apply_optimizer: Apply 'optimizer' object

In optimizeR: Unified Framework for Numerical Optimizers

Apply optimizer object

Description

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 single numeric. Its first argument must be a numeric vector of the same length as initial, 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 of objective.

parameter

A numeric vector, the parameter vector where the optimum of objective 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)

optimizeR documentation built on April 4, 2025, 1:56 a.m.