public SlopeFinderResults(PiecewiseCubicHermiteSplineInterpolatorWithSensitivity outerInstance, DoubleArray d, DoubleMatrix dDy)
{
this.outerInstance = outerInstance;
// this is a private class - don't do the normal checks on inputs
_d = d;
_dDy = dDy;
}
//JAVA TO C# CONVERTER WARNING: 'final' parameters are not available in .NET:
//ORIGINAL LINE: @Override public PiecewisePolynomialResultsWithSensitivity interpolateWithSensitivity(final double[] xValues, final double[] yValues)
public override PiecewisePolynomialResultsWithSensitivity interpolateWithSensitivity(double[] xValues, double[] yValues)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final PiecewiseCubicHermiteSplineInterpolatorWithSensitivity interp = new PiecewiseCubicHermiteSplineInterpolatorWithSensitivity();
PiecewiseCubicHermiteSplineInterpolatorWithSensitivity interp = new PiecewiseCubicHermiteSplineInterpolatorWithSensitivity();
return(interp.interpolateWithSensitivity(xValues, yValues));
}
static ProductPiecewisePolynomialInterpolatorTest()
{
PiecewisePolynomialInterpolator cubic = new CubicSplineInterpolator();
PiecewisePolynomialInterpolator natural = new NaturalSplineInterpolator();
PiecewiseCubicHermiteSplineInterpolatorWithSensitivity pchip = new PiecewiseCubicHermiteSplineInterpolatorWithSensitivity();
PiecewisePolynomialInterpolator hymanNat = new MonotonicityPreservingCubicSplineInterpolator(natural);
INTERP = new PiecewisePolynomialInterpolator[] { cubic, natural, hymanNat };
INTERP_SENSE = new PiecewisePolynomialInterpolator[] { cubic, natural, pchip, hymanNat };
}
