Entropy-like proximal methods in convex programming
Mathematics of Operations Research
Convergence of some algorithms for convex minimization
Mathematical Programming: Series A and B - Special issue: Festschrift in Honor of Philip Wolfe part II: studies in nonlinear programming
Convergence of the steepest descent method for minimizing quasiconvex functions
Journal of Optimization Theory and Applications
On the projected subgradient method for nonsmooth convex optimization in a Hilbert space
Mathematical Programming: Series A and B
Non-causal models in long term planning via set contractive optimal control methods
Mathematical and Computer Modelling: An International Journal
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Following paper [1), significant improvements are proposed as concerns the class of problems that can be solved, the quality of the solution, and the numerical implementability of the method. Optimization is considered in a Banach space over a nonconvex inf-compact, finitely infrobust set for a multivalued nonconvex continuous functional. The iterative method is monotonic and represents generalized variant o@$ setwise descent onto the set of all global minimizers. A real-life example of the vertical soft landing of an aircraft is considered to illustrate the method.