Professors and students alike praised math professor Gilbert Strang for his contributions last week. One social media user said his book "Introduction to Applied Mathematics" is a masterpiece.

Course Overview This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, ...

Python for Linear Algebra These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be ...

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

Brief Description of Course Content Introduces the fundamentals of linear algebra in the context of computer science applications. Includes vector spaces, matrices, linear systems, and eigenvalues.

Learning outcomes 1 Explain and discuss basic concepts/properties such as linear independence, basis, dimension of vector spaces. 2 Use various methods for solving systems of linear equations. 3 Find ...

Id: 008281 Credits Min: 3 Credits Max: 3 Description Elementary set theory and solution sets of systems of linear equations. An introduction to proofs and the axiomatic methods through a study of the ...

In this article we consider the linear quantile regression model with a power transformation on the dependent variable. Like the classical Box—Cox transformation approach, it extends the applicability ...

In a transformation model h (Y) = X'β + ε for some smooth and usually monotone function h, we are often interested in the direction of β without knowing the exact form of h. We consider a projection ...