Longest Consecutive Sequence


Given an unsorted array of integers nums, return the length of the longest consecutive sequence that can be formed. A consecutive sequence is a list of numbers where each element is one more than it’s previous one (no duplicates)

For example, if input array is [4,5,9,3,10,4,7,6,1,9,5] , the longest consecutive sequence is [3,4,5,6,7] and return it’s length 5 as answer

1. Sorting

Sorting would bring the equal/consecutive elements closer to each other

bool equalOrOneMore (int first, int second) {
return (second == first || second == first + 1);
}
int longestConsecutive (vector<int>& nums) {
int n = nums.size();
// Edge-case (one or no elements)
if (n <= 1) return n;
// Sort array elements
sort(nums.begin(), nums.end());
int i = 0;
int maxSeqLength = 1;
// Traverse array elements
while (i < n - 1) {
// Sequence possible
if (equalOrOneMore(nums[i], nums[i + 1])) {
int seqLength = 1;
// Start exploring sequence ahead
while (i < n - 1 && equalOrOneMore(nums[i], nums[i + 1])) {
// Consecutive next element (value is one more than last seen)
if (nums[i + 1] == nums[i] + 1) {
// Include the element into consecutive sequence
seqLength++;
}
i++; // Move exploration ahead in current sequence
}
// Sequence formed. Compare and update max length
maxSeqLength = max(seqLength, maxSeqLength);
}
i++; // Keep traversing ahead
}
return maxSeqLength;
}

Time taken is \( O(n \cdot logn) \) for sorting + \( O(n) \) for traversing array elements

MetricComplexity
Time\( O(N \cdot logN ) \)
Space\( O(1) \)

2. Union-Find approach

Consider input nums=[4,5,9,3,10,4,7,6,1,9,5]

The set of unique elements would be: {4,5,9,3,10,7,6,1}

The consecutive sequences formed are:

1
3 ↔ 4 ↔ 5 ↔ 6 ↔ 7
9 ↔ 10

All elements in a sequence have a predecessor on the left (whose value is one lesser than element), except for the first element (starting value of sequence)

int longestConsecutive (vector<int> &nums) {
// Store unique numbers of input in a set
unordered_set<int> uniqueNums(nums.begin(), nums.end());
int maxSeqLength = 0;
for (int val : uniqueNums) {
// Non-predecessor element (starting of sequence)
if (!uniqueNums.count(val - 1)) {
int seqLength = 1;
int curr = val;
// Keep finding next consecutive element to append into sequence
while (uniqueNums.count(curr + 1)) {
curr++;
seqLength++;
}
// Sequence formed. Update max length
maxSeqLength = max(seqLength, maxSeqLength);
}
}
return maxSeqLength;
}

Time:

MetricComplexity
Time\( O(N ) \)
Space\( O(N) \) … for set