1967•SIAM Journal on ControlRequires access

The Minimization of a Smooth Convex Functional on a Convex Set

Vladimir F. Demyanov, Alexander M. Rubinov

Open publisher page 37 citations

Abstract

A method is given for the minimization of a convex functional. on a convex set in Banach space. The paper proves the convergence of the method and presents its applications to problems of optimal linear programming and of convex programming.

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What this paper is about

A method is given for the minimization of a convex functional. on a convex set in Banach space. The paper proves the convergence of the method and presents its applications to problems of optimal linear programming and of convex programming.

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OpenAlex reports 37 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A method is given for the minimization of a convex functional. on a convex set in Banach space. The paper proves the convergence of the method and presents its applications to problems of optimal linear programming and of convex programming.

Key concepts: Subderivative, Convex analysis, Proper convex function, Mathematics, Convex set, Convex optimization, Convex combination, Mathematical optimization

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