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CSCLP
2005
Springer
14 years 1 months ago
A Hybrid Benders' Decomposition Method for Solving Stochastic Constraint Programs with Linear Recourse
Abstract. We adopt Benders’ decomposition algorithm to solve scenariobased Stochastic Constraint Programs (SCPs) with linear recourse. Rather than attempting to solve SCPs via a ...
Armagan Tarim, Ian Miguel
JMLR
2008
169views more  JMLR 2008»
13 years 7 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
WADS
2001
Springer
86views Algorithms» more  WADS 2001»
13 years 12 months ago
Practical Approximation Algorithms for Separable Packing Linear Programs
Abstract. We describe fully polynomial time approximation schemes for generalized multicommodity flow problems arising in VLSI applications such as Global Routing via Buffer Block...
Feodor F. Dragan, Andrew B. Kahng, Ion I. Mandoiu,...
IJCAI
1989
13 years 8 months ago
An Algebraic Approach to Constraint Satisfaction Problems
A constraint satisfaction problem, or CSP, can be reformulated as an integer linear programming problem. The reformulated problem can be solved via polynomial multiplication. If t...
Igor Rivin, Ramin Zabih
SODA
2010
ACM
397views Algorithms» more  SODA 2010»
14 years 4 months ago
Improved Approximation Algorithms for the Minimum Latency Problem via Prize-Collecting Strolls
The minimum latency problem (MLP) is a well-studied variant of the traveling salesman problem (TSP). In the MLP, the server's goal is to minimize the average latency that the...
Aaron Archer, Anna Blasiak