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Commit109be8d

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length increasing subsequence draft
1 parentea1cf12 commit109be8d

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packagemedium;
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importutils.CommonUtils;
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/**300. Longest Increasing Subsequence QuestionEditorial Solution My Submissions
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Total Accepted: 38678
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Total Submissions: 108774
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Difficulty: Medium
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Given an unsorted array of integers, find the length of longest increasing subsequence.
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For example,
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Given [10, 9, 2, 5, 3, 7, 101, 18],
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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.
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Your algorithm should run in O(n2) complexity.
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Follow up: Could you improve it to O(n log n) time complexity?
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Credits:
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Special thanks to @pbrother for adding this problem and creating all test cases.*/
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publicclassLengthIncreasingSubsequence {
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publicintlengthOfLIS(int[]nums) {
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if(nums ==null ||nums.length ==0)return0;
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int[][]dp =newint[nums.length][nums.length];
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intmax =0;
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for(inti =0;i <nums.length;i++){
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intcurrentMaxForThisRow =nums[i];
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for(intj =0;j <nums.length;j++){
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if(j <=i)dp[i][j] =1;
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else {
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if(nums[j] >nums[i]) {
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if(nums[j] >currentMaxForThisRow) {
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dp[i][j] =dp[i][j-1]+1;
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currentMaxForThisRow =nums[j];
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}else {
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dp[i][j] =dp[i][j-1];
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//in this case, we need to figure out when should we update currentMaxForThisRow?
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for(intk =j-1;k >=0;k--){
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if(nums[k] <nums[j]){
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if(dp[i][k]+1 ==dp[i][j] &&nums[j-1] >nums[j]){
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currentMaxForThisRow =nums[j];
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}
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break;
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}
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}
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}
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}
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elsedp[i][j] =dp[i][j-1];
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}
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max =Math.max(max,dp[i][j]);
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}
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}
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CommonUtils.printMatrix(dp);
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returnmax;
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}
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publicstaticvoidmain(String...strings){
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LengthIncreasingSubsequencetest =newLengthIncreasingSubsequence();
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// int[] nums = new int[]{10, 9, 2, 5, 3, 7, 101, 18};
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// int[] nums = new int[]{10,9,2,5,3,4};
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int[]nums =newint[]{1,3,6,7,9,4,10,5,6};
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System.out.println(test.lengthOfLIS(nums));
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}
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}

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