Given two strings x=x1x2···xnand y=y1y2···ym, we wish to find the length of their longest common subsequence, that is, the largest k for which there are indices i1<i2<···<ikand j1<j2<···<jkwith xi1xi2···xik=yj1yj2···yjk. Show how to do this in time 0(mn).

Short Answer

Expert verified

There are two approaches to doing this problem:

1. Brute Force Method

Here, we will consider all the substring of stringx=x1x2···xnand check if how many of those possible substrings of x can be found in stringy=y1y2···ym.

And also keeping track of maximum length of common substring.

But in this case, the run time is much greater then0mn.

2.Dynamic Algorithm Method

Here simultaneously we will find the longest suffix string pattern of both string and store them in a table. This will reduce the function call and hence our runtime will be 0mn.

Step by step solution

01

Defining Recursive Equation

Let di,j be the length of Longest Common Subsequence(LCS) in stringsx=x1x2···xnandy=y1y2···ym.

Let D be the matrix of m*ndi,j. This matrix will act as table to consecutively store the common substring.

Let Zk=z1z2···zkbe substring common in string ‘x’ and ‘y’, i.e., Z1...kis LCS in X1....iandY1....j

We have two cases:

  • Ifxi=yi

That means, zk=xi=yj

AndZkis LCSrole="math" localid="1657268874063" X1....i-1,Y1....j-1followed byzk.

  • Ifxiyi

That means,

Either Zk=X1....i-1,Y1....jor Zk=X1....i,Y1....j-1

So, our recursive equation is:

di,j={0;ifi=0,j=0di-1,j-1+1;ifxi=yjMaxdi-1,j,di,j-1;ifxiyj

02

Algorithm

m=Lengthxn=Lengthyfori=0tomdi,0=0forj=0tond0,j=0fori=1tomforj=1tonifxi=yidi,j=di-1,j-1+1elseifdi-1,jdi,j-1di,j=di-1,jelsedi,jdi,j-1

returnd

This algorithm will be run in 0mntime.

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