Skip to content
#

penalty-methods

Here are 4 public repositories matching this topic...

Language: All
Filter by language

Simulation code for "Achievable Rate Maximization for Underlay Spectrum Sharing MIMO System with Intelligent Reflecting Surface," by V. Kumar, M. F. Flanagan, R. Zhang, and L. -N. Tran, IEEE Wireless Communications Letters, 2022, doi: 10.1109/LWC.2022.3180988.

  • Updated Nov 1, 2023
  • Python

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 project involves the implementation of classical optimization methods such as gradient descent and penalty methods, evolutionary algorithms such as genetic algorithm, particle swarm optimization, and ant colony optimization in the solution of optimization problems.

  • Updated Oct 24, 2020
  • MATLAB

Improve this page

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

Learn more