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//! Result structure for unconstrained optimization
use scirs2_core::ndarray::{Array1, Array2};
/// Result structure for optimization algorithms
#[derive(Debug, Clone)]
pub struct OptimizeResult<T> {
/// Solution vector
pub x: Array1<f64>,
/// Objective function value at solution
pub fun: T,
/// Number of iterations performed
pub nit: usize,
/// Number of function evaluations
pub func_evals: usize,
/// Number of function evaluations (alternative name)
pub nfev: usize,
/// Whether optimization was successful
pub success: bool,
/// Status message
pub message: String,
/// Gradient at solution (optional)
pub jacobian: Option<Array1<f64>>,
/// Hessian at solution (optional)
pub hessian: Option<Array2<f64>>,
}
impl<T: Default> Default for OptimizeResult<T> {
fn default() -> Self {
Self {
x: Array1::zeros(0),
fun: T::default(),
nit: 0,
func_evals: 0,
nfev: 0,
success: false,
message: String::new(),
jacobian: None,
hessian: None,
}
}
}