In this paper we discuss strategies for constructing approximation algorithms for solving the Min-k-cut problem, the Min-k-certex sharing problem, and their generalization the Min-k-overlap problem. In each case, we first formulate an appropriate submodular function and construct its principal lattice of partitions (PLP) (H. Narayanan, Linear Algebra Appl. 144 (1991), 179-216), Applying an elementary strategy on an appropriate subinterval of the PLP yields the approximation algorithms. We give two such strategies. For convenience and greater generality we present our results in terms of bipartite graphs (which may be regarded as representing hypergraphs). We observe that the Min-k-cut problem is NP-Hard (O. Goldschmidt and D. S. Hochbaum, i...
We consider the following problem: Given a graph with edge lengths satisfying the triangle inequalit...
Abstract. We introduce a new combinatorial optimization problem in this paper, called the Minimum Co...
This paper gives poly-logarithmic-round, distributed δ-approximation algorithms for covering problem...
Also published as report no. SFB-303--94827Available from TIB Hannover: RN 4052(94827) / FIZ - Fachi...
Given a graph G, the sparsest-cut problem asks to find the set of vertices S which has the least exp...
The submodular system k-partition problem is a problem of partitioning a given finite set V into k n...
AbstractWe consider the following problem: Given a graph with edge lengths satisfying the triangle i...
We study graph partitioning problems from a min-max perspective, in which an input graph on n vertic...
We study graph partitioning problems from a min-max perspective, in which an input graph on $n$ vert...
Abstract. We study graph partitioning problems from a min-max perspective, in which an input graph o...
Abstract. In this paper, we continue the investigation made in [11] about the approximability of Pk ...
In this thesis, we consider combinatorial optimization problems involving submodular functions and g...
Partitioning a permutation into a minimum number of monotone subsequences is NP-hard. We extend this...
Given matrices A and B and vectors a, b, c and d, all with non-negative entries, we consider the pro...
AbstractGiven matrices A and B and vectors a, b, c and d, all with non-negative entries, we consider...
We consider the following problem: Given a graph with edge lengths satisfying the triangle inequalit...
Abstract. We introduce a new combinatorial optimization problem in this paper, called the Minimum Co...
This paper gives poly-logarithmic-round, distributed δ-approximation algorithms for covering problem...
Also published as report no. SFB-303--94827Available from TIB Hannover: RN 4052(94827) / FIZ - Fachi...
Given a graph G, the sparsest-cut problem asks to find the set of vertices S which has the least exp...
The submodular system k-partition problem is a problem of partitioning a given finite set V into k n...
AbstractWe consider the following problem: Given a graph with edge lengths satisfying the triangle i...
We study graph partitioning problems from a min-max perspective, in which an input graph on n vertic...
We study graph partitioning problems from a min-max perspective, in which an input graph on $n$ vert...
Abstract. We study graph partitioning problems from a min-max perspective, in which an input graph o...
Abstract. In this paper, we continue the investigation made in [11] about the approximability of Pk ...
In this thesis, we consider combinatorial optimization problems involving submodular functions and g...
Partitioning a permutation into a minimum number of monotone subsequences is NP-hard. We extend this...
Given matrices A and B and vectors a, b, c and d, all with non-negative entries, we consider the pro...
AbstractGiven matrices A and B and vectors a, b, c and d, all with non-negative entries, we consider...
We consider the following problem: Given a graph with edge lengths satisfying the triangle inequalit...
Abstract. We introduce a new combinatorial optimization problem in this paper, called the Minimum Co...
This paper gives poly-logarithmic-round, distributed δ-approximation algorithms for covering problem...