gold.sect: Golden Section Search Optimization
In JackStat/CompPack: Collection of Computational Statistic Tools
Description
Usage
Arguments
Value
Author(s)
Examples
Description
A method used for locating the optimum value of a
function. The technique utilizes the golden ratio to
successively narrow the range of values for which the
optimum is found.
Usage
1
gold.sect(f, lo, hi, tol = 1e-07)
Arguments
f
The function to be optimized
lo
Lower estimate
hi
Upper estimate
tol
Level of tolerance desired for optimization
Value
a estimated optimal value of the function
f(a) function value at the optimal value
Author(s)
Tyler Hunt tyler@psychoanalytix.com
Examples
1
JackStat/CompPack documentation built on May 7, 2019, 10:16 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
A method used for locating the optimum value of a function. The technique utilizes the golden ratio to successively narrow the range of values for which the optimum is found.
Usage
1 | gold.sect(f, lo, hi, tol = 1e-07)
|
Arguments
f |
The function to be optimized |
lo |
Lower estimate |
hi |
Upper estimate |
tol |
Level of tolerance desired for optimization |
Value
a estimated optimal value of the function
f(a) function value at the optimal value
Author(s)
Tyler Hunt tyler@psychoanalytix.com
Examples
1 |
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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