Titlebook: Recent Advances in Optimization; Proceedings of the 8 Peter Gritzmann,Reiner Horst,Rainer Tichatschke Conference proceedings 1997 Springer-

熱心助人

On the Best Approximation of Set-Valued Functions, . be a finite dimensional subspace of .. The problem of the Chebyshev approximation of a function . ∈ . by functions from . can be put in the form .. ∈ V. In this paper we solve the two optimization prob-lems ..∈ V and ..∈ V, where both the functions . are upper and lower semicontinuous, respective

處理

天空

A New Decomposition Method in Nonconvex Programming Via a Separable Augmented Lagrangian,erties in the neighbourhood of isolated local minima in the nonconvex case. It can be seen as a separable Augmented Lagrangian method based on the primal resource-directive decomposition scheme. Indeed, the primal allocations work as decoupling variables and each local allocation constraint is penal

MITE

緩和

kidney

Statins

Which Fixed Point Does the Iteration Method Select?,if any) is considered. Two kinds of properties satisfied by this method that cover widely recent results on the prox or gradient-prox method for convex optimization and monotone inclusions are presented: localization and selection.

很是迷惑

AIL

多產(chǎn)魚