netflow - CMSC 451: Network Flows Slides By: Carl Kingsford...

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Unformatted text preview: CMSC 451: Network Flows Slides By: Carl Kingsford Department of Computer Science University of Maryland, College Park Based on Sections 7.1&7.2 of Algorithm Design by Kleinberg & Tardos. Network Flows • Our 4th major algorithm design technique (greedy, divide-and-conquer, and dynamic programming are the others). • A little different than the others: we’ll see an algorithm for one problem (and minor variants) that is so useful that we can apply to to many practical problems. • Called network flow . Network flow problem, e.g. 10 5 2 3 Suppose you want to ship natural gas from Alaska to Texas. There are pipes, each with a capacity. How can you send as much gas as possible? 3 7 8 7 1 3 4 8 10 12 10 Flow Network A flow network is a connected, directed graph G = ( V , E ). • Each edge e has a non-negative, integer capacity c e . • A single source s ∈ V . • A single sink t ∈ V . • No edge enters the source and no edge leaves the sink. s u v t x w 20 10 30 10 10 30 10 20 Assumptions To repeat, we make these assumptions about the network: 1 Capacities are integers. 2 Every node has one edge adjacent to it. 3 No edge enters the source and no edge leaves the sink. These assumptions can all be removed. Flow Def. An s-t flow is a function f : E → R ≥ that assigns a real number to each edge. Intuitively, f ( e ) is the amount of material carried on the edge e . s u v t x w 20 10 30 20 5 30 10 20 10 10 5 15 15 5 10 Flow constraints Constraints on f : 1 ≤ f ( e ) ≤ c e for each edge e . (capacity constraints) 2 For each node v except s and t , we have: X e into v f ( e ) = X e leaving v f ( e ) . (balance constraints: whatever flows in, must flow out). v 10 3 2 7 4 Notation The value of flow f is: v ( f ) = X e out of s f ( e ) This is the amount of material that s is able to send out. Notation: • f in ( v ) = ∑ e into v f ( e ) • f out ( v ) = ∑ e leaving v f ( e ) Balance constraints becomes: f in ( v ) = f out ( v ) for all v 6∈ { s , t } Maximum Flow Problem Definition (Value) The value v ( f ) of a flow f is f out ( s )....
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This note was uploaded on 01/13/2012 for the course CMSC 423 taught by Professor Staff during the Fall '07 term at Maryland.

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netflow - CMSC 451: Network Flows Slides By: Carl Kingsford...

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