Titlebook: Optimization, Variational Analysis and Applications; IFSOVAA-2020, Varana Vivek Laha,Pierre Maréchal,S. K. Mishra Conference proceedings 20

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吞吞吐吐

The New Butterfly Relaxation Method for Mathematical Programs with Complementarity Constraints, relaxed non-linear programs as well as stationary properties of limiting points. A sub-family of our relaxation schemes has the desired property of converging to an M-stationary point. A stronger convergence result is also proved in the affine case. A comprehensive numerical comparison between exis

BABY

Copositive Optimization and Its Applications in Graph Theory,rtile field of research. In this chapter, we demonstrate the diversity of copositive formulations in different domains of optimization: continuous, discrete, and stochastic optimization problems. Further, we discuss the role of copositivity for local and global optimality conditions. Finally, we tal

infantile

,Hermite–Hadamard Type Inequalities For Functions Whose Derivatives Are Strongly ,-Convex Via Fractiities for strongly .-convex functions. Further, some applications of these results to special means of real numbers are also discussed. Moreover, our results include several new and known results in particular cases.

Nmda-Receptor

,Set Order Relations, Set Optimization, and Ekeland’s Variational Principle,lay a key role to study set optimization problems. The solution concepts of set optimization problems and their relationships with respect to different kinds of set order relations are provided. The nonlinear scalarization functions for vector-valued maps as well as for set-valued maps are very usef

噴油井

詼諧

Unconstrained Reformulation of Sequential Quadratic Programming and Its Application in Convex Optim. The idea of sequential quadratic programming is combined with the concept of regularized gap function to construct an exact differentiable penalty function. A descent algorithm is proposed along with some numerical illustrations.

幻想

SNEER

榮幸

On Minty Variational Principle for Nonsmooth Interval-Valued Multiobjective Programming Problems, vector variational inequalities. Under generalized approximate .-convexity hypotheses, we establish the relations between the solutions of approximate Minty and Stampacchia vector variational inequalities and the approximate .-efficient solutions of the nonsmooth interval-valued multiobjective prog