interpolate - Module

`enum InterpolationMethod`

Source: interpolate.joule:12

`enum ExtrapolationMode`

Source: interpolate.joule:33

`struct Interp1d`

1D interpolator

Source: interpolate.joule:47

`struct SplineCoeffs`

Cubic spline coefficients

Source: interpolate.joule:57

`fn new(x: &[f64], y: &[f64], method: InterpolationMethod) -> Self`

Source: interpolate.joule:67

`fn extrapolate(mut self, mode: ExtrapolationMode) -> Self`

Set extrapolation mode

Source: interpolate.joule:96

`fn eval(&self, xi: f64) -> f64`

Source: interpolate.joule:103

`fn eval_array(&self, xi: &[f64]) -> Vec<f64>`

Source: interpolate.joule:128

`fn derivative(&self, xi: f64, order: usize) -> f64`

Source: interpolate.joule:134

`fn integral(&self, a: f64, b: f64) -> f64`

Source: interpolate.joule:170

`fn find_interval(&self, xi: f64) -> usize`

Source: interpolate.joule:218

`fn linear_interp(&self, i: usize, xi: f64) -> f64`

Source: interpolate.joule:226

`fn nearest_interp(&self, i: usize, xi: f64) -> f64`

Source: interpolate.joule:231

`fn spline_interp(&self, i: usize, xi: f64) -> f64`

Source: interpolate.joule:239

`fn lagrange_interp(&self, xi: f64) -> f64`

Source: interpolate.joule:248

`fn extrapolate_value(&self, xi: f64) -> f64`

Source: interpolate.joule:265

`fn compute_natural_spline(x: &[f64], y: &[f64]) -> SplineCoeffs`

Compute natural cubic spline coefficients

Source: interpolate.joule:310

`fn compute_not_a_knot_spline(x: &[f64], y: &[f64]) -> SplineCoeffs`

Compute not-a-knot cubic spline

Source: interpolate.joule:358

`fn compute_akima_spline(x: &[f64], y: &[f64]) -> SplineCoeffs`

Compute Akima spline (less oscillation)

Source: interpolate.joule:365

`fn compute_pchip(x: &[f64], y: &[f64]) -> SplineCoeffs`

Compute PCHIP (monotone preserving)

Source: interpolate.joule:416

`fn pchip_end_derivative(h1: f64, h2: f64, del1: f64, del2: f64) -> f64`

Source: interpolate.joule:461

`enum Interp2dMethod`

Source: interpolate.joule:479

`struct Interp2d`

Regular grid 2D interpolator

Source: interpolate.joule:489

`fn new(x: &[f64], y: &[f64], z: &[Vec<f64>], method: Interp2dMethod) -> Self`

Source: interpolate.joule:499

`fn eval(&self, xi: f64, yi: f64) -> f64`

Source: interpolate.joule:515

`fn eval_array(&self, xi: &[f64], yi: &[f64]) -> Vec<f64>`

Source: interpolate.joule:525

`fn find_interval(arr: &[f64], val: f64) -> usize`

Source: interpolate.joule:529

`fn bilinear(&self, xi: f64, yi: f64) -> f64`

Source: interpolate.joule:536

`fn nearest(&self, xi: f64, yi: f64) -> f64`

Source: interpolate.joule:562

`fn bicubic(&self, xi: f64, yi: f64) -> f64`

Source: interpolate.joule:572

`fn cubic_interp(t: f64, p0: f64, p1: f64, p2: f64, p3: f64) -> f64`

Cubic interpolation helper

Source: interpolate.joule:604

`struct Interp2dScattered`

Scattered data interpolation

Source: interpolate.joule:614

`enum ScatteredMethod`

Source: interpolate.joule:622

`enum RbfKernel`

Source: interpolate.joule:633

`fn new(points: &[(f64, f64)], values: &[f64], method: ScatteredMethod) -> Self`

Source: interpolate.joule:649

`fn eval(&self, x: f64, y: f64) -> f64`

Source: interpolate.joule:661

`fn idw_interp(&self, x: f64, y: f64, power: f64) -> f64`

Source: interpolate.joule:669

`fn rbf_interp(&self, x: f64, y: f64, kernel: RbfKernel) -> f64`

Source: interpolate.joule:688

`fn linear_interp(&self, x: f64, y: f64) -> f64`

Source: interpolate.joule:708

`fn eval(&self, r: f64) -> f64`

Source: interpolate.joule:727

`struct BSpline`

B-spline curve

Source: interpolate.joule:749

`fn new(control_points: &[f64], degree: usize) -> Self`

Source: interpolate.joule:761

`fn with_knots(control_points: &[f64], knots: &[f64], degree: usize) -> Self`

Create B-spline with custom knot vector

Source: interpolate.joule:789

`fn eval(&self, t: f64) -> f64`

Source: interpolate.joule:801

`fn basis(&self, i: usize, k: usize, t: f64) -> f64`

B-spline basis function (Cox-de Boor recursion)

Source: interpolate.joule:814

`fn derivative(&self, t: f64) -> f64`

Source: interpolate.joule:842

`fn basis_deriv(&self, i: usize, k: usize, t: f64) -> f64`

Source: interpolate.joule:871

`struct BSpline2d`

2D B-spline curve (parametric)

Source: interpolate.joule:898

`fn new(control_x: &[f64], control_y: &[f64], degree: usize) -> Self`

Source: interpolate.joule:906

`fn eval(&self, t: f64) -> (f64, f64)`

Source: interpolate.joule:917

`fn sample(&self, num_points: usize) -> Vec<(f64, f64)>`

Source: interpolate.joule:923

`struct Polynomial`

Source: interpolate.joule:939

`fn new(coeffs: &[f64]) -> Self`

Create polynomial from coefficients

Source: interpolate.joule:945

`fn fit(x: &[f64], y: &[f64], degree: usize) -> Self`

Source: interpolate.joule:953

`fn eval(&self, x: f64) -> f64`

Source: interpolate.joule:988

`fn eval_array(&self, x: &[f64]) -> Vec<f64>`

Source: interpolate.joule:999

`fn derivative(&self) -> Polynomial`

Get derivative polynomial

Source: interpolate.joule:1004

`fn antiderivative(&self) -> Polynomial`

Get antiderivative polynomial (constant = 0)

Source: interpolate.joule:1019

`fn roots(&self) -> Vec<f64>`

Source: interpolate.joule:1029

`fn newton_root(&self, x0: f64, deriv: &Polynomial) -> Option<f64>`

Source: interpolate.joule:1078

`fn solve_system(a: &[Vec<f64>], b: &[f64]) -> Option<Vec<f64>>`

Source: interpolate.joule:1105

`fn interp(x: &[f64], y: &[f64], xi: f64) -> f64`

Source: interpolate.joule:1157

`fn interp_array(x: &[f64], y: &[f64], xi: &[f64]) -> Vec<f64>`

Source: interpolate.joule:1163

`fn spline(x: &[f64], y: &[f64], xi: &[f64]) -> Vec<f64>`

Source: interpolate.joule:1170

`fn polyinterp(x: &[f64], y: &[f64], xi: f64) -> f64`

Source: interpolate.joule:1177

`fn polyfit(x: &[f64], y: &[f64], degree: usize) -> Vec<f64>`

Source: interpolate.joule:1183

`fn polyval(coeffs: &[f64], x: f64) -> f64`

Source: interpolate.joule:1189

`fn test_linear_interp()`

Source: interpolate.joule:1202

`fn test_cubic_spline()`

Source: interpolate.joule:1213

`fn test_polynomial_fit()`

Source: interpolate.joule:1226

`fn test_bspline()`

Source: interpolate.joule:1239