Longest Consecutive Sequence
Given an unsorted array of integers, find the length of the longest consecutive elements sequence.
For example, Given [100, 4, 200, 1, 3, 2], The longest consecutive elements sequence is [1, 2, 3, 4]. Return its length: 4.
Your algorithm should run in O(n) complexity.
Ideas:
We will use HashMap. The key thing is to keep track of the sequence length and store that in the boundary points of the sequence. For example, as a result, for sequence {1, 2, 3, 4, 5}, map.get(1) and map.get(5) should both return 5.
Whenever a new element n is inserted into the map, do two things:
- See if n - 1 and n + 1 exist in the map, and if so, it means there is an existing sequence next to n. Variables left and right will be the length of those two sequences, while 0 means there is no sequence and n will be the boundary point later. Store (left + right + 1) as the associated value to key n into the map.
- Use left and right to locate the other end of the sequences to the left and right of n respectively, and replace the value with the new length. Everything inside the for loop is O(1) so the total time is O(n).
这个其实算是一种使用HashMap的Union Find方法,如果n的左右邻居也在HashMap中的话,就把他们unite为n的sum。
Code:
public int longestConsecutive(int[] num) {
int res = 0;
HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
for (int n : num) {
if (!map.containsKey(n)) {
int left = (map.containsKey(n - 1)) ? map.get(n - 1) : 0;
int right = (map.containsKey(n + 1)) ? map.get(n + 1) : 0;
// sum: length of the sequence n is in
int sum = left + right + 1;
map.put(n, sum);
// keep track of the max length
res = Math.max(res, sum);
// extend the length to the boundary(s)
// of the sequence
// will do nothing if n has no neighbors
map.put(n - left, sum);
map.put(n + right, sum);
}
}
return res;
}
另外一种解法DFS
public int longestConsecutive(int[] num) {
HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
for (int i = 0; i < num.length; i++) {
map.put(num[i], i);
}
boolean[] visited = new boolean[num.length];
int max = 1;
int count = 1;
for (int i = 0; i < num.length; i++) {
if (visited[i]) continue;
visited[i] = true;
count = 1;
int index = num[i]-1;
while(map.containsKey(index)) {
visited[map.get(index)] = true;
index--;
count++;
}
index = num[i]+1;
while(map.containsKey(index)) {
visited[map.get(index)] = true;
index++;
count++;
}
if (count > max) max = count;
}
return max;
}