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The Rank Aggregation Problem

The Rank Aggregation Problem

The Rank Aggregation Problem. David P. Williamson Cornell University Universidade Federal de Minas Gerais December 10, 2012. Outline. An old problem and one formulation of it Some modern-day applications Related work in approximation algorithms Some computational results Conclusion.

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555 views • 55 slides
15.082J & 6.855J & ESD.78J October 7, 2010

15.082J & 6.855J & ESD.78J October 7, 2010

15.082J & 6.855J & ESD.78J October 7, 2010. Introduction to Maximum Flows. The Max Flow Problem. G = (N,A) x ij = flow on arc (i,j) u ij = capacity of flow in arc (i,j) s = source node t = sink node. Maximize v

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452 views • 34 slides
s 2

s 2

3. 3. 1. 3. s 1. 3. 2. 3. 1. t. 1. 1. 2. s 2. 2. 4. 3. 4. b s 1 = 2 b s 2 = 2 b t =-4. the black number next to an arc is its capacity. 3. 3. 1. 1. 3. 1. s 1. 3. 5. 2. 6. 3. 5. 1. 5. t. 1. 1. 1. 1. 2. 1. s 2. 2. 4. 3. 3. 4. 2. b s 1 = 2

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263 views • 25 slides
Network Analysis

Network Analysis

Network Analysis. Maxflow. What is a Network?. Directed connected graph Source node Sink (destination node) Arcs are weighted (costs) Represent a system. Maxflow problem. Determine the greatest flow through the network from Source to Sink. Source generates flow Sink consumes flow

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349 views • 24 slides
4

4

3. 1. 2. 4. 3. 2. 3. 1. t. 1. 1. s. 2. 4. 2. 4. 4. the black number next to an arc is its capacity. 3. 1. 2. 4. 3. 2. 3. 1. t. 1. 1. s. 2. 4. 2. 4. 4. C ts = -1. Set costs all other arcs at 0 The minimum cost flow circulation (Af=0)

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313 views • 17 slides

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