Dynamic Programming - Interval dp-Palindrome Removal

2019-11-09 10:31:09

Problem Description :

 

Problem Solving :

n = 100, typically O (n ^ 3) dynamic compliance issues. Generally this O (n ^ 3) problems can be solved consider interval dp.

Dp is a typical section three-layer structure, the outermost peripheral section length enumeration, enumeration starting intermediate layer, the innermost layer enumeration truncation point, so the interval dp is often time complexity O (n ^ 3).

    public int minimumMoves(int[] arr) {
        int n = arr.length;
        int[][] dp = new int[n + 1][n + 1];
        for (int i = 0; i < n; i++) dp[i][i] = 1;
        for (int len = 2; len <= n; len++) {
            for (int i = 0; i <= n - len; i++) {
                int j = i + len - 1;
                dp[i][j] = 1 + dp[i + 1][j];
                if (arr[i] == arr[i + 1]) dp[i][j] = Math.min(dp[i][j], 1 + dp[i + 2][j]);
                for (int k = i + 2; k <= j; k++) {
                    if (arr[k] == arr[i]) {
                        dp[i][j] = Math.min(dp[i][j], dp[i + 1][k - 1] + dp[k + 1][j]);
                    }
                }
            }
        }
        return dp[0][n - 1];
    }

  

 

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Origin www.cnblogs.com/hyserendipity/p/11824509.html