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 ...

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

Specific topics include solving systems of linear equations, linear independence, linear transformations, matrix inverses, vector spaces, and least-squares problems. We will also cover a sequence of ...

linear transformations, matrix inverses, vector spaces, and least-squares problems. We will also cover a sequence of case studies showing different applications of these concepts. No programming or ...

(Num = Numerical, Sci = Scientific) NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level ...

Introduces ordinary differential equations, systems of linear equations, matrices, determinants, vector spaces, linear transformations, and systems of linear differential equations. Prereq., APPM 1360 ...