The project is inspired by the teachings of Stefan Harmeling in the Linear Algebra lecture at TU Dortmund. It translates mathematical concepts into a practical and interactive tool with a graphical ...

This course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, ...

In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a ... Fiber: Fiber is defined by fixing every index in a tensor but one. A matrix column is ...

This is the second edition of the best-selling introduction to linear algebra. Presupposing no knowledge beyond calculus, it provides a thorough treatment of all the basic concepts, such as vector ...

If matrix B and C are row equivalent, their columns must be in the same span and satisfy the same linear dependence equations. Therefore B and C must contain the same number of pivot columns and ...

There are little-noticed points in the plane, which are artifacts of linear regression. The points, which are called pivot points, are the intersections of sets of regression lines. We derive the ...

CLA encodes matrices with lightweight, value-based compression techniques and executes linear algebra operations directly on the compressed representations. We contribute effective column compression ...