"golden"
and Generator for Golden Search Optimizer Classgolden-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.
golden(...)
(partly optional) arguments passed to
new()
must be named arguments. lower
and
upper
are the bounds for the scalar parameter; they must be
finite.
All reference classes extend and inherit methods from
"envRefClass"
.
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: 0x55a2f587e200>
#> Field "lowerbd":
#> [1] -100
#> Field "upperbd":
#> [1] 1e+100