Journal of Algebraic Combinatorics: An International Journal
Application of M-Convex Submodular Flow Problem to Mathematical Economics
ISAAC '01 Proceedings of the 12th International Symposium on Algorithms and Computation
Gross substitution, discrete convexity, and submodularity
Discrete Applied Mathematics - Submodularity
Quasi M-convex and L-convex functions: quasiconvexity in discrete optimization
Discrete Applied Mathematics - Submodularity
Discrete Applied Mathematics - Submodularity
Discrete Applied Mathematics
A general two-sided matching market with discrete concave utility functions
Discrete Applied Mathematics
Mathematics of Operations Research
Substitute valuations: Generation and structure
Performance Evaluation
A general two-sided matching market with discrete concave utility functions
Discrete Applied Mathematics
Convexity and optimization of condense discrete functions
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
ESA'11 Proceedings of the 19th European conference on Algorithms
Substitutes and complements in network flows viewed as discrete convexity
Discrete Optimization
Discrete Applied Mathematics
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The concept of M-convex function, introduced by Murota (1996), is a quantitative generalization of the set of integral points in an integral base polyhedron as well as an extension of valuated matroid of Dress and Wenzel (1990). In this paper, we extend this concept to functions on generalized polymatroids with a view to providing a unified framework for efficiently solvable nonlinear discrete optimization problems.