T-SKM-Net: Novel Neural Network for Linear Constraint Satisfaction

This research introduces a novel neural network framework, T-SKM-Net, leveraging the Sampling Kaczmarz-Motzkin method for solving linear constraint satisfaction problems. The paper likely details the architecture, training process, and performance of the proposed method compared to existing approaches.