Abstract: This study explores the application and practice of deep learning algorithms and MATLAB software in teaching higher mathematics. The teaching case design of function approximation, ...

Abstract: Sparse linear algebra plays a crucial role across various fields because it reduces computational workload and optimizes memory usage. However, the irregular structure of sparse data creates ...

Flexible Bayesian clustering framework with MCMC inference. Supports multiple nonparametric priors (DP, NGGP), distance-based models, and state-of-the-art samplers including Split-Merge algorithms.

After the mission, a Post-Processed Kinematic (PPK) software gives access to corrections and brings your project to the centimeter accuracy, enhances the overall ...

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.