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A generalized filippov-like existence theorem for optimal control problems with constraintsAs is known, an optimal control problem may not have a solution. A.F. Filippov in [1] obtained his

An analytical model for 5G network resource sharing with flexible SLA-oriented slice isolation services. The policy implies a convex programming problem and is formalized to allow for session

Optimality Criteria without Constraint Qualifications for Linear Semidefinite ProblemsWe consider two closely related optimization problems: a problem of convex semi

Modified SOMA for Optimal Control Problem with static and dynamic phase constraints. The optimization problem is not convex and unimodal

Условия оптимальности для негладких задач выпуклого программированияIn the article, we consider nonsmooth convex programming problems of special type. Such a class

Optimal Lockdown Policies driven by Socioeconomic Costs on a particular cost structure (convex costs) and we simulate a targeted optimal policy vs. a uniform

One algorithm for branch and bound method for solving concave optimization problem the necessary and sufficient conditions of optimum for the original problem and for a convex programming problem

Критерий оптимальности для задач выпуклого полубесконечного программирования с аналитическими функциями ограниченийOptimality criteria for convex semi- infinite programming problems

A Logarithmic Barrier Approach Via Majorant Function for Nonlinear ProgrammingIn this paper, we are interested in solving an optimization nonlinear programming problem using a

Pontryagin’s Principle of Maximum for Linear Optimal Control Problems with Phase Constraintsin Infinite Dimensional SpacesThis paper presents the conditions of optimality for a problem with linear phase constraints

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