kmath-functions/space.kscience.kmath.interpolation/PolynomialInterpolator

PolynomialInterpolator

interface PolynomialInterpolator<T : Comparable<T>> : Interpolator<T, T, T> (source)

And interpolator returning PiecewisePolynomial function

Inheritors

LinearInterpolator

SplineInterpolator

Functions

getDefaultValue

open fun getDefaultValue(): T

open override fun interpolate(points: XYColumnarData<T, T, T>): (T) -> T

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(data: List<Pair<T, T>>): (T) -> T?

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(data: Map<T, T>): (T) -> T?

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(data: List<Pair<T, T>>, defaultValue: T): (T) -> T

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(data: Map<T, T>, defaultValue: T): (T) -> T

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(x: Buffer<T>, y: Buffer<T>): (T) -> T?

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolate(x: Buffer<T>, y: Buffer<T>, defaultValue: T): (T) -> T

interpolatePolynomials

abstract fun interpolatePolynomials(points: XYColumnarData<T, T, T>): PiecewisePolynomial<T>

interpolatePolynomials

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(data: List<Pair<T, T>>): PiecewisePolynomial<T>

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(data: Map<T, T>): PiecewisePolynomial<T>

fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(x: Buffer<T>, y: Buffer<T>): PiecewisePolynomial<T>

Properties

abstract val algebra: Ring<T>