forked from kscience/kmath
Add different ways to provide data for XY interpolator
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@ -3,6 +3,8 @@ package scientifik.kmath.interpolation
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import scientifik.kmath.functions.PiecewisePolynomial
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import scientifik.kmath.functions.value
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import scientifik.kmath.operations.Ring
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import scientifik.kmath.structures.Buffer
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import scientifik.kmath.structures.asBuffer
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interface Interpolator<X, Y> {
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fun interpolate(points: XYPointSet<X, Y>): (X) -> Y
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@ -18,4 +20,26 @@ interface PolynomialInterpolator<T : Comparable<T>> : Interpolator<T, T> {
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override fun interpolate(points: XYPointSet<T, T>): (T) -> T = { x ->
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interpolatePolynomials(points).value(algebra, x) ?: getDefaultValue()
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}
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}
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fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(
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x: Buffer<T>,
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y: Buffer<T>
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): PiecewisePolynomial<T> {
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val pointSet = BufferXYPointSet(x, y)
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return interpolatePolynomials(pointSet)
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}
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fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(
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data: Map<T, T>
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): PiecewisePolynomial<T> {
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val pointSet = BufferXYPointSet(data.keys.toList().asBuffer(), data.values.toList().asBuffer())
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return interpolatePolynomials(pointSet)
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}
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fun <T : Comparable<T>> PolynomialInterpolator<T>.interpolatePolynomials(
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data: List<Pair<T, T>>
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): PiecewisePolynomial<T> {
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val pointSet = BufferXYPointSet(data.map { it.first }.asBuffer(), data.map { it.second }.asBuffer())
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return interpolatePolynomials(pointSet)
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}
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@ -1,4 +1,4 @@
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//package scientifik.kmath.interpolation
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package scientifik.kmath.interpolation
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//
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//import scientifik.kmath.functions.PiecewisePolynomial
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//import scientifik.kmath.operations.Ring
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