//
// Math.NET Numerics, part of the Math.NET Project
// http://mathnet.opensourcedotnet.info
//
// Copyright (c) 2009 Math.NET
//
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// obtaining a copy of this software and associated documentation
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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namespace MathNet.Numerics.Interpolation.Algorithms
{
using System;
using System.Collections.Generic;
///
/// Linear Spline Interpolation Algorithm.
///
///
/// This algorithm supports both differentiation and integration.
///
public class LinearSplineInterpolation : IInterpolation
{
///
/// Internal Spline Interpolation
///
private readonly SplineInterpolation spline;
///
/// Initializes a new instance of the LinearSplineInterpolation class.
///
public LinearSplineInterpolation()
{
this.spline = new SplineInterpolation();
}
///
/// Initializes a new instance of the LinearSplineInterpolation class.
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
public LinearSplineInterpolation(
IList samplePoints,
IList sampleValues)
{
this.spline = new SplineInterpolation();
this.Initialize(samplePoints, sampleValues);
}
///
/// Gets a value indicating whether the algorithm supports differentiation (interpolated derivative).
///
///
///
bool IInterpolation.SupportsDifferentiation
{
get { return true; }
}
///
/// Gets a value indicating whether the algorithm supports integration (interpolated quadrature).
///
///
bool IInterpolation.SupportsIntegration
{
get { return true; }
}
///
/// Initialize the interpolation method with the given spline coefficients (sorted by the sample points t).
///
/// Sample Points t, sorted ascending.
/// Sample Values x(t)
public void Initialize(
IList samplePoints,
IList sampleValues)
{
if (null == samplePoints)
{
throw new ArgumentNullException("samplePoints");
}
if (null == sampleValues)
{
throw new ArgumentNullException("sampleValues");
}
if (samplePoints.Count < 2)
{
throw new ArgumentOutOfRangeException("samplePoints");
}
if (samplePoints.Count != sampleValues.Count)
{
throw new ArgumentException(Properties.Resources.ArgumentVectorsSameLengths);
}
double[] coefficients = new double[4 * (samplePoints.Count - 1)];
for (int i = 0, j = 0; i < samplePoints.Count - 1; i++, j += 4)
{
coefficients[j] = sampleValues[i];
coefficients[j + 1] = (sampleValues[i + 1] - sampleValues[i]) / (samplePoints[i + 1] - samplePoints[i]);
coefficients[j + 2] = 0;
coefficients[j + 3] = 0;
}
this.spline.Initialize(samplePoints, coefficients);
}
///
/// Interpolate at point t.
///
/// Point t to interpolate at.
/// Interpolated value x(t).
public double Interpolate(double t)
{
return this.spline.Interpolate(t);
}
///
/// Differentiate at point t.
///
/// Point t to interpolate at.
/// Interpolated first derivative at point t.
///
///
public double Differentiate(double t)
{
return this.spline.Differentiate(t);
}
///
/// Differentiate at point t.
///
/// Point t to interpolate at.
/// Interpolated value x(t)
/// Interpolated second derivative at point t.
/// Interpolated first derivative at point t.
///
///
public double Differentiate(
double t,
out double interpolatedValue,
out double secondDerivative)
{
return this.spline.Differentiate(t, out interpolatedValue, out secondDerivative);
}
///
/// Integrate up to point t.
///
/// Right bound of the integration interval [a,t].
/// Interpolated definite integral over the interval [a,t].
///
public double Integrate(double t)
{
return this.spline.Integrate(t);
}
}
}