This paper defines an incremental version of the maximum flow problem. In this model, the capacities increase over time and the resulting solution is a sequence of flows that build on each other incrementally. Thus far, incremental problems considered in the literature have been built on NP-complete problems. To the best of our knowledge, our results are the first to find a polynomial time problem whose incremental version is NP-complete. We present approximation algorithms and hardness results for many versions of this problem, and comment on the relation to multicommodity flow
Abstract. In this paper, we establish max-flow min-cut theorems for several important classes of mul...
Flows over time (also called dynamic flows) generalize standard network flows by introducing an elem...
Flows over time (dymanic flows) generalize standard network flows by introducing a new element- time...
This paper defines a hierarchical version of the maximum flow problem. In this model, the capaciti...
Many combinatorial optimization problems aim to select a subset of elements of maximum value subjec...
We present fast and simple fully polynomial-time approximation schemes (FPTAS) for generalized versi...
In this paper, we introduce a new framework for approx-imately solving flow problems in capacitated,...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018Cataloged from...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
The multicommodity flow problem (MCF) and the length-bounded flow problem (LBF) are two generalisati...
Summary. The maximum flow problem is a fundamental problem in graph theory and combinatorial optimiz...
We compare two multicommodity flow problems, the maximum sum of flow, and the maximum concurrent flo...
Doctor of PhilosophyDepartment of MathematicsNathan AlbinMaximum flow problems involve finding a fea...
Original manuscript May 8, 2012The maximum multicommodity flow problem is a natural generalization o...
In this paper we consider an optimization version of the multicommodity flow problem which is known ...
Abstract. In this paper, we establish max-flow min-cut theorems for several important classes of mul...
Flows over time (also called dynamic flows) generalize standard network flows by introducing an elem...
Flows over time (dymanic flows) generalize standard network flows by introducing a new element- time...
This paper defines a hierarchical version of the maximum flow problem. In this model, the capaciti...
Many combinatorial optimization problems aim to select a subset of elements of maximum value subjec...
We present fast and simple fully polynomial-time approximation schemes (FPTAS) for generalized versi...
In this paper, we introduce a new framework for approx-imately solving flow problems in capacitated,...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018Cataloged from...
AbstractAll previously known algorithms for solving the multicommodity flow problem with capacities ...
The multicommodity flow problem (MCF) and the length-bounded flow problem (LBF) are two generalisati...
Summary. The maximum flow problem is a fundamental problem in graph theory and combinatorial optimiz...
We compare two multicommodity flow problems, the maximum sum of flow, and the maximum concurrent flo...
Doctor of PhilosophyDepartment of MathematicsNathan AlbinMaximum flow problems involve finding a fea...
Original manuscript May 8, 2012The maximum multicommodity flow problem is a natural generalization o...
In this paper we consider an optimization version of the multicommodity flow problem which is known ...
Abstract. In this paper, we establish max-flow min-cut theorems for several important classes of mul...
Flows over time (also called dynamic flows) generalize standard network flows by introducing an elem...
Flows over time (dymanic flows) generalize standard network flows by introducing a new element- time...