gradient_optimize: Gradient-Based Optimization Engine

In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

Gradient-Based Optimization Engine

Description

Internal implementation of gradient-based optimization for differentiable continuous objective functions.

Usage

gradient_optimize(
  fn,
  gr,
  lower,
  upper,
  initial = NULL,
  optimizer,
  verbose = TRUE,
  ...
)

Arguments

fn	Objective function.
gr	Gradient function.
lower	Numeric vector of lower bounds.
upper	Numeric vector of upper bounds.
initial	Optional numeric vector of initial values.
optimizer	A gradient-based optimizer object.
verbose	Logical. If TRUE, progress information is printed.
...	Additional arguments passed to fn and gr.

Value

An object of class "met_optimize_result".

metANN documentation built on May 16, 2026, 1:06 a.m.