Function optimize 

pub fn optimize<F>(
    objective: F,
    bounds: &[(f64, f64)],
    n_iter: usize,
    config: Option<BayesianOptimizerConfig>,
) -> OptimizeResult<BayesianOptResult>
where
    F: Fn(&ArrayView1<'_, f64>) -> f64,

Run Bayesian optimization on a function.

This is a high-level convenience function that creates a BayesianOptimizer, runs the optimization, and returns the result.

Arguments

• objective - Function to minimize: f(x) -> f64
• bounds - Search bounds: [(lo, hi), ...]
• n_iter - Number of sequential iterations (after initial design)
• config - Optional optimizer configuration

Example

use scirs2_optimize::bayesian::optimize;
use scirs2_core::ndarray::ArrayView1;

let result = optimize(
    |x: &ArrayView1<f64>| x[0].powi(2) + x[1].powi(2),
    &[(-5.0, 5.0), (-5.0, 5.0)],
    20,
    None,
).expect("optimization failed");

assert!(result.f_best < 1.0);