A General Class of Greedily Solvable Linear Programs
Mathematics of Operations Research
A Hierarchical Model for Cooperative Games
SAGT '08 Proceedings of the 1st International Symposium on Algorithmic Game Theory
Lattices and maximum flow algorithms in planar graphs
WG'10 Proceedings of the 36th international conference on Graph-theoretic concepts in computer science
On greedy and submodular matrices
TAPAS'11 Proceedings of the First international ICST conference on Theory and practice of algorithms in (computer) systems
A primal-dual algorithm for weighted abstract cut packing
IPCO'11 Proceedings of the 15th international conference on Integer programming and combinatoral optimization
On generalizations of network design problems with degree bounds
IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
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We present greedy algorithms for some classes of combinatorial packing and cover problems within the general formal framework of Hoffman and Schwartz' lattice polyhedra. Our algorithms compute in a first phase Monge solutions for the associated dual cover and packing problems and then proceed to construct greedy solutions for the primal problems in a second phase. We show optimality of the algorithms under certain sub- and supermodular assumptions and monotone constraints. For supermodular lattice polyhedra with submodular constraints, our algorithms offer the farthest reaching generalization of Edmonds' polymatroid greedy algorithm currently known.