Linear-quadratic programming and optimal control
SIAM Journal on Control and Optimization
A regularization method for solving the finite convex min-max problem
SIAM Journal on Numerical Analysis
An interval maximum entropy method for a discrete minimax problem
Applied Mathematics and Computation
An Algorithm for the Inequality-Constrained Discrete Min--Max Problem
SIAM Journal on Optimization
Journal of Computational and Applied Mathematics
Evolutionary algorithms for minimax problems in robust design
IEEE Transactions on Evolutionary Computation
Subgradient-based neural networks for nonsmooth nonconvex optimization problems
IEEE Transactions on Neural Networks
Computers & Mathematics with Applications
A neural network for a class of convex quadratic minimax problems with constraints
IEEE Transactions on Neural Networks
A delayed neural network for solving linear projection equations and its analysis
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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This paper investigates a class of minimax problems, in which the cost functions are nonsmooth. A generalized neural network for solving the minimax problems was proposed, and its convergence was proven based on the nonsmooth analysis. The rate of convergence was discussed by virtue of the lojasiewicz inequality. Two numerical examples were given to illustrate the efficiency of the theoretical results.