APPM 3310 - Matrix Methods and Applications APPM 3310 - Matrix Methods and Applications Introduces linear algebra and matrices with an emphasis on applications, including methods to solve systems of ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Complex matrices, diagonalisation, special types of matrix and their properties. Jordan normal form, with applications to the solutions of differential and difference equations. Singular values, and ...

We establish the convergence theories of the symmetric relaxation methods for the system of linear equations with symmetric positive definite coefficient matrix, and more generally, those of the ...

Topics covered: One-variable calculus including inverse functions, local inverses, critical points, optimisation, integration and differential equations, Functions of several variables including ...

Students in linear models courses and data analysts usually rely upon intuition and/or trial and error methods to determine estimability. We suggest reducing the design matrix to row echelon form as a ...

Figure 3.5.2. The derivative Use a linear approximation to estimate f (0.9) f (0.9) and f (1.1). f (1.1) . Are your estimates in part (a) too large or too small? State Newton's iterative formula that ...