Consider the following variation on the change-making problem (Exercise 6.17): you are given denominations x1,x2,...,xn, and you want to make change for a value v, but you are allowed to use each denomination at most once. For instance, if the denominations are 1,5,10,20,then you can make change for 16=1+15and for 31=1+10+20but not for 40(because you can’t use 20 twice).

Input: Positive integers; x1,x2,...,xnanother integer v.

Output: Can you make change for v, using each denominationxi at most once?Show how to solve this problem in time O(nV).

Short Answer

Expert verified

The problem can also be solved by dynamic programming.

Di,0=Truefori=0 to n   Di,0=Truefori=1 to n   forj=1 to V

      ifxi1j         Di,j=Di1,jxi1OR Di1,j      else         Di,j=Di1,jreturn Dn,V

Step by step solution

01

Defining the recurrence relation

Let the sub problem be Dn,V.

A sub-problemDvxi is made at each step, from unused denomination.

The possible cases are:

  • Dn1,Vxn=TRUEimplies that coin of denomination xn is used to make value V, so Vxncan be made using n1number of coins. So, Dn,Vwill also be true.
  • Dn1,V=TRUE implies that a coin with denomination xnis not used to make value V and V can be made fromn1 coin, soDn,V is true.
  • If both above discussed cases are not true that means,Dn,V then V cannot be obtained from n coins.

Based on above conditions, the recurrence relation is as follows:

Dn,V=1;EDn1,VxnORDn1,V0;otherwise

02

Determine an algorithm

The algorithm is given as follows:

Consider an array of coins

Di,0=Truefori=0 to n   Di,0=Truefori=1 to n   forj=1 to V

      ifxi1j         Di,j=Di1,jxi1OR Di1,j      else         Di,j=Di1,jreturn Dn,V

03

Analyse the time complexity of an algorithm

The first loop runs for n times. There two nested loops takes nV times. Since, n<<nV

Thus, the runtime of the algorithm is OnV.

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Most popular questions from this chapter

A subsequence is palindromic if it is the same whether read left to right or right to left. For instance, the sequence

A,C,G,T,G,T,C,A,A,A,A,T,C,G

has many palindromic subsequences, including A,C,G,C,Aand A,A,A,A(on the other hand, the subsequence A,C,Tis not palindromic). Devise an algorithm that takes a sequence X[1...n]and returns the (length of the) longest palindromic subsequence. Its running time should be0(n2).

Here is yet another variation on the change-making problem (Exercise 6.17). Given an unlimited supply of coins of denominations x1,x2,x3.........xnwe wish to make change for a value v using at most k coins; that is, we wish to find a set ofkcoins whose total value is v. This might not be possible: for instance, if the denominations are 5 and 10 and k=6, then we can make change for 55 but not for 65. Give an efficient dynamic-programming algorithm for the following problem. Input: ; x1,x2,x3.........xn;k;v.Question: Is it possible to make change for v using at most k coins, of denominations x1,x2,x3.........xn?

A contiguous subsequence of a list Sis a subsequence made up of consecutive elements of S. For instance, if Sis 5,15,30,10,5,40,10

then15,30,10 is a contiguous subsequence but5,15,40 is not. Give a linear-time algorithm for the following task:Input: A list of numbers a1,a2,...,an.

Output: The contiguous subsequence of maximum sum (a subsequence of length zero has sum zero).For the preceding example, the answer would be 10,5,40,10, with a sum of 55. (Hint: For each j{1,2,...,n}, consider contiguous subsequences ending exactly at position j.)

Counting heads. Given integersn and k, along with p1,...,pn[0,1], you want to determine the probability of obtaining exactly heads when biased coins are tossed independently at random, where pi is the probability that the ith coin comes up heads. Give an 0(n2)algorithm for this task. Assume you can multiply and add two numbers in [0,1]in 0(1)time.

Suppose two teams, A and B, are playing a match to see who is the first to win games (for some particular n). We can suppose that A and B are equally competent, so each has a 50% chance of winning any particular game. Suppose they have already played i+j games, of which A has won i and B has won j. Give an efficient algorithm to compute the probability that A will go on to win the match. For example, if i=n-1 and j=n-3 then the probability that A will win the match is 78, since it must win any of the next three games.

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