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» A New Approach to Strongly Polynomial Linear Programming
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AIPS
2008
15 years 3 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
FCT
2007
Springer
15 years 7 months ago
Analysis of Approximation Algorithms for k-Set Cover Using Factor-Revealing Linear Programs
We present new combinatorial approximation algorithms for k-set cover. Previous approaches are based on extending the greedy algorithm by efficiently handling small sets. The new a...
Stavros Athanassopoulos, Ioannis Caragiannis, Chri...
UAI
2008
15 years 2 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht
MP
2007
142views more  MP 2007»
15 years 29 days ago
Active-constraint variable ordering for faster feasibility of mixed integer linear programs
The selection of the branching variable can greatly affect the speed of the branch and bound solution of a mixed-integer or integer linear program. Traditional approaches to branc...
Jagat Patel, John W. Chinneck
PPOPP
2009
ACM
16 years 2 months ago
Transactional memory with strong atomicity using off-the-shelf memory protection hardware
This paper introduces a new way to provide strong atomicity in an implementation of transactional memory. Strong atomicity lets us offer clear semantics to programs, even if they ...
Martín Abadi, Tim Harris, Mojtaba Mehrara