Sciweavers

AAAI
2004
14 years 26 days ago
The Practice of Approximated Consistency for Knapsack Constraints
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorith...
Meinolf Sellmann
AAAI
2010
14 years 27 days ago
Filtering Bounded Knapsack Constraints in Expected Sublinear Time
We present a highly efficient incremental algorithm for propagating bounded knapsack constraints. Our algorithm is based on the sublinear filtering algorithm for binary knapsack c...
Yuri Malitsky, Meinolf Sellmann, Radoslaw Szymanek
CP
2003
Springer
14 years 4 months ago
Approximated Consistency for Knapsack Constraints
Knapsack constraints are a key modeling structure in discrete optimization and form the core of many real-life problem formulations. Only recently, a cost-based filtering algorit...
Meinolf Sellmann
STOC
2009
ACM
163views Algorithms» more  STOC 2009»
15 years 1 days ago
Non-monotone submodular maximization under matroid and knapsack constraints
Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hy...
Jon Lee, Vahab S. Mirrokni, Viswanath Nagarajan, M...