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The convergence of the steepest descent algorithm for D.C.optimization. (Chinese. English summary) Zbl 1140.49304

Summary: Some properties of a class of quasi-differentiable functions (the difference of two finite convex functions) are considered in this paper. The convergence of the steepest descent algorithm for unconstrained and constrained quasi-differentiable programming is proved.

MSC:

49J52 Nonsmooth analysis
90C26 Nonconvex programming, global optimization
90C30 Nonlinear programming
49J45 Methods involving semicontinuity and convergence; relaxation