Struct LinearInterpolator 

pub struct LinearInterpolator { /* private fields */ }

Linear interpolation between data points.

The simplest form of interpolation, connecting consecutive points with straight lines.

Example

use convex_math::interpolation::{LinearInterpolator, Interpolator};

let xs = vec![0.0, 1.0, 2.0, 3.0];
let ys = vec![0.0, 1.0, 4.0, 9.0];

let interp = LinearInterpolator::new(xs, ys).unwrap();
let y = interp.interpolate(1.5).unwrap();
// y = 2.5 (linear interpolation between (1, 1) and (2, 4))

Implementations

impl LinearInterpolator

pub fn new(xs: Vec<f64>, ys: Vec<f64>) -> MathResult<Self>

Creates a new linear interpolator.

Arguments

• xs - X coordinates (must be sorted in ascending order)
• ys - Y coordinates

Errors

Returns an error if there are fewer than 2 points or if lengths differ.

pub fn with_extrapolation(self) -> Self

Enables extrapolation beyond the data range.

Trait Implementations

impl Clone for LinearInterpolator

fn clone(&self) -> LinearInterpolator

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LinearInterpolator

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Interpolator for LinearInterpolator

fn interpolate(&self, x: f64) -> MathResult<f64>

Returns the interpolated value at x.

fn derivative(&self, x: f64) -> MathResult<f64>

Returns the first derivative at x.

fn allows_extrapolation(&self) -> bool

Returns true if extrapolation is allowed.

fn min_x(&self) -> f64

Returns the minimum x value in the data.

fn max_x(&self) -> f64

Returns the maximum x value in the data.

fn in_range(&self, x: f64) -> bool

Checks if x is within the interpolation range.