In Mathematics, there are no shortcuts to understanding, but there are definitely smarter paths to scoring well.

This paper gives a detailed presentation of the Substitution-Newton-Raphson method, suitable for large sparse non-linear systems. It combines the Successive Substitution method and the Newton-Raphson ...

Contributed by M. Brian Maple, July 3, 2018 (sent for review April 23, 2018; reviewed by Filip Ronning and Brian C. Sales) ...

Abstract: While deep learning methods have achieved state-of-theart performance in many challenging inverse problems like image inpainting and super-resolution, they invariably involve ...

Abstract: Recently, the zeroing neural network (ZNN) model with continues-time form has been established to solve the time-varying system of linear equation and inequality. For completeness and ...