• leetcode — distinct-subsequences


    import java.util.Arrays;
    
    /**
     *
     * Source : https://oj.leetcode.com/problems/distinct-subsequences/
     *
     *
     * Given a string S and a string T, count the number of distinct subsequences of T in S.
     *
     * A subsequence of a string is a new string which is formed from the original string
     * by deleting some (can be none) of the characters without disturbing the relative positions
     * of the remaining characters. (ie, "ACE" is a subsequence of "ABCDE" while "AEC" is not).
     *
     * Here is an example:
     * S = "rabbbit", T = "rabbit"
     *
     * Return 3.
     */
    public class DistinctSubsequences {
    
        /**
         *
         * 求解的个数,使用动态规划
         *
         * 状态:
         * i,j表示T中长度为i的prefix:T[0:i-1],S中长度为j的prefix:S[0-j-1],S[j]第j个字符,T[i]第i个字符
         * DP[i][j]表示:S[0:j]中包含T[0:i]唯一子串的个数,当j<i的时候DP[i][j] = 0
         *
         * 递推公式:
         * 当S[j] != T[i]的时候
         * DP[i+1][j+1] = DP[i+1][j],含义是当前字符不相等的时候,S[j+1]包含T[i+1]的个数就是S[j]包含T[i+1]的个数
         *
         * 当S[j] == T[i]的时候
         * DP[i+1][j+1] = DP[i+1][j] + DP[i][j],含义是当前字符相等的时候,S[j+1]包含T[i+1]的个数就是S[j]包含T[i+1]的个数加上S[j]包含T[i]的个数
         *
         * 计算方向和起始状态:
         * DP[i][j]
         * DP[i+1][j],DP[i+1[j+1]
         * 从上到下,从左到右
         *
         * 第0行:1
         * 第0列:0
         *
         *
         * @param S
         * @param T
         * @return
         */
        public int distinctSequences (String S, String T) {
            int[][] dp = new int[T.length()+1][S.length()+1];
            for (int i = 0; i <= T.length(); i++) {
                dp[i][0] = 0;
            }
    
            for (int i = 0; i <= S.length(); i++) {
                dp[0][i] = 1;
            }
            for (int i = 1; i <= T.length(); i++) {
                for (int j = i; j <= S.length(); j++) {
                    if (S.charAt(j-1) == T.charAt(i-1)) {
                        dp[i][j] = dp[i][j-1] + dp[i-1][j-1];
                    } else {
                        dp[i][j] = dp[i][j-1];
                    }
                }
            }
            return dp[T.length()][S.length()];
        }
    
    
        /**
         * 优化DP占用空间,因为递推的时候只需要dp[i][j-1],dp[i-1][j-1]
         * 也就是当前矩阵左上角的值和左面的值,使用滚动数组优化空间
         *
         * @param S
         * @param T
         * @return
         */
        public int distinctSequences1 (String S, String T) {
            int[] dp = new int[S.length()+1];
            Arrays.fill(dp, 1);
            for (int i = 1; i <= T.length(); i++) {
                int upLeft = dp[0];
                dp[0] = 0;
                for (int j = 1; j <= S.length(); j++) {
                    // 相当于记下dp[i-1][j-1]
                    int temp = dp[j];
                    // 相当于dp[i][j-1]
                    dp[j] = dp[j-1];
                    if (S.charAt(j-1) == T.charAt(i-1)) {
                        dp[j] += upLeft;
                    }
                    upLeft = temp;
                }
            }
            return dp[S.length()];
        }
    
        public static void main(String[] args) {
            DistinctSubsequences subsequences = new DistinctSubsequences();
            System.out.println(subsequences.distinctSequences("rabbbit", "rabbit") + "------3");
            System.out.println(subsequences.distinctSequences1("rabbbit", "rabbit") + "------3");
        }
    }
    
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  • 原文地址:https://www.cnblogs.com/sunshine-2015/p/7824715.html
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