Find the longest increasing subsequence in an array. If there are multiple, return one of them. Example, for [0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15], a longest increasing subsequence is [0, 2, 6, 9, 11, 15]. 分析: 这题和找出长度不一样,找出长度,...
A subsequence ofais an array we can get by erasing some elements ofa. It is allowed to erase zero or all elements. The LCM of an empty array equals 1. Input The first line contains two integersnandm(1 ≤ n, m ≤ 106) — the size of the arraya The second line contains...
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 is4. Note that there may be more than one LIS combination, it is on...
Given an unsorted array of integers, find the length of longest increasing subsequence. Example: Input: [10,9,2,5,3,7,101,18] Output: 4 Explanation: The longest increasing subsequence is [2,3,7,101], therefore the length is 4. Note: There may be more than one LIS combination, it i...
Given an integer array arr and an integer difference, return the length of the longest subsequence in arr which is an arithmetic sequence such that the difference between adjacent elements in the subsequence equals difference. Example 1: Input: arr = [1,2,3,4], difference = 1 Output: 4 Ex...
Given an unsorted array of integers, find the length of longest increasing subsequence. Example: Input: [10,9,2,5,3,7,101,18]Output: 4Explanation: The longest increasing subsequence is [2,3,7,101], therefore the length is 4.Note: There may be more than one LIS combination, it is on...
To compute a longest common subsequence of the three given strings, we show that each processor of the above array requires an O(min{n,p\\\) local storage to solve the problem in In + 1m + 1 + p — 2 time-steps.doi:10.1080/01495739808947359LUCE...
Parallel computation of Longest-Common-Subsequence A parallel algorithm for finding the longest common subsequence of two strings is presented. Our algorithm is executed on r processors, with r equal to the... L Mi 被引量: 19发表: 1990年 APPLICATION-SPECIFIC ARRAY PROCESSORS FOR THE LONGEST COMM...
Define an array L[k ] to be the smallest ending number of an increasing subsequence of length k, where 1 ≤ k ≤ n. Assume that each entry in L is initially an infinite value. For each position, perform a binary search to update L and make a backtracking link to the former ...
O(n) space for the LIS problem. Define an array L[k] to be the smallest ending number of an increasing subsequence of length k, where 1 ≤ k ≤ n. Assume that each entry in L is initially an infinite value. For each position, perform a binary search to update L and make ...