Largest increasing subsequence of consecutive integers

Given an array of n positive integers. We need to find the largest increasing sequence of consecutive positive integers.

Examples:

Input : arr[] = {5, 7, 6, 7, 8} 
Output : Size of LIS = 4
         LIS = 5, 6, 7, 8

Input : arr[] = {5, 7, 8, 7, 5} 
Output : Size of LIS = 2
         LIS = 7, 8


This problem can be solved easily by the concept of LIS where each next greater element differ from earlier one by 1. But this will take O(n^2) time complexity.

With the use of hashing we can finding the size of longest increasing sequence with consecutive integers in time complexity of O(n).

We create a hash table.. Now for each element arr[i], we perform hash[arr[i]] = hash[arr[i] – 1] + 1. So, for every element we know longest consecutive increasing subsequence ending with it. Finally we return maximum value from hash table.

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// C++ implementation of longest continuous increasing
// subsequence
#include <bits/stdc++.h>
using namespace std;
  
// Function for LIS
int findLIS(int A[], int n)
{
    unordered_map<int, int> hash;
  
    // Initialize result
    int LIS_size = 1;
    int LIS_index = 0;
  
    hash[A[0]] = 1;
  
    // iterate through array and find
    // end index of LIS and its Size
    for (int i = 1; i < n; i++) {
        hash[A[i]] = hash[A[i] - 1] + 1;
        if (LIS_size < hash[A[i]]) {
            LIS_size = hash[A[i]];
            LIS_index = A[i];
        }
    }
  
    // print LIS size
    cout << "LIS_size = " << LIS_size << "\n";
  
    // print LIS after setting start element
    cout << "LIS : ";
    int start = LIS_index - LIS_size + 1;
    while (start <= LIS_index) {
        cout << start << " ";
        start++;
    }
}
  
// driver
int main()
{
    int A[] = { 2, 5, 3, 7, 4, 8, 5, 13, 6 };
    int n = sizeof(A) / sizeof(A[0]);
    findLIS(A, n);
    return 0;
}

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Output:

LIS_size = 5
LIS : 2 3 4 5 6 


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