Class "golden"
and Generator for Golden Search Optimizer Class
golden-class.Rd
"golden"
is a reference class for a golden search scalar optimizer,
for a parameter within an interval.
golden()
is the generator for the "golden"
class. The optimizer uses reverse communications.
Arguments
- ...
(partly optional) arguments passed to
new()
must be named arguments.lower
andupper
are the bounds for the scalar parameter; they must be finite.
Extends
All reference classes extend and inherit methods from
"envRefClass"
.
Examples
showClass("golden")
#> Class "golden" [package "lme4"]
#>
#> Slots:
#>
#> Name: .xData
#> Class: environment
#>
#> Extends:
#> Class "envRefClass", directly
#> Class ".environment", by class "envRefClass", distance 2
#> Class "refClass", by class "envRefClass", distance 2
#> Class "environment", by class "envRefClass", distance 3, with explicit coerce
#> Class "refObject", by class "envRefClass", distance 3
golden(lower= -100, upper= 1e100)
#> Reference class object of class "golden"
#> Field "Ptr":
#> <pointer: 0x561f74488960>
#> Field "lowerbd":
#> [1] -100
#> Field "upperbd":
#> [1] 1e+100