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Longest Common Subsequence

Longest Common Subsequence

作者: 宋翰要长肉 | 来源:发表于2016-03-25 05:52 被阅读20次

    LintCode 77. Longest Common Subsequence

    Algorithm

    • Two input string a with length lengthA and b with length lengthB
    • lookup[i][j] is defined as length of LCS of substring of a with index from 0 to i - 1 and substring of b with index from 0 to j - 1.
    • if a[i - 1] == b[j - 1], then lookup[i][j] = lookup[i - 1][j - 1]
    • otherwise, lookup[i][j] = max(lookup[i - 1][j], lookup[i][j - 1])
    • At last, lookup[lengthA][lengthB] is the LCS.

    Code

    public class LCS {
        private int[][] lookupRecursive;
        public int longestCommonSubsequenceRecursive(String A, String B) {
            char[] a = A.toCharArray();
            char[] b = B.toCharArray();
            lookupRecursive = new int[a.length + 1][b.length + 1];
            for (int i = 0; i <= a.length; i++) {
                for (int j = 0; j <= b.length; j++) {
                    lookupRecursive[i][j] = -1;
                }
            }
            int length = lcs(a, b, a.length, b.length);
            printLCS(lookupRecursive, a, b);
            return length;
        }
    
        private int lcs(char[] a, char[] b, int endA, int endB) {
            if (endA == 0 || endB == 0) {
                lookupRecursive[endA][endB] = 0;
            } else if (a[endA - 1] == b[endB - 1]) {
                if (lookupRecursive[endA][endB] == -1) {
                    lookupRecursive[endA][endB] = lcs(a, b, endA - 1, endB - 1) + 1;
                }
            } else {
                if (lookupRecursive[endA][endB] == -1) {
                    lookupRecursive[endA][endB] = Math.max(lcs(a, b, endA - 1, endB), lcs(a, b, endA, endB - 1));
                }
            }
            return lookupRecursive[endA][endB];
        }
    
        public int longestCommonSubsequenceIterative(String A, String B) {
            char[] a = A.toCharArray();
            char[] b = B.toCharArray();
            int[][] lookupIterative = new int[a.length + 1][b.length + 1];
            for (int i = 1; i <= a.length; i++) {
                for (int j = 1; j <= b.length; j++) {
                    if (a[i - 1] == b[j - 1]) {
                        lookupIterative[i][j] = lookupIterative[i - 1][j - 1] + 1;
                    } else {
                        lookupIterative[i][j] = Math.max(lookupIterative[i - 1][j], lookupIterative[i][j - 1]);
                    }
                }
            }
            printLCS(lookupIterative, a, b);
            return lookupIterative[a.length][b.length];
        }
    
        private void printLCS(int[][] lookup, char[] a, char[] b) {
            int size = lookup[a.length][b.length];
            char[] lcs = new char[size];
            int lastIndex = size - 1;
            int i = a.length, j = b.length;
            while (lastIndex >= 0) {
                if (a[i - 1] == b[j - 1]) {
                    lcs[lastIndex] = a[i - 1];
                    lastIndex--;
                    i--;
                    j--;
                } else if (lookup[i - 1][j] > lookup[i][j - 1]) {
                    i--;
                } else {
                    j--;
                }
            }
            System.out.println(String.valueOf(lcs));
        }
    
        public static void main(String[] args) {
            String X = "AGGTAB";
            String Y = "GXTXAYB";
            System.out.println(new LCS().longestCommonSubsequenceIterative(X, Y));
            System.out.println(new LCS().longestCommonSubsequenceRecursive(X, Y));
        }
    }
    

    Print the LCS

    • Create an a character array with length equal to the length of LCS to store LCS string.
    • Traverse the 2D array from right and bottom most corner and store characters in above array
    • if current characters in a and b are same, it is part of LCS.
    • otherwise, compare lookup[i - 1][j] and lookup[i][j - 1], and go in direction of larger value.
    private void printLCS(int[][] lookup, char[] a, char[] b) {
        int size = lookup[a.length][b.length];
        char[] lcs = new char[size];
        int lastIndex = size - 1;
        int i = a.length, j = b.length;
        while (lastIndex >= 0) {
            if (a[i - 1] == b[j - 1]) {
                lcs[lastIndex] = a[i - 1];
                lastIndex--;
                i--;
                j--;
            } else if (lookup[i - 1][j] > lookup[i][j - 1]) {
                i--;
            } else {
                j--;
            }
        }
        System.out.println(String.valueOf(lcs));
    }
    

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