Given an n x n square matrix, find sum of all subsquares of size k x k (original) (raw)
Last Updated : 12 Dec, 2022
Given an n x n square matrix, find sum of all sub-squares of size k x k where k is smaller than or equal to n.
Examples :
Input: n = 5, k = 3 arr[][] = { {1, 1, 1, 1, 1}, {2, 2, 2, 2, 2}, {3, 3, 3, 3, 3}, {4, 4, 4, 4, 4}, {5, 5, 5, 5, 5}, }; Output: 18 18 18 27 27 27 36 36 36
Input: n = 3, k = 2 arr[][] = { {1, 2, 3}, {4, 5, 6}, {7, 8, 9}, }; Output: 12 16 24 28
A Simple Solution is to one by one pick starting point (leftmost-topmost corner) of all possible sub-squares. Once the starting point is picked, calculate sum of sub-square starting with the picked starting point.
Following is the implementation of this idea.
C++ `
// A simple C++ program to find sum of all subsquares of // size k x k #include using namespace std;
// Size of given matrix #define n 5
// A simple function to find sum of all sub-squares of size // k x k in a given square matrix of size n x n void printSumSimple(int mat[][n], int k) { // k must be smaller than or equal to n if (k > n) return;
// row number of first cell in current sub-square of
// size k x k
for (int i = 0; i < n - k + 1; i++) {
// column of first cell in current sub-square of
// size k x k
for (int j = 0; j < n - k + 1; j++) {
// Calculate and print sum of current sub-square
int sum = 0;
for (int p = i; p < k + i; p++)
for (int q = j; q < k + j; q++)
sum += mat[p][q];
cout << sum << " ";
}
// Line separator for sub-squares starting with next
// row
cout << endl;
}}
// Driver program to test above function int main() { int mat[n][n] = { { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3 }, { 4, 4, 4, 4, 4 }, { 5, 5, 5, 5, 5 }, }; int k = 3; printSumSimple(mat, k); return 0; }
// This code is contributed by Aditya Kumar (adityakumar129)
C
// A simple C program to find sum of all subsquares of // size k x k #include <stdio.h>
// Size of given matrix #define n 5
// A simple function to find sum of all sub-squares of size // k x k in a given square matrix of size n x n void printSumSimple(int mat[][n], int k) { // k must be smaller than or equal to n if (k > n) return;
// row number of first cell in current sub-square of
// size k x k
for (int i = 0; i < n - k + 1; i++) {
// column of first cell in current sub-square of
// size k x k
for (int j = 0; j < n - k + 1; j++) {
// Calculate and print sum of current sub-square
int sum = 0;
for (int p = i; p < k + i; p++)
for (int q = j; q < k + j; q++)
sum += mat[p][q];
printf("%d ", sum);
}
// Line separator for sub-squares starting with next
// row
printf("\n");
}}
// Driver program to test above function int main() { int mat[n][n] = { { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3 }, { 4, 4, 4, 4, 4 }, { 5, 5, 5, 5, 5 }, }; int k = 3; printSumSimple(mat, k); return 0; }
// This code is contributed by Aditya Kumar (adityakumar129)
Java
// A simple Java program to find sum of all // subsquares of size k x k import java.io.*; class GFG {
// Size of given matrix
static final int n = 5;
// A simple function to find sum of all
// sub-squares of size k x k in a given
// square matrix of size n x n
static void printSumSimple(int mat[][], int k)
{
// k must be smaller than or equal to n
if (k > n)
return;
// row number of first cell in current sub-square of
// size k x k
for (int i = 0; i < n - k + 1; i++) {
// column of first cell in current sub-square of
// size k x k
for (int j = 0; j < n - k + 1; j++) {
// Calculate and print sum of current
// sub-square
int sum = 0;
for (int p = i; p < k + i; p++)
for (int q = j; q < k + j; q++)
sum += mat[p][q];
System.out.print(sum + " ");
}
// Line separator for sub-squares starting with
// next row
System.out.println();
}
}
// Driver Program to test above function
public static void main(String arg[])
{
int mat[][] = { { 1, 1, 1, 1, 1 },
{ 2, 2, 2, 2, 2 },
{ 3, 3, 3, 3, 3 },
{ 4, 4, 4, 4, 4 },
{ 5, 5, 5, 5, 5 } };
int k = 3;
printSumSimple(mat, k);
}}
// This code is contributed by Aditya Kumar (adityakumar129)
Python3
A simple Python 3 program to find sum
of all subsquares of size k x k
Size of given matrix
n = 5
A simple function to find sum of all
sub-squares of size k x k in a given
square matrix of size n x n
def printSumSimple(mat, k):
# k must be smaller than or equal to n
if (k > n):
return
# row number of first cell in current
# sub-square of size k x k
for i in range(n - k + 1):
# column of first cell in current
# sub-square of size k x k
for j in range(n - k + 1):
# Calculate and print sum of
# current sub-square
sum = 0
for p in range(i, k + i):
for q in range(j, k + j):
sum += mat[p][q]
print(sum, end = " ")
# Line separator for sub-squares
# starting with next row
print()Driver Code
if name == "main":
mat = [[1, 1, 1, 1, 1],
[2, 2, 2, 2, 2],
[3, 3, 3, 3, 3],
[4, 4, 4, 4, 4],
[5, 5, 5, 5, 5]]
k = 3
printSumSimple(mat, k)This code is contributed by ita_c
C#
// A simple C# program to find sum of all // subsquares of size k x k using System;
class GFG { // Size of given matrix static int n = 5;
// A simple function to find sum of all
//sub-squares of size k x k in a given
// square matrix of size n x n
static void printSumSimple(int [,]mat, int k)
{
// k must be smaller than or
// equal to n
if (k > n) return;
// row number of first cell in
// current sub-square of size k x k
for (int i = 0; i < n-k+1; i++)
{
// column of first cell in current
// sub-square of size k x k
for (int j = 0; j < n-k+1; j++)
{
// Calculate and print sum of
// current sub-square
int sum = 0;
for (int p = i; p < k+i; p++)
for (int q = j; q < k+j; q++)
sum += mat[p,q];
Console.Write(sum+ " ");
}
// Line separator for sub-squares
// starting with next row
Console.WriteLine();
}
}
// Driver Program to test above function
public static void Main()
{
int [,]mat = {{1, 1, 1, 1, 1},
{2, 2, 2, 2, 2},
{3, 3, 3, 3, 3},
{4, 4, 4, 4, 4},
{5, 5, 5, 5, 5}};
int k = 3;
printSumSimple(mat, k);
}}
// This code is contributed by Sam007
PHP
JavaScript
`
Output
18 18 18
27 27 27
36 36 36
Time complexity: O(k2n2).
Auxiliary Space: O(1)
We can solve this problem in O(n2) time using a Tricky Solution.
The idea is to preprocess the given square matrix. In the preprocessing step, calculate sum of all vertical strips of size k x 1 in a temporary square matrix stripSum[][]. Once we have sum of all vertical strips, we can calculate sum of first sub-square in a row as sum of first k strips in that row, and for remaining sub-squares, we can calculate sum in O(1) time by removing the leftmost strip of previous subsquare and adding the rightmost strip of new square.
Following is the implementation of this idea.
C++ `
// An efficient C++ program to find sum of all subsquares of // size k x k #include using namespace std;
// Size of given matrix #define n 5
// A O(n^2) function to find sum of all sub-squares of size // k x k in a given square matrix of size n x n void printSumTricky(int mat[][n], int k) { // k must be smaller than or equal to n if (k > n) return;
// 1: PREPROCESSING
// To store sums of all strips of size k x 1
int stripSum[n][n];
// Go column by column
for (int j = 0; j < n; j++) {
// Calculate sum of first k x 1 rectangle in this
// column
int sum = 0;
for (int i = 0; i < k; i++)
sum += mat[i][j];
stripSum[0][j] = sum;
// Calculate sum of remaining rectangles
for (int i = 1; i < n - k + 1; i++) {
sum += (mat[i + k - 1][j] - mat[i - 1][j]);
stripSum[i][j] = sum;
}
}
// 2: CALCULATE SUM of Sub-Squares using stripSum[][]
for (int i = 0; i < n - k + 1; i++) {
// Calculate and print sum of first subsquare in
// this row
int sum = 0;
for (int j = 0; j < k; j++)
sum += stripSum[i][j];
cout << sum << " ";
// Calculate sum of remaining squares in current row
// by removing the leftmost strip of previous
// sub-square and adding a new strip
for (int j = 1; j < n - k + 1; j++) {
sum += (stripSum[i][j + k - 1]
- stripSum[i][j - 1]);
cout << sum << " ";
}
cout << endl;
}}
// Driver program to test above function int main() { int mat[n][n] = { { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3 }, { 4, 4, 4, 4, 4 }, { 5, 5, 5, 5, 5 }, }; int k = 3; printSumTricky(mat, k); return 0; }
// This code is contributed by Aditya Kumar (adityakumar129)
C
// An efficient C program to find sum of all subsquares of // size k x k #include <stdio.h>
// Size of given matrix #define n 5
// A O(n^2) function to find sum of all sub-squares of size // k x k in a given square matrix of size n x n void printSumTricky(int mat[][n], int k) { // k must be smaller than or equal to n if (k > n) return;
// 1: PREPROCESSING
// To store sums of all strips of size k x 1
int stripSum[n][n];
// Go column by column
for (int j = 0; j < n; j++) {
// Calculate sum of first k x 1 rectangle in this
// column
int sum = 0;
for (int i = 0; i < k; i++)
sum += mat[i][j];
stripSum[0][j] = sum;
// Calculate sum of remaining rectangles
for (int i = 1; i < n - k + 1; i++) {
sum += (mat[i + k - 1][j] - mat[i - 1][j]);
stripSum[i][j] = sum;
}
}
// 2: CALCULATE SUM of Sub-Squares using stripSum[][]
for (int i = 0; i < n - k + 1; i++) {
// Calculate and print sum of first subsquare in
// this row
int sum = 0;
for (int j = 0; j < k; j++)
sum += stripSum[i][j];
printf("%d ", sum);
// Calculate sum of remaining squares in current row
// by removing the leftmost strip of previous
// sub-square and adding a new strip
for (int j = 1; j < n - k + 1; j++) {
sum += (stripSum[i][j + k - 1]
- stripSum[i][j - 1]);
printf("%d ", sum);
}
printf("\n");
}}
// Driver program to test above function int main() { int mat[n][n] = { { 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 }, { 3, 3, 3, 3, 3 }, { 4, 4, 4, 4, 4 }, { 5, 5, 5, 5, 5 }, }; int k = 3; printSumTricky(mat, k); return 0; }
// This code is contributed by Aditya Kumar (adityakumar129)
Java
// An efficient Java program to find sum of all subsquares // of size k x k import java.io.*;
class GFG {
// Size of given matrix
static int n = 5;
// A O(n^2) function to find sum of all sub-squares of
// size k x k in a given square matrix of size n x n
static void printSumTricky(int mat[][], int k)
{
// k must be smaller than or equal to n
if (k > n)
return;
// 1: PREPROCESSING
// To store sums of all strips of size k x 1
int stripSum[][] = new int[n][n];
// Go column by column
for (int j = 0; j < n; j++) {
// Calculate sum of first k x 1 rectangle in
// this column
int sum = 0;
for (int i = 0; i < k; i++)
sum += mat[i][j];
stripSum[0][j] = sum;
// Calculate sum of remaining rectangles
for (int i = 1; i < n - k + 1; i++) {
sum += (mat[i + k - 1][j] - mat[i - 1][j]);
stripSum[i][j] = sum;
}
}
// 2: CALCULATE SUM of Sub-Squares
// using stripSum[][]
for (int i = 0; i < n - k + 1; i++) {
// Calculate and print sum of first
// subsquare in this row
int sum = 0;
for (int j = 0; j < k; j++)
sum += stripSum[i][j];
System.out.print(sum + " ");
// Calculate sum of remaining squares in current
// row by removing the leftmost strip of
// previous sub-square and adding a new strip
for (int j = 1; j < n - k + 1; j++) {
sum += (stripSum[i][j + k - 1]
- stripSum[i][j - 1]);
System.out.print(sum + " ");
}
System.out.println();
}
}
// Driver program to test above function
public static void main(String[] args)
{
int mat[][] = {
{ 1, 1, 1, 1, 1 }, { 2, 2, 2, 2, 2 },
{ 3, 3, 3, 3, 3 }, { 4, 4, 4, 4, 4 },
{ 5, 5, 5, 5, 5 },
};
int k = 3;
printSumTricky(mat, k);
}}
// This code is contributed by Aditya Kumar (adityakumar129)
Python3
An efficient Python3 program to find sum
of all subsquares of size k x k
A O(n^2) function to find sum of all
sub-squares of size k x k in a given
square matrix of size n x n
def printSumTricky(mat, k): global n
# k must be smaller than or
# equal to n
if k > n:
return
# 1: PREPROCESSING
# To store sums of all strips of size k x 1
stripSum = [[None] * n for i in range(n)]
# Go column by column
for j in range(n):
# Calculate sum of first k x 1
# rectangle in this column
Sum = 0
for i in range(k):
Sum += mat[i][j]
stripSum[0][j] = Sum
# Calculate sum of remaining rectangles
for i in range(1, n - k + 1):
Sum += (mat[i + k - 1][j] -
mat[i - 1][j])
stripSum[i][j] = Sum
# 2: CALCULATE SUM of Sub-Squares
# using stripSum[][]
for i in range(n - k + 1):
# Calculate and print sum of first
# subsquare in this row
Sum = 0
for j in range(k):
Sum += stripSum[i][j]
print(Sum, end = " ")
# Calculate sum of remaining squares
# in current row by removing the leftmost
# strip of previous sub-square and adding
# a new strip
for j in range(1, n - k + 1):
Sum += (stripSum[i][j + k - 1] -
stripSum[i][j - 1])
print(Sum, end = " ")
print()Driver Code
n = 5 mat = [[1, 1, 1, 1, 1], [2, 2, 2, 2, 2], [3, 3, 3, 3, 3], [4, 4, 4, 4, 4], [5, 5, 5, 5, 5]] k = 3 printSumTricky(mat, k)
This code is contributed by PranchalK
C#
// An efficient C# program to find // sum of all subsquares of size k x k using System; class GFG {
// Size of given matrix
static int n = 5;
// A O(n^2) function to find sum of all
// sub-squares of size k x k in a given
// square matrix of size n x n
static void printSumTricky(int [,]mat, int k)
{
// k must be smaller than or equal to n
if (k > n)
return;
// 1: PREPROCESSING
// To store sums of all strips of
// size k x 1
int [,]stripSum = new int[n,n];
// Go column by column
for (int j = 0; j < n; j++)
{
// Calculate sum of first k x 1
// rectangle in this column
int sum = 0;
for (int i = 0; i < k; i++)
sum += mat[i,j];
stripSum[0,j] = sum;
// Calculate sum of remaining
// rectangles
for (int i = 1; i < n - k + 1; i++)
{
sum += (mat[i + k - 1,j]
- mat[i - 1,j]);
stripSum[i,j] = sum;
}
}
// 2: CALCULATE SUM of Sub-Squares
// using stripSum[][]
for (int i = 0; i < n - k + 1; i++)
{
// Calculate and print sum of first
// subsquare in this row
int sum = 0;
for (int j = 0; j < k; j++)
sum += stripSum[i,j];
Console.Write(sum + " ");
// Calculate sum of remaining
// squares in current row by
// removing the leftmost strip
// of previous sub-square
// and adding a new strip
for (int j = 1; j < n - k + 1; j++)
{
sum += (stripSum[i,j + k - 1]
- stripSum[i,j - 1]);
Console.Write(sum + " ");
}
Console.WriteLine();
}
}
// Driver program to test above function
public static void Main()
{
int [,]mat = {{1, 1, 1, 1, 1},
{2, 2, 2, 2, 2},
{3, 3, 3, 3, 3},
{4, 4, 4, 4, 4},
{5, 5, 5, 5, 5},
};
int k = 3;
printSumTricky(mat, k);
}}
// This code is contributed by nitin mittal.
PHP
JavaScript
`
Output
18 18 18
27 27 27
36 36 36
Time complexity: O(n2).
Auxiliary Space: O(n2).