Module optimization 

Optimization utilities for numerical optimization algorithms

This module provides utilities for optimization algorithms including:

• Line search methods (Armijo, Wolfe conditions)
• Convergence criteria checking
• Gradient computation helpers
• Constraint handling utilities

Examples

use sklears_utils::optimization::{LineSearch, ConvergenceCriteria, GradientComputer};
use scirs2_core::ndarray::Array1;

let line_search = LineSearch::armijo(1e-4);
let conv_criteria = ConvergenceCriteria::new()
    .with_tolerance(1e-6)
    .with_max_iterations(1000);

Structs

ConstraintHandler

Constraint handling utilities for constrained optimization

ConstraintViolation

ConvergenceCriteria

Convergence criteria for optimization algorithms

GradientComputer

Gradient computation utilities

LineSearch

Line search methods for optimization algorithms

OptimizationHistory

History tracking for optimization algorithms

Enums

ConvergenceStatus

Status of convergence checking

GradientMethod

LineSearchMethod

Type Aliases

ConstraintFunction

Type alias for constraint function