Abstract: Different methods exist for deriving a 3D linear transformation, including vector algebra, geometric algebra, and matrix algebra (Artin, 1991; Hestenes, 1986, Foley et al., 2002). In this ...

Abstract: Rotation matrices are a convenient and intuitive way to describe algebraically the relative orientation of multiple cameras or of the same camera shooting from different points of view.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

This is the course homepage for both daytime and evening sections of OPMT 5701. This course Introduces calculus to business students. Topics reviewed are matrix algebra, differentiation and ...

The first term of my master’s degree in economics was an alarming experience. The econometrics was bewildering. The macroeconomics was even more mysterious. Everything was drenched in ...

A generalization of Conventional Matrix Product (CMP), called the Semi-Tensor Product (STP), is proposed. It extends the CMP to two arbitrary matrices and maintains all fundamental properties of CMP.

This is a book of exercises in Linear Algebra. Through a systematic detailed discussion of 200 solved exercises, important concepts and topics are reviewed. The student is led to make a systematic ...

But the real puzzle isn’t whether de-skilling exists—it plainly does—but rather what kind of thing it is. Are all forms of de ...

Tutorials on scenario modelling for outbreak analytics with R developed by the Epiverse-TRACE initiative. These tutorials are visible at: https://epiverse-trace ...

Three hours of lecture/discussion per week. Algebraic operations on polynomials and rational functions as expressions, in equations, or inequalities. Graphing of linear and polynomial equations. An ...