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 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 ...

This project transforms abstract linear algebra concepts into tangible, interactive visualizations. Input any 2×2 matrix and instantly see how it transforms a unit square—watch rotations, scaling, ...

MATH 146 is an advanced-level version of MATH 136. Topics includes vector spaces, linear dependence and span, bases and dimension, linear transformations, rank, change of coordinate matrices, and ...

ABSTRACT: In this paper, we established a connection between a square matrix “A” of order “n” and a matrix defined through a new approach of the recursion relation. (where is any column matrix with n ...

ABSTRACT: The purpose of this work is to present an effective tool for computing different QR-decompositions of a complex nonsingular square matrix. The concept of the discrete signal-induced heap ...