Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
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Consideration was given to the separable problem of concave programming with linear constraints for which two groups of new algorithms relying on a unique theoretical basis were proposed. The first group of (precise) algorithms approximates the optimal value of a functional from below, the second group of (mostly approximate) algorithms, does this from above.