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FOCS
2008
IEEE
12 years 2 days ago
Beating the Random Ordering is Hard: Inapproximability of Maximum Acyclic Subgraph
We prove that approximating the Max Acyclic Subgraph problem within a factor better than 1/2 is Unique-Games hard. Specifically, for every constant ε > 0 the following holds:...
Venkatesan Guruswami, Rajsekar Manokaran, Prasad R...
FOCS
2006
IEEE
11 years 11 months ago
Approximation algorithms for allocation problems: Improving the factor of 1 - 1/e
Combinatorial allocation problems require allocating items to players in a way that maximizes the total utility. Two such problems received attention recently, and were addressed ...
Uriel Feige, Jan Vondrák
PRICAI
1998
Springer
11 years 9 months ago
Dynamic Constraint Weighting for Over-Constrained Problems
Many real-world constraint satisfaction problems (CSPs) can be over-constrained but contain a set of mandatory or hard constraints that have to be satisfied for a solution to be ac...
John Thornton, Abdul Sattar
AAAI
2006
11 years 7 months ago
The Impact of Balancing on Problem Hardness in a Highly Structured Domain
Random problem distributions have played a key role in the study and design of algorithms for constraint satisfaction and Boolean satisfiability, as well as in our understanding o...
Carlos Ansótegui, Ramón Béjar...
IJCAI
1993
11 years 7 months ago
Using Inferred Disjunctive Constraints To Decompose Constraint Satisfaction Problems
Constraint satisfaction problems involve finding values for problem variables that satisfy constraints on what combinations of values are permitted. They have applications in many...
Eugene C. Freuder, Paul D. Hubbe
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