answersLogoWhite

0


Best Answer

the transpose of null space of A is equal to orthogonal complement of A

User Avatar

Wiki User

15y ago

Still curious? Ask our experts.

Chat with our AI personalities

TaigaTaiga
Every great hero faces trials, and you—yes, YOU—are no exception!
Chat with Taiga
ProfessorProfessor
I will give you the most educated answer.
Chat with Professor
DevinDevin
I've poured enough drinks to know that people don't always want advice—they just want to talk.
Chat with Devin

Add your answer:

Earn +20 pts
Q: How do you check orthogonality of a matrix using arrays?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

Write a program using iostreams to take as input two multi-dimensional arrays and print their sum as output Matrix Addition in Matrix format?

http://www.assignmentsclub.com/


Matrix multiplication using mpi?

Check related links


How can I use the numpy diagonalize function to find the eigenvalues and eigenvectors of a matrix in Python?

To find the eigenvalues and eigenvectors of a matrix using the numpy diagonalize function in Python, you can first create a matrix using numpy arrays. Then, use the numpy.linalg.eig function to compute the eigenvalues and eigenvectors. Here's an example code snippet: python import numpy as np Create a matrix A np.array(1, 2, 3, 4) Compute eigenvalues and eigenvectors eigenvalues, eigenvectors np.linalg.eig(A) print("Eigenvalues:", eigenvalues) print("Eigenvectors:", eigenvectors) This code will output the eigenvalues and eigenvectors of the matrix A.


What is a fast-transpose algorithm for sparse matrices?

A fast-transpose is a computer algorithm that quickly transposes a sparse matrix using a relatively small amount of memory. Using arrays normally to record a sparse matrix uses up a lot of memory since many of the matrix's values are zero. In addition, using the normal transpose algorithm to transpose this matrix will take O(cols*elements) amount of time. The fast-transpose algorithm only uses a little memory to record the matrix and takes only O(cols+elements) amount of time, which is efficient considering the number of elements equals cols*rows.


What is the way by which you can make the user defined the size of the arrays?

By using the library function #define A[] we can define the size of arrays


What is the purpose of using arrays in C language?

The purpose of using arrays in C is to store multiple values in one variable. Then you can make programs that use arrays like lists, printing values from multiple arrays into one line. It take memory in continues block then we can know memory location easily. We can retrieve data quickly.


What is memory leakage in terms of arrays?

leakage in arrays occur when you declare an array with big size and using only very few bytes.


Wap to find whether given matrix is skew symmetric matrix or not using arrays?

int sym_test(const **a,int n){ int i,j,sym; i=1;j=0;sym=1; while(sym && i<n){ if ( a[i][j] != -[j][i] ) sym=0; else if (j<i-1) ++j; else ++i,y=0; } return sym; }


Write a program to read your name and reverse it using arrays?

abdulrahman


What mult fact can be found by using the arrays 2X9 and 5X9?

9


How does using smaller arrays help you to multiply?

You have misread or misunderstood something.


What multiplication can be found by using the arrays for 2x 9 and 5x9?

7x9