Each Cube is defined by a position vector in R3, a scale factor in R1, and an orientation that is described using a quaternion. When the program loads, 3 random unit quaternions are initialised for ...

Abstract: In this tutorial some basic linear algebra problems: basis change and projection, are discussed together with examples of their applications in signal and image processing. In typical linear ...

In this video, Jakub Kurzak, Research Assistant Professor at the University of Tennessee’s Innovative Computing Laboratory, discusses the Software for Linear Algebra Targeting Exascale (SLATE) project ...

A research project exploring applications of linear algebra in machine learning. Project Title: To be finalized A research project exploring how linear algebra concepts are applied in machine learning ...

NumPy includes some tools for working with linear algebra in the numpy.linalg module. However, unless you really don’t want to add SciPy as a dependency to your project, it’s typically better to use ...