给定一个NxN二维矩阵,该任务将查找所有子矩阵的总和。
例子:
Input : arr[] = {{1, 1},
{1, 1}};
Output : 16
Explanation:
Number of sub-matrices with 1 elements = 4
Number of sub-matrices with 2 elements = 4
Number of sub-matrices with 3 elements = 0
Number of sub-matrices with 4 elements = 1
Since all the entries are 1, the sum becomes
sum = 1 * 4 + 2 * 4 + 3 * 0 + 4 * 1 = 16
Input : arr[] = {{1, 2, 3},
{4, 5, 6},
{7, 8, 9}}
Output : 500
简单的解决方案:一个简单的解决方案是生成所有可能的子矩阵,并对所有子矩阵求和。
该方法的时间复杂度将为O(n 6 )。
高效的解决方案:对于矩阵的每个元素,让我们尝试查找元素所在的子矩阵的数量。
这可以在O(1)时间内完成。让我们假设元素的索引在基于0的索引中为(X,Y),则该元素的子矩阵(S x,y )的个数可以由公式S x,y =(X + 1)*(Y + 1)*(N-X)*(N-Y) 。该公式有效,因为我们只需要在矩阵上选择两个不同的位置,这将创建一个包围该元素的子矩阵。因此,对于每个元素,“ sum”可以更新为sum + =(S x,y )* Arr x,y 。
下面是上述方法的实现:
C++
// C++ program to find the sum of all
// possible submatrices of a given Matrix
#include
#define n 3
using namespace std;
// Function to find the sum of all
// possible submatrices of a given Matrix
int matrixSum(int arr[][n])
{
// Variable to store
// the required sum
int sum = 0;
// Nested loop to find the number
// of submatrices, each number belongs to
for (int i = 0; i < n; i++)
for (int j = 0; j < n; j++) {
// Number of ways to choose
// from top-left elements
int top_left = (i + 1) * (j + 1);
// Number of ways to choose
// from bottom-right elements
int bottom_right = (n - i) * (n - j);
sum += (top_left * bottom_right * arr[i][j]);
}
return sum;
}
// Driver Code
int main()
{
int arr[][n] = { { 1, 1, 1 },
{ 1, 1, 1 },
{ 1, 1, 1 } };
cout << matrixSum(arr);
return 0;
}
Java
// Java program to find the sum of all
// possible submatrices of a given Matrix
class GFG
{
static final int n = 3;
// Function to find the sum of all
// possible submatrices of a given Matrix
static int matrixSum(int arr[][])
{
// Varialbe to store
// the required sum
int sum = 0;
// Nested loop to find the number
// of submatrices, each number belongs to
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
// Number of ways to choose
// from top-left elements
int top_left = (i + 1) * (j + 1);
// Number of ways to choose
// from bottom-right elements
int bottom_right = (n - i) * (n - j);
sum += (top_left * bottom_right * arr[i][j]);
}
}
return sum;
}
// Driver Code
public static void main(String[] args)
{
int arr[][] = {{1, 1, 1},
{1, 1, 1},
{1, 1, 1}};
System.out.println(matrixSum(arr));
}
}
// This code contributed by Rajput-Ji
Python3
# Python3 program to find the sum of all
# possible submatrices of a given Matrix
n = 3
# Function to find the sum of all
# possible submatrices of a given Matrix
def matrixSum(arr) :
# Variable to store the required sum
sum = 0;
# Nested loop to find the number of
# submatrices, each number belongs to
for i in range(n) :
for j in range(n) :
# Number of ways to choose
# from top-left elements
top_left = (i + 1) * (j + 1);
# Number of ways to choose
# from bottom-right elements
bottom_right = (n - i) * (n - j);
sum += (top_left * bottom_right *
arr[i][j]);
return sum;
# Driver Code
if __name__ == "__main__" :
arr = [[ 1, 1, 1 ],
[ 1, 1, 1 ],
[ 1, 1, 1 ]];
print(matrixSum(arr))
# This code is contributed by Ryuga
C#
// C# program to find the sum of all
// possible submatrices of a given Matrix
using System;
class GFG
{
static int n = 3;
// Function to find the sum of all
// possible submatrices of a given Matrix
static int matrixSum(int [,]arr)
{
// Varialbe to store the
// required sum
int sum = 0;
// Nested loop to find the number of
// submatrices, each number belongs to
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
// Number of ways to choose
// from top-left elements
int top_left = (i + 1) * (j + 1);
// Number of ways to choose
// from bottom-right elements
int bottom_right = (n - i) * (n - j);
sum += (top_left * bottom_right * arr[i, j]);
}
}
return sum;
}
// Driver Code
public static void Main()
{
int [,]arr = {{1, 1, 1},
{1, 1, 1},
{1, 1, 1}};
Console.WriteLine(matrixSum(arr));
}
}
// This code contributed by vt_m..
PHP
Javascript
输出:
100