Historically, cosmological models rely on "free parameters"—arbitrary, human-tuned variables inserted into the math to force the formulas to match reality. Kulkarni's updated simulation completely ...

Discover how discrete event simulation can optimize health care facility design by improving patient flow, resource use, and operational performance through data-driven, evidence-based design ...

When you're setting out to get a new gaming PC or laptop, you've probably noticed there are quite a few models out there without an Nvidia or AMD graphics chip. These devices usually come with an ...

SimCraft is designed for academic research, industrial applications, and integration with optimization algorithms including reinforcement learning. It provides a clean, extensible API for building ...

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...

Speed and efficiency are crucial in computer graphics and simulation. It can be challenging to create high-performance simulations that can run smoothly on various hardware setups. Traditional methods ...

Abstract: Community disaster resilience is commonly conceptualized as the capacity to reduce post-event loss and facilitate effective recovery. Technologies, such as data systems, computer models, and ...

Abstract: SimPy is a Python-based, interpreted simulation tool that offers the power and convenience of Python. It is able to launch processes and sub-processes using generators, which act ...