This course is part of the Mathematics for Machine Learning and Data Science Specialization by DeepLearning.AI. After completing this course, learners will be able to: Represent data as vectors and ...

Matrix multiplication is a fundamental operation in linear algebra and has numerous applications in various fields of science, engineering, and computation. Multiplying matrices may seem complicated ...

Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

This repository focuses on matrix multiplication in the Java programming language. Matrix multiplication is a fundamental operation in linear algebra and finds a wide range of applications in fields ...

As the notation suggests, we can turn a system of linear equations into a matrix equation and study it using matrix methods.

In this paper, a series of bicomplex representation methods of quaternion division algebra is introduced. We present a new multiplication concept of quaternion matrices, a new determinant concept, a ...

Abstract: This chapter discusses asymptotic existence of Hadamard matrices. While it is conjectured that Hadamard matrices exist for all orders 4t t > 0, sustained effort over five decades only ...