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Lis (#396)
* Added Longest Common Subsequence * Renamed the File * Optimized the code * Optimized the code * Changed some styles as per the rule * Again some style fixed * Added Longest Increasing Subsequence program to the list * Style changed
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Dynamic-Programming/LongestCommonSubsequence.js
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33
Dynamic-Programming/LongestCommonSubsequence.js
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/*
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* Given two sequences, find the length of longest subsequence present in both of them.
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* A subsequence is a sequence that appears in the same relative order, but not necessarily contiguous.
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* For example, “abc”, “abg”, “bdf”, “aeg”, ‘”acefg”, .. etc are subsequences of “abcdefg”
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*/
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function longestCommonSubsequence (x, y, str1, str2, dp) {
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if (x === -1 || y === -1) {
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return 0
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} else {
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if (dp[x][y] !== 0) {
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return dp[x][y]
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} else {
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if (str1[x] === str2[y]) {
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dp[x][y] = 1 + longestCommonSubsequence(x - 1, y - 1, str1, str2, dp)
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return dp[x][y]
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} else {
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dp[x][y] = Math.max(longestCommonSubsequence(x - 1, y, str1, str2, dp), longestCommonSubsequence(x, y - 1, str1, str2, dp))
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return dp[x][y]
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}
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}
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}
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}
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function main () {
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const str1 = 'ABCDGH'
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const str2 = 'AEDFHR'
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const dp = new Array(str1.length + 1).fill(0).map(x => new Array(str2.length + 1).fill(0))
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const res = longestCommonSubsequence(str1.length - 1, str2.length - 1, str1, str2, dp)
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console.log(res)
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}
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main()
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Dynamic-Programming/LongestIncreasingSubsequence.js
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Dynamic-Programming/LongestIncreasingSubsequence.js
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/**
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* A Dynamic Programming based solution for calculating Longest Increasing Subsequence
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* https://en.wikipedia.org/wiki/Longest_increasing_subsequence
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*/
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function main () {
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const x = [0, 8, 4, 12, 2, 10, 6, 14, 1, 9, 5, 13, 3, 11, 7, 15]
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const length = x.length
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const dp = Array(length).fill(1)
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let res = 1
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for (let i = 0; i < length; i++) {
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for (let j = 0; j < i; j++) {
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if (x[i] > x[j]) {
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dp[i] = Math.max(dp[i], 1 + dp[j])
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if (dp[i] > res) {
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res = dp[i]
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}
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}
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}
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}
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console.log('Length of Longest Increasing Subsequence is:', res)
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}
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main()
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