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Algebraic splines in locally convex spaces functional equations is found. The locally convex topology on the vector space and the properties
A combined relaxation method for nonlinear variational inequalities describe a class of CR methods for nonlinear variational inequality problems (NVI), which involve two
Optimality conditions for linear copositive programming problems with isolated immobile indicesIn the present paper, we apply our recent results on optimality for convex semi
BOUNDARY VALUE PROBLEMS FOR FUNCTIONAL-DIFFERENTIAL INCLUSIONS WITH THE MULTIVALUED IMPULSESThe boundary value problems for a functional-differential inclusion generated by a multivalued map
Simplified versions of the conditional gradient method modifications of the conditional gradient method for smooth optimization problems, which maintain the basic
Existence theorem and optimality conditions for a class of convex semi-infinite problems with noncompact index sets. These problems are convex and possess non-compact index sets. In the paper, we present conditions guaranteeing
Convergence and numerical experience with one class of decomposition algorithmsblock-structured problems
Adaptive Conditional Gradient Method adaptive conditional gradient method with the step length regulation for solving pseudo-convex constrained
Subdifferentials of nonconvex integral functionals in banach spaces with applications to stochastic dynamic programming of measure nonatomicity, known as saturation, to invoke the recent results of the Lyapunov convexity theorem
A combined method for smooth equilibrium problems with nonlinear constraints for optimization problems and convex inequalities.
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