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

Abstract: Dynamic neural networks are considered as an effective method in the field of scientific computing, among which gradient neural networks (GNNs) are an efficient method for solving static ...

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: 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 ...