二刷
Versuib #2 Sliding Window
14.63 %
class Solution {
public boolean containsNearbyDuplicate(int[] nums, int k) {
if (nums == null) {
return false;
}
// sliding window of size k
Set<Integer> set = new HashSet<>();
for (int i = 0; i < nums.length; i++) {
if (set.size() > k) {
set.remove(nums[i - k - 1]);
}
if (set.contains(nums[i])) {
return true;
}
set.add(nums[i]);
}
return false;
}
}
Version #1 第一反应还是写了hashmap
Seems like this problem is actually a sliding window problem
81.40 %
class Solution {
public boolean containsNearbyDuplicate(int[] nums, int k) {
// key-> num, value -> index
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
Integer index = map.get(nums[i]);
if (index != null && i - index <= k) {
return true;
}
map.put(nums[i], i);
}
return false;
}
}
一刷
Version #2 HashSet(Better)
82.57 %
class Solution {
public boolean containsNearbyDuplicate(int[] nums, int k) {
if (nums == null || nums.length <= 1) return false;
// set of numbers in the sliding window
Set<Integer> set = new HashSet<>();
for (int i = 0; i < nums.length; i++) {
// i - j <= k -> j >= i - k
if (i - k > 0) {
set.remove(nums[i - k - 1]);
}
if (!set.add(nums[i])) return true;
}
return false;
}
}
Version #1 HashMap
看了答案发现自己这么写很烂
这个题有点像sliding window
只要用set看window里面有没有重复值就可以了
9.84 %
class Solution {
public boolean containsNearbyDuplicate(int[] nums, int k) {
if (nums == null || nums.length <= 1) return false;
Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
int prev = map.getOrDefault(nums[i], -1);
if (prev != -1 && i - prev <= k) {
return true;
} else {
map.put(nums[i], i);
}
}
return false;
}
}
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