README.md
In r-glennie/fmin: Minimize a multivariate function
fmin
Minimizes a multivariate function using a Quasi-Newton
algorithm where the inverse Hessian is updated by BFGS and step size is selected
using a bracketing & quadratic interpolation method. See Nocedal & Wright (2006).
You can install the package with the command:
remotes::install_github("r-glennie/fmin")
Vignette for the package is here: https://r-glennie.github.io/fmin/
r-glennie/fmin documentation built on Dec. 22, 2021, 11:53 a.m.
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fmin
Minimizes a multivariate function using a Quasi-Newton algorithm where the inverse Hessian is updated by BFGS and step size is selected using a bracketing & quadratic interpolation method. See Nocedal & Wright (2006).
You can install the package with the command:
remotes::install_github("r-glennie/fmin")
Vignette for the package is here: https://r-glennie.github.io/fmin/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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