///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void notReconnectedTest()
public virtual void notReconnectedTest()
{
double[] xValues = new double[] { 1.0, 2.0000000001, 2.0, 4.0 };
double[] yValues = new double[] { 2.0, 400.0, 3.0, 500000000.0 };
PiecewisePolynomialInterpolator interpPos = new SemiLocalCubicSplineInterpolator();
interpPos.interpolate(xValues, yValues);
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void nanYdataTest()
public virtual void nanYdataTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
double[] yValues = new double[] { 0.1, 0.05, 0.2, Double.NaN };
PiecewisePolynomialInterpolator interpPos = new SemiLocalCubicSplineInterpolator();
interpPos.interpolate(xValues, yValues);
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void infYdataMultiTest()
public virtual void infYdataMultiTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
double[][] yValues = new double[][]
{
new double[] { 0.1, 0.05, 0.2, 1.0 },
new double[] { 0.1, 0.05, 0.2, INF }
};
PiecewisePolynomialInterpolator interpPos = new SemiLocalCubicSplineInterpolator();
interpPos.interpolate(xValues, yValues);
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void coincideDataTest()
public virtual void coincideDataTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {1.0, 1.0, 3.0 };
double[] xValues = new double[] { 1.0, 1.0, 3.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yValues = new double[] {0.0, 0.1, 0.05 };
double[] yValues = new double[] { 0.0, 0.1, 0.05 };
PiecewisePolynomialInterpolator interpPos = new SemiLocalCubicSplineInterpolator();
interpPos.interpolate(xValues, yValues);
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void dataShortMultiTest()
public virtual void dataShortMultiTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {1.0, 2.0};
double[] xValues = new double[] { 1.0, 2.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] yValues = new double[][] { {0.0, 0.1}, {0.0, 0.1} };
double[][] yValues = new double[][]
{
new double[] { 0.0, 0.1 },
new double[] { 0.0, 0.1 }
};
PiecewisePolynomialInterpolator interpPos = new SemiLocalCubicSplineInterpolator();
interpPos.interpolate(xValues, yValues);
}
/// <summary>
/// Recovering quadratic function
/// </summary>
public virtual void quadraticTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int nData = xValues.length;
int nData = xValues.Length;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yValues = new double[nData];
double[] yValues = new double[nData];
for (int i = 0; i < nData; ++i)
{
yValues[i] = xValues[i] * xValues[i] / 7.0 + xValues[i] / 13.0 + 1 / 11.0;
}
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] coefsMatExp = new double[][] { {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[0] + 1.0 / 13.0, yValues[0] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[1] + 1.0 / 13.0, yValues[1] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[2] + 1.0 / 13.0, yValues[2] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[3] + 1.0 / 13.0, yValues[3] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[4] + 1.0 / 13.0, yValues[4] } };
double[][] coefsMatExp = new double[][]
{
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[0] + 1.0 / 13.0, yValues[0] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[1] + 1.0 / 13.0, yValues[1] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[2] + 1.0 / 13.0, yValues[2] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[3] + 1.0 / 13.0, yValues[3] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[4] + 1.0 / 13.0, yValues[4] }
};
PiecewisePolynomialFunction1D function = new PiecewisePolynomialFunction1D();
PiecewisePolynomialInterpolator interp = new SemiLocalCubicSplineInterpolator();
PiecewisePolynomialResult result = interp.interpolate(xValues, yValues);
assertEquals(result.Dimensions, 1);
assertEquals(result.NumberOfIntervals, 5);
assertEquals(result.Order, 4);
for (int i = 0; i < result.NumberOfIntervals; ++i)
{
for (int j = 0; j < result.Order; ++j)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = Math.abs(coefsMatExp[i][j]) == 0.0 ? 1.0 : Math.abs(coefsMatExp[i][j]);
double @ref = Math.Abs(coefsMatExp[i][j]) == 0.0 ? 1.0 : Math.Abs(coefsMatExp[i][j]);
assertEquals(result.CoefMatrix.get(i, j), coefsMatExp[i][j], @ref * EPS);
}
}
const int nKeys = 101;
for (int i = 0; i < nKeys; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 1.0 + 5.0 / (nKeys - 1) * i;
double key = 1.0 + 5.0 / (nKeys - 1) * i;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = key * key / 7.0 + key / 13.0 + 1 / 11.0;
double @ref = key * key / 7.0 + key / 13.0 + 1 / 11.0;
assertEquals(function.evaluate(result, key).get(0), @ref, @ref * EPS);
}
}
/// <summary>
/// Sample data given in the original paper, consisting of constant part and monotonically increasing part
/// </summary>
public virtual void sampleDataTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
double[] xValues = new double[] { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yValues = new double[] {10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.5, 15.0, 50.0, 60.0, 85.0 };
double[] yValues = new double[] { 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.5, 15.0, 50.0, 60.0, 85.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] coefsMatPartExp = new double[][] { {0.0, 0.0, 0.0, 10.0 }, {0.0, 0.0, 0.0, 10.0 }, {0.0, 0.0, 0.0, 10.0 }, {0.0, 0.0, 0.0, 10.0 }, {0.0, 0.0, 0.0, 10.0 } };
double[][] coefsMatPartExp = new double[][]
{
new double[] { 0.0, 0.0, 0.0, 10.0 },
new double[] { 0.0, 0.0, 0.0, 10.0 },
new double[] { 0.0, 0.0, 0.0, 10.0 },
new double[] { 0.0, 0.0, 0.0, 10.0 },
new double[] { 0.0, 0.0, 0.0, 10.0 }
};
PiecewisePolynomialFunction1D function = new PiecewisePolynomialFunction1D();
PiecewisePolynomialInterpolator interp = new SemiLocalCubicSplineInterpolator();
PiecewisePolynomialResult result = interp.interpolate(xValues, yValues);
assertEquals(result.Dimensions, 1);
assertEquals(result.NumberOfIntervals, 10);
assertEquals(result.Order, 4);
for (int i = 0; i < 5; ++i)
{
for (int j = 0; j < 4; ++j)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = Math.abs(coefsMatPartExp[i][j]) == 0.0 ? 1.0 : Math.abs(coefsMatPartExp[i][j]);
double @ref = Math.Abs(coefsMatPartExp[i][j]) == 0.0 ? 1.0 : Math.Abs(coefsMatPartExp[i][j]);
assertEquals(result.CoefMatrix.get(i, j), coefsMatPartExp[i][j], @ref * EPS);
}
}
const int nKeys = 101;
double key0 = 5.0;
for (int i = 1; i < nKeys; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 5.0 + 5.0 / (nKeys - 1) * i;
double key = 5.0 + 5.0 / (nKeys - 1) * i;
assertTrue(function.evaluate(result, key).get(0) - function.evaluate(result, key0).get(0) >= 0.0);
key0 = 5.0 + 5.0 / (nKeys - 1) * i;
}
key0 = 0.0;
for (int i = 1; i < nKeys; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 0.0 + 5.0 / (nKeys - 1) * i;
double key = 0.0 + 5.0 / (nKeys - 1) * i;
assertTrue(function.evaluate(result, key).get(0) - function.evaluate(result, key0).get(0) == 0.0);
key0 = 0.0 + 5.0 / (nKeys - 1) * i;
}
}
///
public virtual void quadraticMultiTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int nData = xValues.length;
int nData = xValues.Length;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] yValues = new double[2][nData];
//JAVA TO C# CONVERTER NOTE: The following call to the 'RectangularArrays' helper class reproduces the rectangular array initialization that is automatic in Java:
//ORIGINAL LINE: double[][] yValues = new double[2][nData];
double[][] yValues = RectangularArrays.ReturnRectangularDoubleArray(2, nData);
for (int i = 0; i < nData; ++i)
{
yValues[0][i] = xValues[i] * xValues[i] / 7.0 + xValues[i] / 13.0 + 1 / 11.0;
}
for (int i = 0; i < nData; ++i)
{
yValues[1][i] = xValues[i] * xValues[i] / 3.0 + xValues[i] / 7.0 + 1 / 17.0;
}
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] coefsMatExp = new double[][] { {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[0] + 1.0 / 13.0, yValues[0][0] }, {0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[0] + 1.0 / 7.0, yValues[1][0] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[1] + 1.0 / 13.0, yValues[0][1] }, {0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[1] + 1.0 / 7.0, yValues[1][1] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[2] + 1.0 / 13.0, yValues[0][2] }, {0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[2] + 1.0 / 7.0, yValues[1][2] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[3] + 1.0 / 13.0, yValues[0][3] }, {0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[3] + 1.0 / 7.0, yValues[1][3] }, {0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[4] + 1.0 / 13.0, yValues[0][4] }, {0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[4] + 1.0 / 7.0, yValues[1][4] } };
double[][] coefsMatExp = new double[][]
{
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[0] + 1.0 / 13.0, yValues[0][0] },
new double[] { 0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[0] + 1.0 / 7.0, yValues[1][0] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[1] + 1.0 / 13.0, yValues[0][1] },
new double[] { 0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[1] + 1.0 / 7.0, yValues[1][1] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[2] + 1.0 / 13.0, yValues[0][2] },
new double[] { 0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[2] + 1.0 / 7.0, yValues[1][2] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[3] + 1.0 / 13.0, yValues[0][3] },
new double[] { 0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[3] + 1.0 / 7.0, yValues[1][3] },
new double[] { 0.0, 1.0 / 7.0, 2.0 / 7.0 * xValues[4] + 1.0 / 13.0, yValues[0][4] },
new double[] { 0.0, 1.0 / 3.0, 2.0 / 3.0 * xValues[4] + 1.0 / 7.0, yValues[1][4] }
};
PiecewisePolynomialFunction1D function = new PiecewisePolynomialFunction1D();
PiecewisePolynomialInterpolator interp = new SemiLocalCubicSplineInterpolator();
PiecewisePolynomialResult result = interp.interpolate(xValues, yValues);
assertEquals(result.Dimensions, 2);
assertEquals(result.NumberOfIntervals, 5);
assertEquals(result.Order, 4);
for (int i = 0; i < result.NumberOfIntervals * 2; ++i)
{
for (int j = 0; j < result.Order; ++j)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = Math.abs(coefsMatExp[i][j]) == 0.0 ? 1.0 : Math.abs(coefsMatExp[i][j]);
double @ref = Math.Abs(coefsMatExp[i][j]) == 0.0 ? 1.0 : Math.Abs(coefsMatExp[i][j]);
assertEquals(result.CoefMatrix.get(i, j), coefsMatExp[i][j], @ref * EPS);
}
}
const int nKeys = 101;
for (int i = 0; i < nKeys; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 1.0 + 5.0 / (nKeys - 1) * i;
double key = 1.0 + 5.0 / (nKeys - 1) * i;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = key * key / 7.0 + key / 13.0 + 1 / 11.0;
double @ref = key * key / 7.0 + key / 13.0 + 1 / 11.0;
assertEquals(function.evaluate(result, key).get(0), @ref, @ref * EPS);
}
}
