Description
Note. You are to solve problems 2, 3 and 4 by using the following steps:
1. Describe how to construct a flow network.
2. Make a claim. Something like ”this problem has a feasible solution if and
only if the max flow is …”
3. Prove the above claim in both directions
1 Running the Algorithm (15 points)
You are given the following graph G. Each edge is labeled with the capacity of
that edge.
a. Find a max-flow in G using the Ford-Fulkerson algorithm. Draw the residual graph Gf corresponding to the max flow. You do not need to show all
intermediate steps. (10 pts)
b. Find the max-flow value and a min-cut. (5 pts)
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2 Trading Currencies (20 points)
A group of traders are leaving Switzerland, and need to convert their Francs
into various international currencies. There are n traders t1, t2, …, tn and m
currencies c1, c2, …, cm. Trader tk has Fk Francs to convert. For each currency
cj , the bank can convert at most Bj Franks to cj .
Trader tk is willing to trade
as much as Skj of his Francs for currency cj .(For example, a trader with 1000
Francs might be willing to convert up to 200 of his Francs for USD, up to 500 of
his Francs for Japanese’s Yen, and up to 200 of his Francs for Euros). Assuming
that all traders give their requests to the bank at the same time, design an
algorithm that the bank can use to satisfy the requests (if it is possible).
3 Getting Vaccinated (20 points)
After getting vaccinated, students will be able to return to in-person classes next
semester. There will be n students, s1, s2, …, sn, return to in-person classes, and
there will be k in-person classes.
Each in-person class consists of several students
and a student can be enrolled in more than one in-person class. We need to
select one student from each in-person class and the maximum times a student
is selected should be less than m. Design an algorithm that decides if such a
selection exists, or not.
4 Visiting Campus (25 points)
USC Admissions Center needs your help in planning paths for Campus tours
given to prospective students or interested groups. Let USC campus be modeled
as a weighted, directed graph G containing locations V connected by one-way
roads E.
On a busy day, let k be the number of campus tours that have to be
done at the same time. It is required that the paths of campus tours do not
use the same roads. Let the tour have k starting locations A = { a1, a2,…, ak
} ⊂ V .
From the starting locations the groups are taken by a guide on a path
through G to some ending location in B = { b1, b2,…, bk } ⊂ V . Your goal is
to find a path for each group i from the starting location, ai
, to any ending
location bj such that no two paths share any edges, and no two groups end in
the same location bj .
a. Design an algorithm to find k paths ai → bj that start and end at different
vertices and such that they do not share any edges. (15 pts)
b. Modify your algorithm to find k paths ai → bj , that start and end in different
locations and such that they share neither vertices nor edges. (10 pts)
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5 Circulation (20 points)
In the network below, the demand values are shown on vertices (supply value
if negative). Lower bounds on flow and edge capacities are shown as (lower
bound, capacity) for each edge. Determine if there is a feasible circulation in
this graph.
You need to show all your steps.
a. Turn the circulation with lower bounds problem into a circulation problem
without lower bounds. (8 pts)
b. Turn the circulation with demands problem into the maximum flow problem.
(8 pts)
c. Does a feasible circulation exist? Explain your answer. (4 pts)
6 Installing Software (Not Graded)
Suppose that you have just bought a new computer and you want to install software on that. Specifically, two companies, which you can think of like Microsoft
and Apple, are trying to sell their own copy of n different products, like Operation System. Spread Sheet, Web Browser.
For each product i, i ∈ {1, 2, . . . , n},
we have
• the price pi ≥ 0 that Microsoft charges and the price p
0
i ≥ 0 that Apple
charges.
• the quality qi ≥ 0 of Microsoft version and the quality q
0
i ≥ 0 of Apple
version.
For example, Apple may provide a better Web Browser Safari, but Microsoft
a better Word Processor. You want to assemble your favorite computer by
installing exactly one copy of each of the n products, e.g. you want to buy
one operating system, one Web Browser, one Word Processor, etc. However,
you don’t want to spend too much money on that. Therefore, your goal is to
maximize the quality minus total price.
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However, as you may know, the products of different companies may not
be compatible. More concretely, for each product pair (i, j), we will suffer a
penalty τij ≥ 0 if we install product i of Microsoft and product j of Apple.
Note that τij may not be equal to τji just because Apple’s Safari does not work
well on Microsoft Windows doesn’t mean that Microsoft’s Edge does not work
well in Mac-OS.
We assume that products are always compatible internally,
which means that there is no penalty for installing two products from the same
company. All pairwise penalties will be subtracted from the total quality of the
system.
Your task is then to give a polynomial-time algorithm for computing which
product i to purchase from which of the two companies (Apple and Microsoft)
for all i ∈ {1, 2, . . . , n}, to maximize the total system quality (including the
penalties) minus the total price.
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