Longest Incresing Subsequence(LIS)
Category : Dynamic Programming(DP)
Description : The Longest Increasing Subsequence (LIS) problem is to find the length of longest subsequence of a given sequence such that all elements of the subsequence are sorted in increasing order. For Example, as shown by the picture.
More Examples
Input : arr[] = {3, 10, 2, 1, 20}
Output : Length of LIS = 3
The longest increasing subsequence is 3, 10 ,20
Input : arr[] = {3, 2}
Output : Length of LIS = 1
The longest increasing subsequence is {3} and {2}
Input : arr[] = {50, 3, 10, 7, 40, 80}
Output : Length of LIS = 4
The longest increasing subsequence is {3, 7, 40 ,80}
Optimal Substructrue
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Let arr[0..n-1] be the input array and L(i) be the length of the LIS ending at index i such that arr[i] is the last element of the LIS
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Then, L(i) can be recursively written as:
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L(i) = 1 + max( L(j) ) where 0 < j < i and arr[j] < arr[i]
or
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L(i) = 1, if no such j exists
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To find the LIS for a given array, we need to return max(L(i)) where 0 < i < n
Code
int lis(int arr[], int n)
{
int *lis, i, j, max = 0;
lis = (int *)malloc(sizeof (int ) * n);
/* init */
for(i = 0; i < n; i++)
{
lis[i] = 1;
}
/* Compute optimized LIS values in bottom up manner */
for(i = 1; i < n; i++)
{
for(j = 0; j < i; j++)
{
if(arr[i] > arr[j] && lis[i] < lis[j] + 1)
lis[i] = lis[j] + 1;
}
}
for (i = 0; i < n; i++)
{
if (max < lis[i])
max = lis[i];
}
free(lis);
return max;
}
/* Driver program to test above function */
int main()
{
int arr[] = { 10, 22, 9, 33, 21, 50, 41, 60 };
int n = sizeof(arr)/sizeof(arr[0]);
printf("Length of lis is %dn", lis( arr, n ) );
return 0;
}