During the last few years submodularity has intensively been investigated in combinatorial optimization, because it frequently appears in combinatorial systems like networks, graphs and polyhedra. The polyhedral aspects of matroids lead to the concept of polymatroids which can be generated by submodular functions. Because special generalized polyhedra can be generated by the so-called bisubmodular functions as a generalization of the ordinary submodular functions, these functions have recently become more and more important. Bisubmodular functions characterize functions on polyhedra for which an optimal solution with respect to a linear objective can be determined by a generalized greedy technique. In this paper sets of submodular and bisub...
AbstractIt has widely been recognized that submodular set functions and base polyhedra associated wi...
The present paper shows an extension of the theory of principal partitions for submodular functions ...
AbstractThe submodular function minimization problem (SFM) is a fundamental problem in combinatorial...
This paper deals with polymatroids, generalized and bisubmodular polytopes that are expressed by a s...
This paper presents the first combinatorial polynomial algorithm for minimizing bisubmodular functio...
In this paper we investigate k-submodular functions. This natural family of discrete functions inclu...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
Motivated by resource allocation problems (RAPs) in power management applications, we investigate so...
Submodular functions are powerful tools to model and solve either to optimality or approximately man...
A greedy algorithm solves a dual pair of linear programs where the primal variables are associated t...
Submodular functions play a key role in combinatorial opti-mization and in the study of valued const...
Submodular functions occur in many combinatorial optimisation problems and a number of polynomial-ti...
Submodular functions are powerful tools to model and solve either to optimality or approximately man...
Submodularity is a fundamental phenomenon in combinatorial optimization. Submodular func-tions occur...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
AbstractIt has widely been recognized that submodular set functions and base polyhedra associated wi...
The present paper shows an extension of the theory of principal partitions for submodular functions ...
AbstractThe submodular function minimization problem (SFM) is a fundamental problem in combinatorial...
This paper deals with polymatroids, generalized and bisubmodular polytopes that are expressed by a s...
This paper presents the first combinatorial polynomial algorithm for minimizing bisubmodular functio...
In this paper we investigate k-submodular functions. This natural family of discrete functions inclu...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
Motivated by resource allocation problems (RAPs) in power management applications, we investigate so...
Submodular functions are powerful tools to model and solve either to optimality or approximately man...
A greedy algorithm solves a dual pair of linear programs where the primal variables are associated t...
Submodular functions play a key role in combinatorial opti-mization and in the study of valued const...
Submodular functions occur in many combinatorial optimisation problems and a number of polynomial-ti...
Submodular functions are powerful tools to model and solve either to optimality or approximately man...
Submodularity is a fundamental phenomenon in combinatorial optimization. Submodular func-tions occur...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
AbstractIt has widely been recognized that submodular set functions and base polyhedra associated wi...
The present paper shows an extension of the theory of principal partitions for submodular functions ...
AbstractThe submodular function minimization problem (SFM) is a fundamental problem in combinatorial...