Reducible flow graphs occur naturally in connection with flowcharts of computer programs and are used extensively for code optimization and global data flow analysis. In this paper we present an O(n2 log(n 2/m)) algorithm for finding a maximum cycle packing in any weighted reducible flow graph with n vertices and m arcs; our algorithm heavily relies on Ramachandran's earlier work concerning reducible flow graphs. © 2005 Springer Science + Business Media, Inc.link_to_subscribed_fulltex
When the underlying physical network layer in optimal network flow problems is a large graph, the as...
In this paper, we introduce a new framework for approx-imately solving flow problems in capacitated,...
The minimum-cost flow problem is the following: given a network with n vertices and m edges, find a ...
Reducible flow graphs occur naturally in connection with flow-charts of computer programs and are us...
Abstract Maximum adjacency (MA) ordering has effectively been applied to graph connectivity problems...
Many problems in program optimizationn have been solved by applying a technique called interval anal...
Many problems in program optimization have been solved by applying a technique called interval analy...
The aim of this chapter is to present an overview of the main results for a well-known optimization ...
Several researchers have recently developed new techniques that give fast algorithms for the minimum...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
Summary. The maximum flow problem is a fundamental problem in graph theory and combinatorial optimiz...
We present faster algorithms for approximate maximum flow in undirected graphs with good separator s...
In the generalized max flow problem, the aim is to find a maximum flow in a generalized network, i.e...
The problem is to modify the capacities of the arcs from a network so that a given feasible flow bec...
The depth of a flow graph is the maximum number of back edges in an acyclic path, where a back edge ...
When the underlying physical network layer in optimal network flow problems is a large graph, the as...
In this paper, we introduce a new framework for approx-imately solving flow problems in capacitated,...
The minimum-cost flow problem is the following: given a network with n vertices and m edges, find a ...
Reducible flow graphs occur naturally in connection with flow-charts of computer programs and are us...
Abstract Maximum adjacency (MA) ordering has effectively been applied to graph connectivity problems...
Many problems in program optimizationn have been solved by applying a technique called interval anal...
Many problems in program optimization have been solved by applying a technique called interval analy...
The aim of this chapter is to present an overview of the main results for a well-known optimization ...
Several researchers have recently developed new techniques that give fast algorithms for the minimum...
Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electr...
Summary. The maximum flow problem is a fundamental problem in graph theory and combinatorial optimiz...
We present faster algorithms for approximate maximum flow in undirected graphs with good separator s...
In the generalized max flow problem, the aim is to find a maximum flow in a generalized network, i.e...
The problem is to modify the capacities of the arcs from a network so that a given feasible flow bec...
The depth of a flow graph is the maximum number of back edges in an acyclic path, where a back edge ...
When the underlying physical network layer in optimal network flow problems is a large graph, the as...
In this paper, we introduce a new framework for approx-imately solving flow problems in capacitated,...
The minimum-cost flow problem is the following: given a network with n vertices and m edges, find a ...