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A convex analysis approach for convex multiplicative programming
(SpringerDordrechtHolanda, 2008)
An outcome space approach for generalized convex multiplicative programs
(SpringerDordrechtHolanda, 2010)
Polyhedral studies on the convex recoloring problem
(ElsevierAmsterdam, 2013-11-05)
A coloring of the vertices of a graph G is convex if, for each assigned color d, the vertices with color d induce a connected subgraph of G. We address the convex recoloring problem, defined as follows. Given a graph G and ...
Optimality conditions for nonlinear infinite programming problems
(2015-08-29)
An infinite programming problem consists in minimizing a functional defined on a real Banach space under an infinite number of constraints. The main purpose of this article is to provide sufficient conditions of optimality ...
Planning of Reserve Branches to Increase Reconfiguration Capability in Distribution Systems: A Scenario-Based Convex Programming Approach
(2021-01-01)
Distribution networks are usually designed with a fixed tree-shape topology, which limits its adapting capability against failures and excessive variation of load/generation. Reconfiguration is an important tool to optimize ...
H-2 robust filter design with performance certificate via convex programming
(Pergamon-elsevier Science LtdOxfordInglaterra, 2008)
Orthogonal packing of identical rectangles within isotropic convex regions
(PERGAMON-ELSEVIER SCIENCE LTD, 2010)
A mixed integer continuous nonlinear model and a solution method for the problem of orthogonally packing identical rectangles within an arbitrary convex region are introduced in the present work. The convex region is assumed ...
Hessian Riemannian gradient flows in convex programming
(SIAM PUBLICATIONS, 2004)
In view of solving theoretically constrained minimization problems, we investigate the properties of the gradient flows with respect to Hessian Riemannian metrics induced by Legendre functions. The first result characterizes ...
A convex chance-constrained model for reactive power planning
(2015-10-01)
This paper presents a new approach for long-term reactive power investment planning and operation using a multiperiod mixed-integer stochastic convex model, where load uncertainty is also included. The risk of not meeting ...
Approximate dynamic programming via direct search in the space of value function approximations
(Elsevier Science BvAmsterdamHolanda, 2011)