An aggregate deformation homotopy method for min-max-min problems with max-min constraints
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Publication:616792
DOI10.1007/s10589-008-9229-yzbMath1208.90180OpenAlexW2059847493MaRDI QIDQ616792
Publication date: 12 January 2011
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-008-9229-y
Related Items (5)
Global convergence analysis of the aggregate constraint homotopy method for nonlinear programming problems with both inequality and equality constraints ⋮ The inexact log-exponential regularization method for mathematical programs with vertical complementarity constraints ⋮ A homotopy method based on penalty function for nonlinear semidefinite programming ⋮ Solving fixed-point problems with inequality and equality constraints via a non-interior point homotopy path-following method ⋮ Stationarity conditions and their reformulations for mathematical programs with vertical complementarity constraints
Uses Software
Cites Work
- Algorithms for finite and semi-infinite Min-Max-Min problems using adaptive smoothing techniques
- Algorithms with adaptive smoothing for finite minimax problems
- A new polynomial-time algorithm for linear programming
- Multiple instance classification via successive linear programming
- Regularized smoothing approximations to vertical nonlinear complementarity problems
- A combined homotopy interior point method for general nonlinear programming problems
- On the entropic regularization method for solving min-max problems with applications
- A property of piecewise smooth functions
- A non-interior continuation method for generalized linear complementarity problems
- Properties of an interior embedding for solving nonlinear optimization problems
- Nonconvex piecewise-quadratic underestimation for global minimization
- A modified standard embedding with jumps in nonlinear optimization
- Theory of Globally Convergent Probability-One Homotopies for Nonlinear Programming
- Algorithm 652
- Iterative Solution of Augmented Systems Arising in Interior Methods
- Nonconvex Structures in Nonlinear Programming
- Continuous deformation of nonlinear programs
- Second-Order Necessary Conditions in Constrained Semismooth Optimization
- An Aggregate Constraint Method for Non-Linear Programming
- Semismooth and Semiconvex Functions in Constrained Optimization
- On the Conversion of Optimization Problems with Max-Min Constraints to Standard Optimization Problems
- Ill-Conditioning and Computational Error in Interior Methods for Nonlinear Programming
- Existence of an interior pathway to a Karush-Kuhn-Tucker point of a nonconvex programming problem
- Adaptive Approximations and Exact Penalization for the Solution of Generalized Semi-infinite Min-Max Problems
- A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties
- An Interior Point Method with a Primal-Dual Quadratic Barrier Penalty Function for Nonlinear Optimization
- Interior Methods for Nonlinear Optimization
- On the conversion of optimization problems with max-min constraints to standard optimization problems
- The aggregate constraint homotopy method for nonconvex nonlinear programming
- Smoothing method for minimax problems
- Polyhedral separability through successive LP
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