public virtual void testInterpolateWithSensitivity()
{
foreach (PiecewisePolynomialInterpolator baseInterp in BASE_INTERP)
{
ClampedPiecewisePolynomialInterpolator interp = new ClampedPiecewisePolynomialInterpolator(baseInterp, X_CLAMPED, Y_CLAMPED);
PiecewisePolynomialResultsWithSensitivity computed = interp.interpolateWithSensitivity(X_VALUES, Y_VALUES);
PiecewisePolynomialResultsWithSensitivity expected = baseInterp.interpolateWithSensitivity(X_VALUES_TOTAL, Y_VALUES_TOTAL);
assertEquals(computed, expected);
}
}
public virtual void testInterpolate()
{
foreach (PiecewisePolynomialInterpolator baseInterp in BASE_INTERP)
{
ClampedPiecewisePolynomialInterpolator interp = new ClampedPiecewisePolynomialInterpolator(baseInterp, X_CLAMPED, Y_CLAMPED);
PiecewisePolynomialResult computed = interp.interpolate(X_VALUES, Y_VALUES);
PiecewisePolynomialResult expected = baseInterp.interpolate(X_VALUES_TOTAL, Y_VALUES_TOTAL);
assertEquals(computed, expected);
assertEquals(interp.PrimaryMethod, baseInterp);
}
}
public virtual void testFunctionalForm()
{
double[] xValues = new double[] { 0.5, 1.0, 3.0, 5.0, 10.0, 30.0 };
double lambda0 = 0.14;
double[] lambda = new double[] { 0.25, 0.05, -0.12, 0.03, -0.15, 0.0 };
double pValueTmp = 0d;
int nData = xValues.Length;
for (int i = 0; i < nData - 1; ++i)
{
lambda[nData - 1] += lambda[i] * xValues[i];
pValueTmp += lambda[i];
}
lambda[nData - 1] *= -1d / xValues[nData - 1];
pValueTmp += lambda[nData - 1];
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double pValue = pValueTmp;
double pValue = pValueTmp;
Function <double, double> func = new FunctionAnonymousInnerClass(this, xValues, lambda0, lambda, nData, pValue);
double[] rt = new double[nData];
for (int i = 0; i < nData; ++i)
{
rt[i] = func.apply(xValues[i]);
}
ClampedPiecewisePolynomialInterpolator interp = new ClampedPiecewisePolynomialInterpolator(BASE_INTERP[0], new double[] { 0d }, new double[] { 0d });
PiecewisePolynomialResult result = interp.interpolate(xValues, rt);
PiecewisePolynomialFunction1D polyFunc = new PiecewisePolynomialFunction1D();
for (int i = 0; i < 600; ++i)
{
double tm = 0.05 * i;
double exp = func.apply(tm);
assertEquals(exp, polyFunc.evaluate(result, tm).get(0), Math.Abs(exp) * TOL);
}
}
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = UnsupportedOperationException.class) public void testInterpolateMultiDim()
public virtual void testInterpolateMultiDim()
{
ClampedPiecewisePolynomialInterpolator interp = new ClampedPiecewisePolynomialInterpolator(new NaturalSplineInterpolator(), new double[] { 1d }, new double[] { 2d });
interp.interpolate(X_VALUES, new double[][] { Y_VALUES, Y_VALUES });
}
