Appointment scheduling with discrete random durations
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
A simple combinatorial algorithm for submodular function minimization
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Note: The expressive power of binary submodular functions
Discrete Applied Mathematics
Soft arc consistency revisited
Artificial Intelligence
The complexity of valued constraint models
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
Appointment Scheduling with Discrete Random Durations
Mathematics of Operations Research
Submodular function minimization under a submodular set covering constraint
TAMC'11 Proceedings of the 8th annual conference on Theory and applications of models of computation
New algorithms for convex cost tension problem with application to computer vision
Discrete Optimization
Submodular Approximation: Sampling-based Algorithms and Lower Bounds
SIAM Journal on Computing
Submodular minimization via pathwidth
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Minimizing a sum of submodular functions
Discrete Applied Mathematics
Towards minimizing k-submodular functions
ISCO'12 Proceedings of the Second international conference on Combinatorial Optimization
Compact versus noncompact LP formulations for minimizing convex Choquet integrals
Discrete Applied Mathematics
A characterisation of the complexity of forbidding subproblems in binary Max-CSP
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
Online submodular minimization
The Journal of Machine Learning Research
A computational study for common network design in multi-commodity supply chains
Computers and Operations Research
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We consider the problem of minimizing a submodular function f defined on a set V with n elements. We give a combinatorial algorithm that runs in O(n 5EO + n 6) time, where EO is the time to evaluate f(S) for some $$S \subseteq V$$. This improves the previous best strongly polynomial running time by more than a factor of n. We also extend our result to ring families.