#include<iostream>
#include<random>
#include<time.h>
int main()
{
std::default_random_engine generator ((unsigned)time(0));
std::uniform_int_distribution<int> distribution (1,9);
std::cout << "Array:\n" << std::endl;
int a[3][3];
for (size_t r=0; r!=3; ++r)
{
for (size_t c=0; c!=3; ++c)
{
a[r][c] = distribution (generator);
std::cout << a[r][c] << '\t';
}
std::cout << std::endl;
}
std::cout << std::endl;
int diagonal=0, anti_diagonal=0;
for (size_t i=0; i!=3; ++i)
{
diagonal += a[i][i];
anti_diagonal += a[2-i][i];
}
std::cout << "Diagonal sum : " << diagonal << std::endl;
std::cout << "Anti-diagonal sum : " << anti_diagonal << std::endl;
}
Write a program in c++ that take input in a integer matrix of size 4*4 and find out if the entered matrix is diagonal or not.
You basically write a nested for loop (one for within another one), to copy the elements of the matrix to a new matrix.
Matrices have two diagonals: main diagonal and anti-diagonal. The main diagonal runs from top-left to bottom-right. For square matrix A: // main diagonal: for (size_t xy=0; xy<A.size(); ++xy) cin >> A[xy][xy]; // anti-diagonal for (size_t x = A.size()-1, y=0; y<A.size(); --x; ++y cin >> A[x][y];
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maltiplication of matrix for algorithme
No. A scalar matrix is a diagonal matrix whose main diagonal elements are the same. Only if the diagonal elements are all 1 is it an identity matrix.
It is the product of the three diagonal elements.
It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero.
Write a program in c++ that take input in a integer matrix of size 4*4 and find out if the entered matrix is diagonal or not.
Did you know that memory allocation is not needed to display the matrix? However, the C program is to find the sum of all the elements.
It is the product of the three diagonal elements.
A square matrix is said to be scalene Matrix if it has all principal diagonal elements equal and remaining all
Diagonal Matrix A square matrix A which is both uper-triangular and lower triangular is called a diagonal matrix. Diagonal matrix is denoted by D.
#include <stdio.h> #include <conio.h> void main() { int d[3][3] = { 1, 2, 6, 3, 8, 5, 5, 6, 7 }; int k = 0, j = 0; int sum1 = 0, sum2 = 0; for (j = 0; j < 3; j++) { for (k = 0; k < 3; k++) printf(" %3d", d[j][k]); printf("\n"); } for (j = 0; j < 3; j++) { sum1 = sum1 + d[j][j]; } k = 3 - 1; for (j = 0; j < 3; j++) { if (k >= 0) { sum2 = sum2 + d[j][k]; k--; } } printf("Sum of First diagonal= %d\n", sum1); printf("Sum of Second diagonal= %d", sum2); getch();
Symmetric Matrix:Given a square matrix A such that A'=A, where A' is the transpose of A, then A is a symmetric matrix.note: No need to think about diagonal elements, they can be anything.
Symmetric Matrix:Given a square matrix A such that A'=A, where A' is the transpose of A, then A is a symmetric matrix.note: No need to think about diagonal elements, they can be anything.
Symmetric Matrix:Given a square matrix A such that A'=A, where A' is the transpose of A, then A is a symmetric matrix.note: No need to think about diagonal elements, they can be anything.