Given an array of integers, find largest sub-array formed by consecutive integers. The sub-array should contain all distinct values.

**Input:** { 2, 0, 2, 1, 4, 3, 1, 0 }

**Output:** The largest sub-array is { 0, 2, 1, 4, 3 }

The idea is to consider every sub-array and keep track of largest subarray found so far which is formed by consecutive integers. In order for an sub-array to contain consecutive integers,

- The difference between maximum and minimum element in it should be exactly equal to length of the subarray minus one.

- All elements in the array should be distinct (we can check this by inserting the elements in set or using a visited array).

## C++

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#include <iostream> #include <vector> using namespace std; // Function to check if sub-array A[i..j] is formed by consecutive // integers. Here min and max denotes the minimum and maximum element // in the sub-array respectively bool isConsecutive(int A[], int i, int j, int min, int max) { // in order for an array to contain consecutive integers, the diff // between maximum and element element in it should be exactly j-i if (max - min != j - i) return false; // create a visited array (we can also use a set) vector<bool> visited(j - i + 1); // traverse the sub-array and checks if each element appears only once for (int k = i; k <= j; k++) { // if element is seen before, return false if (visited[A[k] - min]) return false; // mark element as seen visited[A[k] - min] = true; } // we reach here when all elements in array are distinct return true; } // Find largest sub-array formed by consecutive integers void findMaxSubArray(int A[], int n) { int len = 1; int start = 0, end = 0; // consider each sub-array formed by A[i..j] // i denotes the beginning of sub-array for (int i = 0; i < n - 1; i++) { // stores minimum and maximum element in an sub-array A[i..j] int min_val = A[i], max_val = A[i]; // j denotes the end of sub-array for (int j = i + 1; j < n; j++) { // update minimum and maximum element of the sub-array min_val = min(min_val, A[j]); max_val = max(max_val, A[j]); // check if subarray A[i..j] is formed by consecutive integers if (isConsecutive(A, i, j, min_val, max_val)) { if (len < max_val - min_val + 1) { len = max_val - min_val + 1, start = i, end = j; } } } } // print maximum length sub-array cout << "The largest sub-array is [" << start << ", " << end << "]"; } // main function int main() { int A[] = { 2, 0, 2, 1, 4, 3, 1, 0 }; int n = sizeof(A) / sizeof(A[0]); findMaxSubArray(A, n); return 0; } |

## Java

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import java.lang.Math; class MaxSubArray { // Function to check if sub-array A[i..j] is formed by consecutive // integers. Here min and max denotes the minimum and maximum element // in the sub-array respectively static boolean isConsecutive(int A[], int i, int j, int min, int max) { // in order for an array to contain consecutive integers, the diff // between maximum and element element in it should be exactly j-i if (max - min != j - i) { return false; } // create a visited array (we can also use a set) boolean visited[] = new boolean[j - i + 1]; // traverse the sub-array and checks if each element appears // only once for (int k = i; k <= j; k++) { // if element is seen before, return false if (visited[A[k] - min]) { return false; } // mark element as seen visited[A[k] - min] = true; } // we reach here when all elements in array are distinct return true; } // Find largest sub-array formed by consecutive integers public static void findMaxSubArray(int[] A) { int len = 1; int start = 0, end = 0; // consider each sub-array formed by A[i..j] // i denotes the beginning of sub-array for (int i = 0; i < A.length - 1; i++) { // stores minimum and maximum element in an sub-array A[i..j] int min_val = A[i], max_val = A[i]; // j denotes the end of sub-array for (int j = i + 1; j < A.length; j++) { // update minimum and maximum element of the sub-array min_val = Math.min(min_val, A[j]); max_val = Math.max(max_val, A[j]); // check if A[i..j] is formed by consecutive integers if (isConsecutive(A, i, j, min_val, max_val)) { if (len < max_val - min_val + 1) { len = max_val - min_val + 1; start = i; end = j; } } } } // print maximum length sub-array System.out.println("The largest sub-array is [" + start + ", " + end + "]"); } // main function public static void main (String[] args) { int[] A = { 2, 0, 2, 1, 4, 3, 1, 0 }; findMaxSubArray(A); } } |

`Output:`The largest sub-array is [1, 5]

The time complexity of above solution is O(n^{3}) and auxiliary space used by the program is O(n).

**Exercise:** Extend the solution to consider duplicates in the sub-array.

**Thanks for reading.**

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## Leave a Reply

I think a sliding-window approach can accomplish this in linear time.

Thank you for posting so many helpful practice problems!

Cool – you can get O(n^2) time here by building the set as you go along in the inner loop that iterates through j. If max – min == j – i, and if all of the values between i and j are distinct (which you can tell from the set size), then you know immediately that the subsequence consists of the consecutive integers in the range [min, max].

You can also break out of the inner loop early if you ever run into a duplicate.

Will think about Dimitriy’s O(n) hint, cool…

A hashmap implementation can bring down the time complexity to O(n) keeping it in-place . Also an approach using merge sot can reduce the algorithm to O(nlogn) but with a space complexity of O(nlogn) . The above question was asked to me in my Facebook interview 🙂

O(n*n) time and Omega(n) space –

http://ideone.com/87Hzjc

I don’t understand the question. What are consecutive integers? To me consecutive integers are 2,3,4 or 77,78,79.

In the example provided at the beginning of this page, in what way are 0,2,1,4,3 consecutive integers?

Is the question really asking “find the largest subarray formed by

uniqueintegers” ? Or is it something else?Hi Sam, thanks for sharing your concern, Your understanding is right about consecutive integers. If you sort 0,2,1,4,3 you will get 0,1,2,3,4 which are consecutive. Hope the question is clear now. Happy coding 🙂

Done with Sliding window. Time o(n) and space o(1). https://ideone.com/V0Iho0

Sliding window approach with HashMap [ O(N) ] is hardly possible.

I tried it on my own with C++, the program has some issues with this ruleset:

{ 0, 2, 1, [2, 1, 3, 4] } (brackets identify here the best answer)

The problem is with minimum and maximum values.

When i = 2,

{[0, 2, 1], 2, 1, 3, 4 }

the minimum value in the range is 0.

However, at 3,

{0, 2, [1, 2], 1, 3, 4}

the first two elements are taken off a sliding window, so the minimum value must also change to 1.

But we cannot find the second minimum/maximum value in O(1) time.

It is possible to traverse the hashmap up until we find it (it might be unsafe if we have huge ‘cliffs’ in the array with big differences of the numbers).

It is possible have a basic bit array of numbers. We could find the biggest and the smallest number in the whole array and then initialize an array (still an allocation problem if we have long long ints in the array). But it works when needed. O(N).

The most reliable solution for big integers is a ‘set’ structure with O(NlogN) time.

https://ideone.com/PhXLY1

True Answer

js in O(n^2)

https://jsbin.com/yedeseyepi/edit?js,console