Python version of the derivative-free optimization test set YATSOp
Least H^2 norm updating model [Link]
NEWUOA-Trans [Link]
NEWUOA-Trans-Matlab-Version-1.0 [Link]
NEWUOA-Trans-Matlab-Version-2.0 [Link]
NEWUOA-Trans-Matlab-Version-2.0 (MathWorks Link) [Link]
NEWUOA-Trans-Matlab-Version-3.0 [Link]
NEWUOA-Matlab-Version-1.0 [Link], NEWUOA-Matlab-Version-2.0 (MathWorks Link) [Link]
NEWUOA-py [Link]
BOBYQA-Matlab-Version-1.0 (MathWorks Link) [Link]
BOBYQA-Python-Version-1.0 [Link], BOBYQA-Python-Version-2.0 [Link]
SUSD-TR method (Python code) [Link]
Test-codes-for-SUSD-TR [Link]
Optimality Model Examples [Link]
Test code for a simple direct-search method [Link]
Test code for a trust-region method based on fully quadratic models [Link]
Combination of trust-region and direct search [Link]
Global derivative-free trust-region method with warm restarts (GDTRWR) [Link] (to be released)
Code for the paper “A New Derivative-Free Method Using an Improved Underdetermined Quadratic Interpolation Model” [Link]
2D-MoSub [Link]
2D-MoSub Python-Version [Link]
The codes above are copyrighted by Pengcheng Xie. If you use or modify them in a paper, please cite the corresponding papers or this website. Contact: pxie98@gmail.com