Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
An improved subgradient method for constrained nondifferentiable optimization
Operations Research Letters
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One more search direction is introduced into the subgradient method for non-differentiable optimization problems to enhance the speed of convergence. The proposed algorithm generates a point which is strictly closer and forms a more acute angle to the solution set than the point generated by the subgradient method. The resulting algorihtm still remains very simple. A computational test shows great improvement in the computational efficiency using this algorithm.