Show that for any integer n that is a power of 2 , there is an instance of the set cover problem (Section 5.4) with the following properties:

  1. There are n elements in the base set.
  2. The optimal cover uses just two sets.
  3. The greedy algorithm picks at least log n sets.

Thus the approximation ratio we derived in the chapter is tight.

Short Answer

Expert verified

Any integer which count with 2 or count with power of 2 it gives elements in base set and optimal cover using two set in greedy algorithm.

Step by step solution

01

Elements of Even /Odd Numbers

Represent a set with n items that would be a positive integer of 2 . Permit the collection to be. (1,2,...,2k) for some K2.

So ideal number of matches would be two. • One has even numbers, while the other has odd numbers. As a result, the two sets will be localid="1658922602021" X=1,3,...,2k-3,2k-1 andY=2,4,...,2k-2,2k.Y=2,4,...,2k-2,2k..

02

Algorithm of number of 2 ’s in odd / even calculation

Now, Take, for example, a greedy algorithm.

Take into account everything. i ,

Let Di=2(k-1),2(k-i)+1,...,2k-i+1.

Clearly,

A=i=1kD1

Asn=2k

Thus,logn=k

Its foundation setting is the combination of sets handled by greedy.

• Although X and Y do not cover and over half of both the elements, they provide the best solution.

D1, on the other hand, actually covers one additional vertex than X or Y .

As a result, there is a close approximated ratio among both greedy and optimum solutions.

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Most popular questions from this chapter

Question: Suppose the symbols a,b,c,d,e occur with frequencies 12,14,18,116,116,respectively.

(a) What is the Huffman encoding of the alphabet?

(b) If this encoding is applied to a file consisting of1,000,1000 characters with the given frequencies, what is the length of the encoded file in bits?

The basic intuition behind Huffman’s algorithm, that frequent blocks should have short encodings and infrequent blocks should have long encodings, is also at work in English, where typical words like I, you, is, and, to, from, and so on are short, and rarely used words like velociraptor are longer.

However, words like fire!, help!, and run! are short not because they are frequent, but perhaps because time is precious in situations where they are used.

To make things theoretical, suppose we have a file composed of m different words, with frequencies f1,...,fm. Suppose also that for the ithword, the cost per bit of encoding is ci. Thus, if we find a prefix-free code where the ithword has a codeword of length Ii, then the total cost of the encoding will be localid="1659078764835" fi·ci·li.

Show how to modify Huffman’s algorithm to find the prefix-free encoding of minimum total cost.

Graphs with prescribed degree sequences. Given a list of n positive integers d1,d2,,dn, we want to efficiently determine whether there exists an undirected graphG=(V,E) whose nodes have degrees preciselyd1,d2,,dn . That is, if V={v1,,vn}, then the degree of vi should be exactly di. We call (d1,,dn) the degree sequence of G. This graph G should not contain self-loops (edges with both endpoints equal to the same node) or multiple edges between the same pair of nodes.

(a) Give an example of d1,d2,d3,d4 where all the di3 and d1+d2+d3+d4 is even, but for which no graph with degree sequence(d1,d2,d3,d4) exists.

(b) Suppose that d1d2d3dn and that there exists a graph G=(V,E) with degree sequence (d1,,dn). We want to show that there must exist a graph that has this degree sequence and where in addition the neighbors of v1 are v2,v3,,vdi+1 . The idea is to gradually transform G into a graph with the desired additional property.

i. Suppose the neighbors ofv1 in Gare not v2,v3,,vdi+1. Show that there exists i<jn and uV and such that {v1,vi},{u,vj}Eand {v1,vj},{u,vi}E

ii. Specify the changes you would make to G to obtain a new graph G'=(V,E') with the same degree sequence as G and where (v1,vi)E'.

iii. Now show that there must be a graph with the given degree sequence but in which v1 has neighbors v2,v3,,vdi+1.

c) Using the result from part (b), describe an algorithm that on input d1,,dn (not necessarily sorted) decides whether there exists a graph with this degree sequence. Your algorithm should run in time polynomial in n and in m=i=1ndi .

Ternary A server has customers waiting to be served. The service time required by eachcustomer is known in advance: it is ciminutes for customer i. So if, for example, the customers are served in order of increasing i , then the ithcustomer has to wait Pij=1tjminutes. We wish to minimize the total waiting time.

T=Xni=1(time spent waiting by customer ).

Give an efficient algorithm for computing the optimal order in which to process the customers.

Under a Huffman encoding of symbols with frequenciesf1,f2,.....,fn , what is the longest a codeword could possibly be? Give an example set of frequencies that would produce this case.

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