Abstract: Classical gradient-based density topology optimization is adapted for method-of-moments numerical modeling to design a conductor-based system attaining the minimal antenna Q-factor evaluated ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Thermal energy storage systems rely on molten salt, but uneven flow and overheating often harm efficiency. A new study in Engineering introduces a ...

Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt ...

Abstract: Recently, gradient-based repair methods have been commonly introduced into constraint-handling techniques to handle linear and non-linear constraints. These gradient-based repair methods are ...

This repo includes an implementation of the penalty-based bilevel gradient descent (PBGD) algorithm presented in the paper On Penalty-based Bilevel Gradient Descent Method, along with several other ...

Titanium (Ti) and its alloys are attracting special attention in the field of dentistry and orthopedic bioengineering because of their mechanical adaptability and biological compatibility with the ...