Abstract: Matrix multiplication plays very important role in many scientific disciplines because of fact that it is considered as the main tool for many other computations in different areas, like ...

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 is my first university project in which I used Python and its libraries such as Numpy and Turtle. This simple application resolves the Linear Transformation of a vector and demonstrate it ...

A new mathematical framework outlining an invertible linear transformation matrix that maps points from one abstract geometric space onto another, while preserving the underlying topology and ...

If \(A\) is a \(3\times 3\) matrix then we can apply a linear transformation to each rgb vector via matrix multiplication, where \([r,g,b]\) are the original values ...

The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...