(java)Increasing Triplet Subsequence
2016-03-06 20:45
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Given an unsorted array return whether an increasing subsequence of length 3 exists or not in the array.
Formally the function should:
Return true if there exists i, j, k
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k ≤ n-1 else return false.
Your algorithm should run in O(n) time complexity and O(1) space complexity.
Examples:
Given
return
Given
return
思路:这是一个典型的动态规划的题目,递推式是dp[i]=max(dp[i],dp[j]+1) nums[i]>nums[j], j<i;
代码如下(已通过leetcode)
public class Solution {
public boolean increasingTriplet(int[] nums) {
int[] dp=new int[nums.length];
Arrays.fill(dp, 1);
for(int i=0;i<nums.length;i++) {
for(int j=0;j<i;j++) {
if(nums[i]>nums[j]) dp[i]=Math.max(dp[i], dp[j]+1);
if(dp[i]>=3) return true;
}
}
return false;
}
}
Formally the function should:
Return true if there exists i, j, k
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k ≤ n-1 else return false.
Your algorithm should run in O(n) time complexity and O(1) space complexity.
Examples:
Given
[1, 2, 3, 4, 5],
return
true.
Given
[5, 4, 3, 2, 1],
return
false.
思路:这是一个典型的动态规划的题目,递推式是dp[i]=max(dp[i],dp[j]+1) nums[i]>nums[j], j<i;
代码如下(已通过leetcode)
public class Solution {
public boolean increasingTriplet(int[] nums) {
int[] dp=new int[nums.length];
Arrays.fill(dp, 1);
for(int i=0;i<nums.length;i++) {
for(int j=0;j<i;j++) {
if(nums[i]>nums[j]) dp[i]=Math.max(dp[i], dp[j]+1);
if(dp[i]>=3) return true;
}
}
return false;
}
}
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