A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: Faced with massive data, subsampling is a commonly used technique to improve computational efficiency, and using nonuniform subsampling probabilities is an effective approach to improve ...

Abstract: We present a rapidly exploring-random-tree-based parallel motion planning algorithm that uses the maximal Poisson-disk sampling scheme. Our approach exploits the free-disk property of the ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

It's not feasible to contact every member of the population, so only a sample, or a subset, of that population is included when conducting statistical research. The assumption is that the sample is ...

A beloved French cartoon fish is now the internet's latest viral hit, amassing tens of millions of views online. The orange fish, affectionately known as "Le Poisson Steve," has spawned a series of ...

How Steve, a French cartoon with a catchy theme song, became a TikTok star. By Madison Malone Kircher If you have not yet heard the French song about an orange fish named Steve that is currently ...

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for training machine learning models like neural networks while ensuring privacy. It modifies the standard gradient descent ...