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leetcode303-304 Range Sum Query Immutable

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摘要:假設(shè)有一個(gè)整數(shù)數(shù)組,計(jì)算下標(biāo)從到包含和的數(shù)字的和。求和的請求將會(huì)在同一個(gè)整數(shù)數(shù)組上多次請求。這一題思路很簡單,因?yàn)?。而利用?dòng)態(tài)規(guī)劃則很容易知道。這里將原先的一維數(shù)組替換成二維數(shù)組。要求計(jì)算一個(gè)矩形內(nèi)的所有元素的值。

Range Sum Query Immutable
Given an integer array nums, find the sum of the elements between indices i and j (i ≤ j), inclusive.

Example:
Given nums = [-2, 0, 3, -5, 2, -1]

sumRange(0, 2) -> 1
sumRange(2, 5) -> -1
sumRange(0, 5) -> -3

Note:
You may assume that the array does not change.
There are many calls to sumRange function.

假設(shè)有一個(gè)整數(shù)數(shù)組,計(jì)算下標(biāo)從i到j(luò)(包含i和j)的數(shù)字的和。求和的請求將會(huì)在同一個(gè)整數(shù)數(shù)組上多次請求。

這一題思路很簡單,因?yàn)?b>sum[i-j] = sum[0~j] - sum[0~(i-1)]。我們只需要通過一圈遍歷計(jì)算出每個(gè)下標(biāo)至0的所有數(shù)字的和即可。而利用動(dòng)態(tài)規(guī)劃則很容易知道sum[0~j] = sum[0~j-1] + num[j]

    private int[] sum;
    public NumArray(int[] nums) {
        this.sum = new int[nums.length];
        for(int i = 0 ; i
Range Sum Query Immutable II
Given a 2D matrix matrix, find the sum of the elements inside the rectangle defined by its upper left corner (row1, col1) and lower right corner (row2, col2).

Range Sum Query 2D
The above rectangle (with the red border) is defined by (row1, col1) = (2, 1) and (row2, col2) = (4, 3), which contains sum = 8.

Example:
Given matrix = [
  [3, 0, 1, 4, 2],
  [5, 6, 3, 2, 1],
  [1, 2, 0, 1, 5],
  [4, 1, 0, 1, 7],
  [1, 0, 3, 0, 5]
]

sumRegion(2, 1, 4, 3) -> 8
sumRegion(1, 1, 2, 2) -> 11
sumRegion(1, 2, 2, 4) -> 12
Note:
You may assume that the matrix does not change.
There are many calls to sumRegion function.
You may assume that row1 ≤ row2 and col1 ≤ col2.

這里將原先的一維數(shù)組替換成二維數(shù)組。要求計(jì)算一個(gè)矩形內(nèi)的所有元素的值。

其實(shí)思路還是和原來一樣的,sum(row1, column1, row2, column2) = sum(0,0,row2, col1-1) + sum(0,0,row1-1, col2) - sum(0,0,row1-1, col1-1)。這里需要排除一些特殊情況,比如row1=1或是col1=1等。

    private int[][] sum;
    public NumMatrix(int[][] matrix){
        int row = matrix.length;
        if(row==0) {sum = new int[0][0]; return;}
        int column = matrix[0].length;
        sum = new int[row][column];
        
        for(int i = 0 ; i0? sum[row1-1][col2] : 0 )- (col1>0 ? sum[row2][col1-1] : 0) + (row1>0 && col1>0 ? sum[row1-1][col1-1] : 0);
    }
    


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