struct OptimizeResult
Source: optimize.joule:12
struct OptimizeOptions
Source: optimize.joule:33
fn default() -> Self
Source: optimize.joule:47
struct RootResult
Source: optimize.joule:64
fn bisect<F>(f: F, a: f64, b: f64, tol: f64, maxiter: usize) -> RootResult
Source: optimize.joule:79
fn newton<F, DF>(f: F, df: DF, x0: f64, tol: f64, maxiter: usize) -> RootResult
Source: optimize.joule:126
fn secant<F>(f: F, x0: f64, x1: f64, tol: f64, maxiter: usize) -> RootResult
Source: optimize.joule:179
fn brentq<F>(f: F, a: f64, b: f64, tol: f64, maxiter: usize) -> RootResult
Source: optimize.joule:235
fn find_all_roots<F>(f: F, a: f64, b: f64, num_intervals: usize, tol: f64) -> Vec<f64>
Source: optimize.joule:325
fn newton_multidim<F, J>(
Source: optimize.joule:352
fn golden_section<F>(f: F, a: f64, b: f64, tol: f64) -> (f64, f64)
Source: optimize.joule:395
fn brent_minimize<F>(f: F, a: f64, b: f64, tol: f64, maxiter: usize) -> (f64, f64)
Source: optimize.joule:431
fn gradient_descent<F, G>(
Source: optimize.joule:535
fn bfgs<F, G>(
Source: optimize.joule:612
fn lbfgs<F, G>(
Source: optimize.joule:712
fn line_search_wolfe<F, G>(
Line search satisfying Wolfe conditions
Source: optimize.joule:829
fn nelder_mead<F>(
Source: optimize.joule:883
fn powell<F>(
Source: optimize.joule:1019
fn conjugate_gradient<F, G>(
Source: optimize.joule:1113
fn simulated_annealing<F>(
Source: optimize.joule:1199
struct SimulatedAnnealingOptions
Source: optimize.joule:1274
fn default() -> Self
Source: optimize.joule:1282
fn differential_evolution<F>(
Source: optimize.joule:1294
struct DifferentialEvolutionOptions
Source: optimize.joule:1416
fn default() -> Self
Source: optimize.joule:1425
struct LeastSquaresResult
Source: optimize.joule:1442
fn least_squares<F, J>(
Source: optimize.joule:1459
fn lstsq(a: &[Vec<f64>], b: &[f64]) -> Vec<f64>
Source: optimize.joule:1565
struct Bounds
Bound constraints
Source: optimize.joule:1596
fn new(lower: Vec<f64>, upper: Vec<f64>) -> Self
Source: optimize.joule:1602
fn lbfgsb<F, G>(
Source: optimize.joule:1609
fn solve_linear(a: &[Vec<f64>], b: &[f64]) -> Option<Vec<f64>>
Solve linear system Ax = b using Gaussian elimination with partial pivoting
Source: optimize.joule:1751
fn approx_gradient<F>(f: &F, x: &[f64], eps: f64) -> Vec<f64>
Source: optimize.joule:1797
fn approx_jacobian<F>(f: &F, x: &[f64], eps: f64) -> Vec<Vec<f64>>
Source: optimize.joule:1818
fn check_gradient<F, G>(f: &F, grad: &G, x: &[f64], eps: f64) -> Vec<f64>
Source: optimize.joule:1843
fn test_bisect()
Source: optimize.joule:1866
fn test_newton()
Source: optimize.joule:1873
fn test_golden_section()
Source: optimize.joule:1886
fn test_nelder_mead()
Source: optimize.joule:1893
fn test_bfgs()
Source: optimize.joule:1907