Skip to content
#

golden-ratio

Here are 23 public repositories matching this topic...

keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation

  • Updated Jan 21, 2024
  • Python

The purpose of optimization is to achieve the “best” design relative to a set of prioritized criteria or constraints. These include maximizing factors such as productivity, strength, reliability, longevity, efficiency, and utilization. This decision-making process is known as optimization. This repository discusses some of the matchematical tech…

  • Updated Jul 14, 2021
  • Python

Improve this page

Add a description, image, and links to the golden-ratio 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 golden-ratio topic, visit your repo's landing page and select "manage topics."

Learn more