Skip to content
#

high-dimensional-optimization

Star

Here is 1 public repository matching this topic...

misa-hdez / sgo-lab

Star 0

A theoretical framework for Scalable Geometric Optimization. It reformulates black-box optimization by separating domain and codomain, replacing objective function modeling with relative geometric reference systems. By using a base unit of distance, it navigates high-dimensional spaces via spatial relationships between sampled points

python research optimization black-box-optimization mathematical-optimization derivative-free-optimization high-dimensional-optimization theoretical-framework geometric-optimization
  • Updated Apr 3, 2026

Improve this page

Add a description, image, and links to the high-dimensional-optimization topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the high-dimensional-optimization topic, visit your repo's landing page and select "manage topics."

Learn more