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MP
2008
91views more  MP 2008»
15 years 2 months ago
The rate of convergence of the augmented Lagrangian method for nonlinear semidefinite programming
We analyze the rate of local convergence of the augmented Lagrangian method for nonlinear semidefinite optimization. The presence of the positive semidefinite cone constraint requ...
Defeng Sun, Jie Sun, Liwei Zhang
ANOR
2005
124views more  ANOR 2005»
15 years 2 months ago
On Compact Formulations for Integer Programs Solved by Column Generation
Column generation has become a powerful tool in solving large scale integer programs. It is well known that most of the often reported compatibility issues between pricing subprobl...
Daniel Villeneuve, Jacques Desrosiers, Marco E. L&...
COR
2011
14 years 10 months ago
Faster integer-feasibility in mixed-integer linear programs by branching to force change
Branching in mixed-integer (or integer) linear programming requires choosing both the branching variable and the branching direction. This paper develops a number of new methods f...
Jennifer Pryor, John W. Chinneck
OL
2011
177views Neural Networks» more  OL 2011»
14 years 5 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
SPAA
2009
ACM
16 years 3 months ago
An optimal local approximation algorithm for max-min linear programs
In a max-min LP, the objective is to maximise subject to Ax 1, Cx 1, and x 0 for nonnegative matrices A and C. We present a local algorithm (constant-time distributed algorith...
Patrik Floréen, Joel Kaasinen, Petteri Kask...