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PPDP
2010
Springer
15 years 2 months ago
A declarative approach to robust weighted Max-SAT
The presence of uncertainty in the real world makes robustness to be a desired property of solutions to constraint satisfaction problems. Roughly speaking, a solution is robust if...
Miquel Bofill, Dídac Busquets, Mateu Villar...
ICPP
2008
IEEE
15 years 10 months ago
Solving Large, Irregular Graph Problems Using Adaptive Work-Stealing
Solving large, irregular graph problems efficiently is challenging. Current software systems and commodity multiprocessors do not support fine-grained, irregular parallelism wel...
Guojing Cong, Sreedhar B. Kodali, Sriram Krishnamo...
PDPTA
1996
15 years 5 months ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker
AAIM
2007
Springer
116views Algorithms» more  AAIM 2007»
15 years 10 months ago
Solving Generalized Maximum Dispersion with Linear Programming
The Generalized Maximum Dispersion problem asks for a partition of a given graph into p vertex-disjoint sets, each of them having at most k vertices. The goal is to maximize the to...
Gerold Jäger, Anand Srivastav, Katja Wolf
AI
2001
Springer
15 years 8 months ago
Search Techniques for Non-linear Constraint Satisfaction Problems with Inequalities
In recent years, interval constraint-based solvers have shown their ability to efficiently solve challenging non-linear real constraint problems. However, most of the working syst...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...