enlarging the region of convergence of Newton's method for constrained optimization
- New minimax algorithm
- Parametric linear semi-infinite programming
- Superlinearly convergent algorithm for min-max problems
- Semi-Infinite Programming: Theory, Methods, and Applications
- Smooth Optimization Methods for Minimax Problems
- A smoothing-out technique for min—max optimization
- An Efficient Method to Solve the Minimax Problem Directly
- A Regularization Method for Solving the Finite Convex Min-Max Problem
This page was built for publication: Solving min-max problems and linear semi-infinite programs
