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62. Different Paths

• My code (error)
  Points that confused me during writing: ① I can't figure out the correspondence between the two-dimensional array and this question. Is mn initialized with dp[m][n] or dp[n][m]? ②

class Solution {
    public int uniquePaths(int m, int n) {
        int[][]dp = new int[m+1][n+1];
        dp[0][0] = 0;
        dp[0][1] = 1;
        dp[1][0] = 1;
        for(int i=1; i<m; i++) {
            for(int j=1; j<n; j++) {
                dp[i][j] = dp[i-1][j] + dp[i-1][j-1];
            }
        }
        return dp[m][n];
    }
}

/*
自己解题的时候思考过程

n-1 : 往右走的次数
m-1 : 往下走的次数 

dp[i][j]到当前的位置，有几种方法
dp[0][0] 0
dp[0][1] 1
dp[1][0] 1
dp[1][1] 2
dp[i][j] 的前一个状态是，(1)他的左边dp[i-1][j]，或者(1)dp[i-1][j-1]
dp[i][j] = dp[i-1][j] + dp[i-1][j-1];

 */
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Initialization error, here the initialization should cover the entire left column and horizontal row

// 第0列，dp[i][0] 表示到当前的位置，有几种方法，这一列都是只有一种
 for (int i = 0; i < m; i++) {
  dp[i][0] = 1;
 }
 
// 第0行，dp[0][i] 表示到当前的位置，有几种方法，这一行都是只有一种
 for (int i = 0; i < n; i++) {
     dp[0][i] = 1;
 }
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JAVA two-dimensional array storage diagram:

• Thought Process
  (1) Determine the meaning of the dp array and subscript:到当前的位置[i][j]，有几种方法 dp[i][j]
  (2) Determine the recursive formuladp[i][j] = dp[i-1][j] + dp[i][j-1];
  (3) How to initialize the dp array本题就栽在这一步了，其实是要for循环 初始化一列和一排的
  (4) Determine the traversal order from front to back
  (5) Example to derive dp array
  (6) Print dp array

• ac

class Solution {
    public int uniquePaths(int m, int n) {
        int[][]dp = new int[m][n];

        for(int i=0; i<m; i++) {
            dp[i][0] = 1;
        }
        
        for(int i=0; i<n; i++) {
            dp[0][i] = 1;
        }

        for(int i=1; i<m; i++) {
            for(int j=1; j<n; j++) {
                dp[i][j] = dp[i-1][j] + dp[i][j-1];
            }
        }

        return dp[m-1][n-1];
    }
}
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java

Find the length of a two-dimensional array

int m = obstacleGrid.length;
int n = obstacleGrid[0].length;
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63. Different Paths II

• Derive the formula dp[i][j] = dp[i-1][j] + dp[i][j-1];
  If there is an obstacle at [i][j], it would not be possible to move forward.
  if(obs[i][j] == 0) dp[i][j] = dp[i-1][j] + dp[i][j-1];

• initialization
  If there is an obstacle in the first row or column, all the following ones will be initialized to 0

• Error

java.lang.ArrayIndexOutOfBoundsException: Index -1 out of bounds for length 3
  at line 22, Solution.uniquePathsWithObstacles
  at line 56, __DriverSolution__.__helper__
  at line 86, __Driver__.main
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Because dp starts from [1][1]

class Solution {
    public int uniquePathsWithObstacles(int[][] obstacleGrid) {
        int m = obstacleGrid.length;
        int n = obstacleGrid[0].length;

        int[][]dp = new int[m][n];
        if(obstacleGrid[0][0] == 1 || obstacleGrid[m-1][n-1] == 1) {
            return 0;
        } 
        //初始化
        for(int i=0; i<m && obstacleGrid[i][0]!=1; i++) {
            dp[i][0] = 1;
            //中途如果有obstacleGrid[i][0]!=0，那就暂停循环，Java初始化都赋了0
        }

        //初始化
        for(int j=0; j<n && obstacleGrid[0][j]!=1; j++) {
            dp[0][j] = 1;
        }
        for(int i=1; i<m; i++) { //这里写了0是错误的
            for(int j=1; j<n; j++) {
                dp[i][j] = (obstacleGrid[i][j]==0?(dp[i][j-1]+dp[i-1][j]):0);
            }
        }
        return dp[m-1][n-1];
    }
}

//我的思考
// obstacleGrid[i][j] = 1 此处有障碍物，走不了
// obstacleGrid[i][j] = 0
// dp[i][j] = dp[i-1][j] + dp[i][j-1]
// 如果 obstacleGrid[i-1][j] = 1，前一种状态就不能是dp[i-1][j]，dp[i][j] = dp[i][j-1]
// 如果 obstacleGrid[i][j-1] = 1，前一种状态就不能是dp[i][j-1]，dp[i][j] = dp[i-1][j]

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343. Integer Splitting

No idea

Problem Solving Ideas
① Try to split it into the same number as much as possible. When all the numbers split out are equal, the product is the largest. ② The optimal split number is 3.

• mathematical method

class Solution {
    public int integerBreak(int n) {
        if(n <= 3) return n - 1;
        int a = n / 3, b = n % 3;
        if(b == 0) return (int)Math.pow(3, a);
        if(b == 1) return (int)Math.pow(3, a - 1) * 4;
        return (int)Math.pow(3, a) * 2;
    }
}
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• Dynamic programming?
  I don't quite understand

96. Different Binary Search Trees