Derivative-Free Optimization

Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.


Reference manual

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install.packages("dfoptim")

2023.1.0 by Ravi Varadhan, 3 years ago


Browse source code at https://github.com/cran/dfoptim


Authors: Ravi Varadhan[aut, cre] , Johns Hopkins University , Hans W. Borchers[aut] , ABB Corporate Research , and Vincent Bechard[aut] , HEC Montreal (Montreal University)


Documentation:   PDF Manual  


GPL (>= 2) license



Imported by CSTE, ConsReg, DynTxRegime, PhotoGEA, Rdistance, atRisk, calibrar, cops, dRiftDM, gek, matrisk, npcs, reReg, sklarsomega, stops, twoPhaseGAS.

Depended on by mvord.

Suggested by BioCro, ROI.plugin.optimx, SensIAT, afex, cxr, flexFitR, lme4, metadat, metafor, optimx, qra.

Enhanced by Rmpfr.


See at CRAN