Greedy algorithm and symmetric matroids
Mathematical Programming: Series A and B
Directed submodularity, ditroids and directed submodular flows
Mathematical Programming: Series A and B
Discrete Mathematics
On totally dual integral systems
Discrete Applied Mathematics
Delta-Matroids, Jump Systems, and Bisubmodular Polyhedra
SIAM Journal on Discrete Mathematics
Mathematical Programming: Series A and B
A combinatorial algorithm minimizing submodular functions in strongly polynomial time
Journal of Combinatorial Theory Series B
A combinatorial strongly polynomial algorithm for minimizing submodular functions
Journal of the ACM (JACM)
Tractable conservative Constraint Satisfaction Problems
LICS '03 Proceedings of the 18th Annual IEEE Symposium on Logic in Computer Science
The complexity of satisfiability problems
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Discrete Convex Analysis: Monographs on Discrete Mathematics and Applications 10
Discrete Convex Analysis: Monographs on Discrete Mathematics and Applications 10
On Steepest Descent Algorithms for Discrete Convex Functions
SIAM Journal on Optimization
Bisubmodular Function Minimization
SIAM Journal on Discrete Mathematics
A dichotomy theorem for constraint satisfaction problems on a 3-element set
Journal of the ACM (JACM)
SIAM Journal on Discrete Mathematics
The approximability of MAX CSP with fixed-value constraints
Journal of the ACM (JACM)
Strongly polynomial and fully combinatorial algorithms for bisubmodular function minimization
Mathematical Programming: Series A and B
The complexity of soft constraint satisfaction
Artificial Intelligence
New algorithms for convex cost tension problem with application to computer vision
Discrete Optimization
Generalized roof duality and bisubmodular functions
Discrete Applied Mathematics
Towards minimizing k-submodular functions
ISCO'12 Proceedings of the Second international conference on Combinatorial Optimization
Tractable triangles and cross-free convexity in discrete optimisation
Journal of Artificial Intelligence Research
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We introduce a new class of functions that can be minimized in polynomial time in the value oracle model. These are functions f satisfying f(x) + f(y) ≥ f(x ∏ y) + f(x ∐ y) where the domain of each variable xi corresponds to nodes of a rooted binary tree, and operations ∏,∐ are defined with respect to this tree. Special cases include previously studied L-convex and bisubmodular functions, which can be obtained with particular choices of trees. We present a polynomial-time algorithm for minimizing functions in the new class. It combines Murota's steepest descent algorithm for L-convex functions with bisubmodular minimization algorithms.