In this paper, we study the structure of optimal solutions to the submodular function minimization problem. We introduce prime sets and pseudo-prime sets as basic building block of minimizer sets, and investigate composition, decomposition, recognition, and certification of prime sets. We show how Schrijver's submodular function minimization algorithm can be modified to construct in polynomial time a prime or pseudoprime decomposition of the ground set V. We also show that the final vector x obtained by this algorithm is an extreme point of the polyhedron P:= { x <= 0 : x(A) <= f(A), for all subsets A of V }
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...
Artículo de publicación ISI.We present an efficient algorithm to find nonempty minimizers of a symme...
For a given submodular function f on a nite set V , we consider the problem of nding a nonempty and ...
AbstractThe submodular function minimization problem (SFM) is a fundamental problem in combinatorial...
The submodular function minimization problem (SFM) is a fundamental problem in combinatorial optimiz...
We study two classes of constrained submodular minimisation problems, where a submodular function f ...
This paper presents the first combinatorial polynomial-time algorithm for minimizing submodular func...
The submodular function minimization problem (SFM) is a fundamental problem in combinatorial optimiz...
We extend the work of Narasimhan and Bilmes [30] for minimizing set functions representable as a dif...
In this paper we investigate k-submodular functions. This natural family of discrete functions inclu...
Presented at the Georgia Tech Algorithms & Randomness Center workshop: Modern Aspects of Submodular...
This paper presents a combinatorial polynomial-time algorithm for minimizing submolular set function...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
We present an efficient algorithm to find nonempty minimizers of a symmetric submodular function f o...
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...
Artículo de publicación ISI.We present an efficient algorithm to find nonempty minimizers of a symme...
For a given submodular function f on a nite set V , we consider the problem of nding a nonempty and ...
AbstractThe submodular function minimization problem (SFM) is a fundamental problem in combinatorial...
The submodular function minimization problem (SFM) is a fundamental problem in combinatorial optimiz...
We study two classes of constrained submodular minimisation problems, where a submodular function f ...
This paper presents the first combinatorial polynomial-time algorithm for minimizing submodular func...
The submodular function minimization problem (SFM) is a fundamental problem in combinatorial optimiz...
We extend the work of Narasimhan and Bilmes [30] for minimizing set functions representable as a dif...
In this paper we investigate k-submodular functions. This natural family of discrete functions inclu...
Presented at the Georgia Tech Algorithms & Randomness Center workshop: Modern Aspects of Submodular...
This paper presents a combinatorial polynomial-time algorithm for minimizing submolular set function...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
We present an efficient algorithm to find nonempty minimizers of a symmetric submodular function f o...
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...
Artículo de publicación ISI.We present an efficient algorithm to find nonempty minimizers of a symme...