Ordinary Network Flow Theory - Advanced Algorithms - Exam, Exams of Advanced Algorithms

Main points of this exam paper are: Ordinary Network Flow Theory, Directed Graph, Fixed Limit on Total Flow, Restriction on Flow, Maximum Capacity, Feasible Flow, Vertex-Capacitated Graph, Vertex Cover of Graph, Koning Egevary Theorem

Typology: Exams

2012/2013

Uploaded on 04/23/2013

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HW 2: due Thurs, February 3
1. A certain commodity is produced at two factories x1and x2. The com-
modity is to be shipped to markets y1,y2and y3through the network
shown below. What is the maximum ammount that can be shipped
from the factories to the markets?
x1
x2
ab
cd
y1
y2
y3
5
7
18 4
2
7
12
15
4
6
24
e
24
22
19
3713
16
8
2
2. Let Gbe a directed graph with source sand sink t. Suppose the
capacities are specified not on the edges of Gbut on the vertices (other
than s,t); for each vertex there is a fixed limit on the total flow through
it. There is no restriction on flow through the edges. Show how to use
the ordinary network flow theory to determine the maximum capacity
of a feasible flow from sto tin the vertex-capacitated graph G.
3. A vertex cover of a graph is a set of vertices C, such that every edge
has at least one endpoint in C. Use network flows to prove the oning-
Egev´ary theorem, i.e. if Gis bipartite, then the size of the maximal
matching is equal to the size of the minimum vertex cover.

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HW 2: due Thurs, February 3

  1. A certain commodity is produced at two factories x 1 and x 2. The com- modity is to be shipped to markets y 1 , y 2 and y 3 through the network shown below. What is the maximum ammount that can be shipped from the factories to the markets?

x

x

a b

c d

y

y

y

5

7

(^18 ) 2 7

12

15

4

6

24

e 24

22

19 (^3 ) 16 13 8 2

  1. Let G be a directed graph with source s and sink t. Suppose the capacities are specified not on the edges of G but on the vertices (other than s, t); for each vertex there is a fixed limit on the total flow through it. There is no restriction on flow through the edges. Show how to use the ordinary network flow theory to determine the maximum capacity of a feasible flow from s to t in the vertex-capacitated graph G.
  2. A vertex cover of a graph is a set of vertices C, such that every edge has at least one endpoint in C. Use network flows to prove the K´oning- Egev´ary theorem, i.e. if G is bipartite, then the size of the maximal matching is equal to the size of the minimum vertex cover.