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 ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In the quest to transform organizations, leaders often champion bold visions: compelling ...

There's a reason Adrienne Adhami is able to run marathons, write books, host podcasts and be a keynote speaker to industry-leading companies like Microsoft and Spotify: she's able to make good ...

Abstract: An H-matrix accelerated direct solver employing the high-order Chebyshev-based Boundary Integral Equation (CBIE) method has been formulated, tested, and profiled for performance on high ...

Abstract: In this work, we present a new solution procedure to solve the matrix equation generated by the well-known method of moments (MOM). The first step involves approximating the given structure ...

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...