A development environment for robust and global optimization
Line search methods for optimization and root-finding
Bayesian optimization is a method of finding the maximum of expensive cost functions. Bayesian optimization employs the Bayesian technique of setting a prior over the objective function and combining it with evidence to get a posterior function. This permits a utility-based selection of the next observation to make on the objective function, wh…
Julia implementations of various animal-inspired optimizers
loss optimization under unitary constraint
Focus on trajectory optimization in Julia. Additional resources in learning Julia from the basics.
JUlia augMENted ε-consTraint Optimisation (Jumento) - A package with AUGMECON and AUGMECON 2
Add a description, image, and links to the optimization-methods topic page so that developers can more easily learn about it.
To associate your repository with the optimization-methods topic, visit your repo's landing page and select "manage topics."