Titlebook: Integer Programming and Combinatorial Optimization; 11th International I Michael Jünger,Volker Kaibel Conference proceedings 2005 Springer-

诱骗

Disjoint Cycles: Integrality Gap, Hardness, and Approximation,ng vertex-disjoint cycles in . is defined similarly. The best approximation algorithms for edge-disjoint cycle packing are due to Krivelevich et al. [16], where they give an .-approximation for undirected graphs and an .-approximation for directed graphs. They also conjecture that the problem in dir

GLOSS

Improved Approximation Schemes for Linear Programming Relaxations of Combinatorial Optimization Prouncapacitated facility location problem, the scheduling problem . ∥ . . and the set covering problem we substantially improve the running time dependence on . from the previously known .(1/. .) to .(1/.). All these algorithms are remarkably simple to implement. For the survivable network design prob

CRAB

cognizant

Missile

On Approximating Complex Quadratic Optimization Problems via Semidefinite Programming Relaxations,mitian form. These problems capture a class of well–known combinatorial optimization problems, as well as problems in control theory. For instance, they include . where the Laplacian matrix is positive semidefinite (in particular, some of the edge weights can be negative). We present a generic algor

庇护

艺术

,Approximation Algorithms for Semidefinite Packing Problems with Applications to , and Graph Coloring [17] are in this class of problems. We extend a method of Bienstock and Iyengar [5] which was based on ideas from Nesterov [25] to design an algorithm for computing .-approximate solutions for this class of semidefinite programs. Our algorithm is in the spirit of Klein and Lu [18], and decreases t

ABIDE

Blemish

transient-pain