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Multicommodity flow
, 2005
"... Leighton and Rao use multicommodity flow results to design the first polynomial time approximation algorithms for well known NPHard optimization problems. Such problems include graph ..."
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Leighton and Rao use multicommodity flow results to design the first polynomial time approximation algorithms for well known NPHard optimization problems. Such problems include graph
Multicommodity Flows
"... In this lecture, we consider multicommodity flow problems and the relationships between maximum flows and minimum cuts in such networks. It is wellknown that for a single commodity, the maxflow is equal to the mincut; however, this does not generalize for multiple commodities. Here, we will discu ..."
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In this lecture, we consider multicommodity flow problems and the relationships between maximum flows and minimum cuts in such networks. It is wellknown that for a single commodity, the maxflow is equal to the mincut; however, this does not generalize for multiple commodities. Here, we
Multicommodity Flows and Column Generation
, 2006
"... The goal of this chapter is to give a short introduction into multicommodity flows and column generation. Both will be used later on. ..."
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The goal of this chapter is to give a short introduction into multicommodity flows and column generation. Both will be used later on.
MULTICOMMODITY FLOW PROBLEMS
"... Solving large scale linear multicommodity flow problems with an active set strategy and proximalaccpm ..."
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Solving large scale linear multicommodity flow problems with an active set strategy and proximalaccpm
Multicommodity Flows and Approximation Algorithms
, 1994
"... This thesis is about multicommodity flows and their use in designing approximation algorithms for problems involving cuts in graphs. In a groundbreaking work Leighton and Rao [34] showed an approximate maxflow mincut theorem for uniform multicommodity flow and used this to obtain an approximation ..."
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Cited by 4 (0 self)
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This thesis is about multicommodity flows and their use in designing approximation algorithms for problems involving cuts in graphs. In a groundbreaking work Leighton and Rao [34] showed an approximate maxflow mincut theorem for uniform multicommodity flow and used this to obtain
Multicommodity flow in Polynomial time
, 2009
"... The multicommodity flow problem is NPhard already for two commodities over bipartite graphs. Nonetheless, using our recent theory of nfold integer programming and extensions developed herein, we are able to establish the surprising polynomial time solvability of the problem in two broad situations ..."
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The multicommodity flow problem is NPhard already for two commodities over bipartite graphs. Nonetheless, using our recent theory of nfold integer programming and extensions developed herein, we are able to establish the surprising polynomial time solvability of the problem in two broad
The Integer Multicommodity Flow Problem
"... + (v) are the sets of arcs into and out of v, respectively. 3. demand: P e2ffi + (s i ) f i (e) d i . 4. integrality: all the flows f i (e) are integral. As stated above, the problem may be infeasible if the capacities available do not suffice to satisfy the demands. This lecture considers the ..."
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the integer multicommodity flow problem where we do not enforce any demand constraints, the flow shipped for any commodity is less or equal to 1, and the goal is to maximize the total flow over all commodities. 2 An LPbased approximation algorithm The integer multicommodity flow problem can be written
Faster and simpler algorithms for multicommodity flow and other fractional packing problems
"... This paper considers the problem of designing fast, approximate, combinatorial algorithms for multicommodity flows and other fractional packing problems. We present new faster and much simpler algorithms for these problems. ..."
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Cited by 325 (5 self)
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This paper considers the problem of designing fast, approximate, combinatorial algorithms for multicommodity flows and other fractional packing problems. We present new faster and much simpler algorithms for these problems.
Fast Approximation Algorithms for Multicommodity Flow Problems
 JOURNAL OF COMPUTER AND SYSTEM SCIENCES
, 1991
"... All previously known algorithms for solving the multicommodity flow problem with capacities are based on linear programming. The best of these algorithms [15] uses a fast matrix multiplication algorithm and takes O(k 3:5 n 3 m :5 log(nDU )) time for the multicommodity flow problem with inte ..."
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Cited by 191 (21 self)
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All previously known algorithms for solving the multicommodity flow problem with capacities are based on linear programming. The best of these algorithms [15] uses a fast matrix multiplication algorithm and takes O(k 3:5 n 3 m :5 log(nDU )) time for the multicommodity flow problem
On the Core of the Multicommodity Flow Game
"... In [26], Papadimitriou proposed a game theoretic framework for analyzing incentive issues in Internet routing. In particular he defined the following coalitional game: Given a network with a multicommodity flow satisfying node capacity and demand constraints, the payoff of a node is the total flow o ..."
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In [26], Papadimitriou proposed a game theoretic framework for analyzing incentive issues in Internet routing. In particular he defined the following coalitional game: Given a network with a multicommodity flow satisfying node capacity and demand constraints, the payoff of a node is the total flow
Results 1  10
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