Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Cuba is already on the brink. Maduro’s ouster brings it closer to collapse. California ...

Learn how to visualize a magnetic field model using Python! 🧲💻 In this tutorial, we’ll walk through creating a 2D vector field to represent the magnetic forces around a dipole. Perfect for physics ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

sde-sim-rs is a high-performance library for simulating stochastic differential equations (SDEs), which are foundational in fields like quantitative finance, physics, and biology. By leveraging the ...

ABSTRACT: This paper deal with the application of stochastic optimal control technique in production and inventory model for a fixed or constant demand rate where the stochastic differential equations ...

Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...

ABSTRACT: The origin of complex biological symmetric structures has long been a subject of interest and debate. How new sophisticated structures arise, perfectly meshed together, and added to ...

Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary ...