Scilab is like a heaven for Linear Algebra related problems, as it recognizes matrices and their operations.
Defining a matrix is easy and simple. There are a lot of in-built functions to perform various tasks like transposing a matrix, multiplying or adding matrices and more.

The following are some of the examples of various Matrix Operations in Scilab.

//Matrix Operations
disp(A*B,"The multiplication of Matrix A with B:");
disp(A+B,"The sum of the Matrices A and B:");
disp(A',"The transpose of the matrix A:");
disp(B',"The transpose of the matrix B:");
disp(det(A),"The determinant of A is:");
disp(det(B),"The determinant of B is:");

matrix operations in scilab



PhD researcher at Friedrich-Schiller University Jena, Germany. I'm a physicist specializing in computational material science. I write efficient codes for simulating light-matter interactions at atomic scales. I like to develop Physics, DFT and Machine Learning related apps and softwares from time to time. Can code in most of the popular languages. Like to share my knowledge in Physics and applications using this Blog and a YouTube channel.
[wpedon id="7041" align="center"]

Leave a Reply

Your email address will not be published. Required fields are marked *