nlm0: Minimizing Univariate Functions on Finite Intervals
In gss: General Smoothing Splines
nlm0 R Documentation
Minimizing Univariate Functions on Finite Intervals
Description
Minimize univariate functions on finite intervals using 3-point
quadratic fit, with golden-section safe-guard.
Usage
nlm0(fun, range, prec=1e-7)
Arguments
fun
Function to be minimized.
range
Interval on which the function to be minimized.
prec
Desired precision of the solution.
Value
nlm0 returns a list object with the following elements.
estimate
Minimizer.
minimum
Minimum.
evaluations
Number of function evaluations.
gss documentation built on Aug. 16, 2023, 9:07 a.m.
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| nlm0 | R Documentation |
Minimizing Univariate Functions on Finite Intervals
Description
Minimize univariate functions on finite intervals using 3-point quadratic fit, with golden-section safe-guard.
Usage
nlm0(fun, range, prec=1e-7)
Arguments
fun |
Function to be minimized. |
range |
Interval on which the function to be minimized. |
prec |
Desired precision of the solution. |
Value
nlm0 returns a list object with the following elements.
estimate |
Minimizer. |
minimum |
Minimum. |
evaluations |
Number of function evaluations. |
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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