This function performs numerical optimization using an optimizer
object.
Usage
apply_optimizer(optimizer = optimizer_nlm(), objective, initial, ...)
Arguments
- optimizer
An object of class
optimizer
.- objective
A
function
to be optimized, returning a singlenumeric
. Its first argument must be anumeric
vector of the same length asinitial
, followed by any other arguments specified by the...
argument.- initial
A
numeric
vector with starting parameter values for the optimization.- ...
Additional arguments to be passed to
optimizer
.
Value
A named list
, containing at least these four elements:
value
A
numeric
, the value of the estimated optimum ofobjective
.parameter
A
numeric
vector, the parameter vector where the optimum ofobjective
is obtained.seconds
A
numeric
, the total optimization time in seconds.initial
A
numeric
, the initial parameter values.
Appended are additional output elements of the optimizer (if not excluded by
the output_ignore
element via define_optimizer
).
See also
define_optimizer()
for creating an optimizer
object.
Examples
apply_optimizer(optimizer_nlm(), function(x) x^4 + 3*x - 5, 2)
#> $value
#> [1] -7.044261
#>
#> $parameter
#> [1] -0.9085614
#>
#> $seconds
#> [1] 0.001219273
#>
#> $initial
#> [1] 2
#>
#> $error
#> [1] FALSE
#>
#> $gradient
#> [1] -6.068035e-06
#>
#> $code
#> [1] 1
#>
#> $iterations
#> [1] 7
#>