Submodular functions are common in combinatorics; examples include the cut capacity function of a graph and the rank function of a matroid. The submodular function minimization problem generalizes the classical minimum cut problem and also contains a number of other combinatorial optimization problems as special cases. In this thesis, we study submodular function minimization and two related problems: matroid polyhedron membership and matroid intersection. A significant contribution concerns algorithms for the latter problems due to Cunningham. In particular, we identify and correct errors in the original proofs of the running time bounds for these algorithms
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
In this thesis, we consider combinatorial optimization problems involving submodular functions and ...
We present an optimal, combinatorial 1−1/e approximation algorithm for monotone submodular optimizat...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractWe give a strongly polynomial-time algorithm minimizing a submodular function f given by a v...
We consider fast algorithms for monotone submodular maximization subject to a matroid constraint. We...
This paper presents a new simple algorithm for minimizing submodular functions. For integer valued s...
This paper presents the first combinatorial polynomial-time algorithm for minimizing submodular func...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
URL to paper from conference siteSubmodular functions are a key concept in combinatorial optimizatio...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
We present an optimal, combinatorial 1-1/e approximation algorithm for monotone submodular optimizat...
Submodular function maximization is a central problem in combinatorial optimization, generalizing ma...
Despite a surge of interest in submodular maximization in the data stream model, there remain signif...
Submodular function maximization is a central problem in combinatorial optimization, generalizing ma...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
In this thesis, we consider combinatorial optimization problems involving submodular functions and ...
We present an optimal, combinatorial 1−1/e approximation algorithm for monotone submodular optimizat...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractWe give a strongly polynomial-time algorithm minimizing a submodular function f given by a v...
We consider fast algorithms for monotone submodular maximization subject to a matroid constraint. We...
This paper presents a new simple algorithm for minimizing submodular functions. For integer valued s...
This paper presents the first combinatorial polynomial-time algorithm for minimizing submodular func...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
URL to paper from conference siteSubmodular functions are a key concept in combinatorial optimizatio...
Submodular functions are the functions that frequently appear in connection with many combi-natorial...
We present an optimal, combinatorial 1-1/e approximation algorithm for monotone submodular optimizat...
Submodular function maximization is a central problem in combinatorial optimization, generalizing ma...
Despite a surge of interest in submodular maximization in the data stream model, there remain signif...
Submodular function maximization is a central problem in combinatorial optimization, generalizing ma...
Many combinatorial optimization problems have underlying goal functions that are submodular. The cla...
In this thesis, we consider combinatorial optimization problems involving submodular functions and ...
We present an optimal, combinatorial 1−1/e approximation algorithm for monotone submodular optimizat...