We propose a novel inverse-free neurodynamic approach (NIFNA) for solving absolute value equations (AVE). The NIFNA guarantees global convergence and notably improves convergence speed by achieving ...

Absolute value equations (AVEs), characterised by the inclusion of absolute value functions in the variables, present inherently non‐smooth and computationally challenging problems that are often ...

Abstract: In this brief, a novel projection neurodynamic network with fixed-time convergence is proposed for solving absolute value equations. In contrast to most existing projection neurodynamic ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

ABSTRACT: Some new systems of exponentially general equations are introduced and investigated, which can be used to study the odd-order, non-positive and nonsymmetric exponentially boundary value ...

Abstract: This technical note presents a unified single-layer inverse-free neurodynamic network (SINN) to tackle absolute value equations (AVEs). A new global error ...

Grade school math students are likely familiar with teachers admonishing them not to just guess the answer to a problem. But a new proof establishes that, in fact, the right kind of guessing is ...

This project implements a reinforcement learning (RL) agent using Q-learning to solve linear equations of the form ax + by = c. The agent learns to minimize the error ...

In mathematics, a system of linear equations (or linear system) is a collection of two or more linear equations involving the same set of variables. For example, look at the following equations: These ...