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CP
2003
Springer
15 years 8 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
AAAI
2004
15 years 4 months 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
SIAMCOMP
2010
125views more  SIAMCOMP 2010»
14 years 9 months ago
Approximating Steiner Networks with Node-Weights
The (undirected) Steiner Network problem is: given a graph = ( , ) with edge/node-weights and edge-connectivity requirements { ( , ) : , }, find a minimumweight subgraph of conta...
Zeev Nutov
DIALM
2008
ACM
139views Algorithms» more  DIALM 2008»
15 years 4 months ago
Approximating maximum integral flows in wireless sensor networks via weighted-degree constrained k-flows
We consider the Maximum Integral Flow with Energy Constraints problem: given a directed graph G = (V, E) with edge-weights {w(e) : e E} and node battery capacities {b(v) : v V }...
Zeev Nutov
ECAI
2000
Springer
15 years 6 months ago
Efficient Asymptotic Approximation in Temporal Difference Learning
Abstract. TD(
Frédérick Garcia, Florent Serre