Friday, July 15, 2016

Longest Increasing Subsequence -- Leetcode

Question:
Given an unsorted array of integers, find the length of longest increasing subsequence.
For example,
Given [10, 9, 2, 5, 3, 7, 101, 18],
The longest increasing subsequence is [2, 3, 7, 101], therefore the length is 4. Note that there may be more than one LIS combination, it is only necessary for you to return the length.
Your algorithm should run in O(n2) complexity.
Follow up: Could you improve it to O(n log n) time complexity?
Answer:
DP + Binary Search! Time:O(n*logn), Space:O(n)!
public class Solution {
    public int lengthOfLIS(int[] nums) {
        if(nums == null || nums.length == 0)return 0;
        int len = nums.length, maxLen=0;
        int[] dp = new int[len];
        dp[0] = nums[0];
        //dp + Binary Search, time: O(n*logn), space: O(n)
        for(int i=1; i<len; ++i){
            if(nums[i] > dp[maxLen]){
                dp[++maxLen] = nums[i];
            }else{
                int index = Arrays.binarySearch(dp, 0, maxLen, nums[i]);
                if(index < 0){
                    index = -(index+1);
                    dp[index] = nums[i];
                }
            }
        }
        return maxLen + 1;
    }
}

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