We present fast and simple fully polynomial-time approximation schemes (FPTAS) for generalized versions of maximum flow, multicommodity flow, minimum cost maximum flow, and minimum cost multicommodity flow. We extend and rene fractional packing frameworks introduced in FPTAS’s for traditional multicommodity flow and packing linear programs. Our FPTAS’s dominate the previous best known complexity bounds for all of these problems, some by more than a factor of n², where n is the number of nodes. This is accomplished in part by introducing an ecient method of solving a sequence of generalized shortest path problems. Our generalized multicommodity FPTAS’s are now as fast as the best non-generalized ones. We believe our improvements make it prac...
We present a new strongly polynomial algorithm for generalized flow maximization that is significant...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
Generalized network flow problems generalize normal network flow problems by specifying a flow multi...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approx-imate, combinatorial algorithms for multi...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
We adapt a method proposed by Nesterov [19] to design an algorithm that computes ε-optim...
The multicommodity flow problem (MCF) and the length-bounded flow problem (LBF) are two generalisati...
We present a new strongly polynomial algorithm for generalized flow maximization that is significant...
We present a new strongly polynomial algorithm for generalized flow maximization that is significant...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
Generalized network flow problems generalize normal network flow problems by specifying a flow multi...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
This paper considers the problem of designing fast, approx-imate, combinatorial algorithms for multi...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
This paper considers the problem of designing fast, approximate, combinatorial algorithms for multic...
We adapt a method proposed by Nesterov [19] to design an algorithm that computes ε-optim...
The multicommodity flow problem (MCF) and the length-bounded flow problem (LBF) are two generalisati...
We present a new strongly polynomial algorithm for generalized flow maximization that is significant...
We present a new strongly polynomial algorithm for generalized flow maximization that is significant...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...
We present a new strongly polynomial algorithm for generalized flow maximization. The first strongly...