Delfour, M.C. (2022) Topological Derivative of State-Constrained Objective Functions A Direct Method. SIAM Journal on Control and Optimization, 60, 22-47.

Sigmoid function and ReLU are commonly used activation functions in neural networks (NN). However, sigmoid function is vulnerable to the vanishing gradient problem, while ReLU has a special vanishing ...

A malicious Python Package Index (PyPI) package named "set-utils" has been stealing Ethereum private keys through intercepted wallet creation functions and exfiltrating them via the Polygon ...

Potential solution: a built‐in “bulk” or “batched” derivative function that merges the loops internally and preserves the AD graph for compilation. Question: Is there a function or planned feature in ...

Based on dispersing the stacking structure of asphaltenes and inhibiting the reaggregation of asphaltenes, functional chitosan oligosaccharide (COS) derivatives were prepared using COS in this study.

This paper focuses on creating a desktop-based solution that integrates Python with Excel using an on-premises desktop application. This allows users to leverage Python for custom functionalities ...

In this letter, we propose a bio-inspired derivative-free optimization algorithm capable of minimizing objective functions with vanishing or exploding gradients. The proposed method searches for ...