///
public virtual void localMonotonicityIncTest()
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] xValues = new double[] {2.0, 3.0, 5.0, 8.0, 9.0, 13.0 };
double[] xValues = new double[] { 2.0, 3.0, 5.0, 8.0, 9.0, 13.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[] yValues = new double[] {1.0, 1.01, 2.0, 2.1, 2.2, 2.201 };
double[] yValues = new double[] { 1.0, 1.01, 2.0, 2.1, 2.2, 2.201 };
PiecewisePolynomialInterpolator interp = new NaturalSplineInterpolator();
PiecewisePolynomialResult result = interp.interpolate(xValues, yValues);
PiecewisePolynomialFunction1D function = new PiecewisePolynomialFunction1D();
PiecewisePolynomialInterpolator interpPos = new MonotonicityPreservingCubicSplineInterpolator(interp);
PiecewisePolynomialResult resultPos = interpPos.interpolate(xValues, yValues);
assertEquals(resultPos.Dimensions, result.Dimensions);
assertEquals(resultPos.NumberOfIntervals, result.NumberOfIntervals);
assertEquals(resultPos.Order, result.Order);
const int nKeys = 111;
double key0 = 2.0;
for (int i = 1; i < nKeys; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 2.0 + 11.0 / (nKeys - 1) * i;
double key = 2.0 + 11.0 / (nKeys - 1) * i;
assertTrue(function.evaluate(resultPos, key).get(0) - function.evaluate(resultPos, key0).get(0) >= 0.0);
key0 = 2.0 + 11.0 / (nKeys - 1) * i;
}
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void NanOutputTest()
public virtual void NanOutputTest()
{
double[] xValues = new double[] { 1.0, 2.e-308, 3.e-308, 4.0 };
double[] yValues = new double[] { 1.0, 2.0, 1.e308, 3.0 };
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 coincideXvaluesTest()
public virtual void coincideXvaluesTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0, 3.0 };
double[] yValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 shortDataLengthTest()
public virtual void shortDataLengthTest()
{
double[] xValues = new double[] { 1.0 };
double[] yValues = new double[] { 4.0 };
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 wrongDatalengthTest()
public virtual void wrongDatalengthTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0 };
double[] yValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 NullKeyTest()
public virtual void NullKeyTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0 };
double[] yValues = new double[] { 1.0, 3.0, 4.0 };
double[] xKey = new double[3];
xKey = null;
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.interpolate(xValues, yValues, xKey);
}
///
public virtual void recov4ptsMultiTest()
{
//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 };
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] yValues = new double[][] { {6.0, 25.0 / 6.0, 10.0 / 3.0, 4.0 }, {6.0, 1.0, 0.0, 0.0 } };
double[][] yValues = new double[][]
{
new double[] { 6.0, 25.0 / 6.0, 10.0 / 3.0, 4.0 },
new double[] { 6.0, 1.0, 0.0, 0.0 }
};
const int nIntervalsExp = 3;
const int orderExp = 4;
const int dimExp = 2;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] coefsMatExp = new double[][] { {1.0 / 6.0, 0.0, -2.0, 6.0 }, {1.0, 0.0, -6.0, 6.0 }, {1.0 / 6.0, 1.0 / 2.0, -3.0 / 2.0, 25.0 / 6.0 }, {-1.0, 3.0, -3.0, 1.0 }, {-1.0 / 3.0, 1.0, 0.0, 10.0 / 3.0 }, {0.0, 0.0, 0.0, 0 } };
double[][] coefsMatExp = new double[][]
{
new double[] { 1.0 / 6.0, 0.0, -2.0, 6.0 },
new double[] { 1.0, 0.0, -6.0, 6.0 },
new double[] { 1.0 / 6.0, 1.0 / 2.0, -3.0 / 2.0, 25.0 / 6.0 },
new double[] { -1.0, 3.0, -3.0, 1.0 },
new double[] { -1.0 / 3.0, 1.0, 0.0, 10.0 / 3.0 },
new double[] { 0.0, 0.0, 0.0, 0 }
};
NaturalSplineInterpolator interpMatrix = new NaturalSplineInterpolator();
PiecewisePolynomialResult result = interpMatrix.interpolate(xValues, yValues);
assertEquals(result.Dimensions, dimExp);
assertEquals(result.NumberOfIntervals, nIntervalsExp);
assertEquals(result.Dimensions, dimExp);
for (int i = 0; i < nIntervalsExp * dimExp; ++i)
{
for (int j = 0; j < orderExp; ++j)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = coefsMatExp[i][j] == 0.0 ? 1.0 : Math.abs(coefsMatExp[i][j]);
double @ref = coefsMatExp[i][j] == 0.0 ? 1.0 : Math.Abs(coefsMatExp[i][j]);
assertEquals(result.CoefMatrix.get(i, j), coefsMatExp[i][j], @ref * EPS);
}
}
for (int j = 0; j < nIntervalsExp + 1; ++j)
{
assertEquals(result.Knots.get(j), xValues[j]);
}
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void InfiniteOutputMultiTest()
public virtual void InfiniteOutputMultiTest()
{
double[] xValues = new double[] { 1.e-308, 2.e-308 };
double[][] yValues = new double[][]
{
new double[] { 1.0, 1.e308 },
new double[] { 2.0, 1.0 }
};
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 InfyValuesMultiTest()
public virtual void InfyValuesMultiTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
double[][] yValues = new double[][]
{
new double[] { 1.0, 2.0, 3.0, 4.0 },
new double[] { 1.0, 2.0, 3.0, INF }
};
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 NullYvaluesMultiTest()
public virtual void NullYvaluesMultiTest()
{
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
//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][4];
double[][] yValues = RectangularArrays.ReturnRectangularDoubleArray(2, 4);
yValues = null;
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.interpolate(xValues, yValues);
}
///
public virtual void positivityEndIntervalsTest()
{
//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 double[][] yValues = new double[][] { {0.01, 0.01, 0.01, 10.0, 20.0, 1.0 }, {0.01, 0.01, 10.0, 10.0, 0.01, 0.01 } };
double[][] yValues = new double[][]
{
new double[] { 0.01, 0.01, 0.01, 10.0, 20.0, 1.0 },
new double[] { 0.01, 0.01, 10.0, 10.0, 0.01, 0.01 }
};
PiecewisePolynomialInterpolator interp = new NaturalSplineInterpolator();
PiecewisePolynomialResult result = interp.interpolate(xValues, yValues);
PiecewisePolynomialFunction1D function = new PiecewisePolynomialFunction1D();
PiecewisePolynomialInterpolator interpPos = new NonnegativityPreservingCubicSplineInterpolator(interp);
PiecewisePolynomialResult resultPos = interpPos.interpolate(xValues, yValues);
assertEquals(resultPos.Dimensions, result.Dimensions);
assertEquals(resultPos.NumberOfIntervals, result.NumberOfIntervals);
assertEquals(resultPos.Order, result.Order);
const int nPts = 101;
for (int i = 0; i < 101; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double key = 1.0 + 5.0 / (nPts - 1) * i;
double key = 1.0 + 5.0 / (nPts - 1) * i;
assertTrue(function.evaluate(resultPos, key).get(0) >= 0.0);
}
int dim = yValues.Length;
int nData = xValues.Length;
for (int j = 0; j < dim; ++j)
{
for (int i = 1; i < nData - 2; ++i)
{
DoubleMatrix coefMatrix = resultPos.CoefMatrix;
double tau = Math.Sign(coefMatrix.get(dim * i + j, 3));
assertTrue(coefMatrix.get(dim * i + j, 2) * tau >= -3.0 * yValues[j][i] * tau / (xValues[i + 1] - xValues[i]));
assertTrue(coefMatrix.get(dim * i + j, 2) * tau <= 3.0 * yValues[j][i] * tau / (xValues[i] - xValues[i - 1]));
}
}
}
///
//JAVA TO C# CONVERTER TODO TASK: Most Java annotations will not have direct .NET equivalent attributes:
//ORIGINAL LINE: @Test(expectedExceptions = IllegalArgumentException.class) public void NullXvaluesMultiTest()
public virtual void NullXvaluesMultiTest()
{
double[] xValues = new double[4];
double[][] yValues = new double[][]
{
new double[] { 1.0, 2.0, 3.0, 4.0 },
new double[] { 1.0, 5.0, 3.0, 4.0 }
};
xValues = null;
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.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 LargeInterpolantsTest()
public virtual void LargeInterpolantsTest()
{
//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 };
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] yValues = new double[][] { {2.0, 10.0, 2.0, 5.0 }, {1.0, 2.0, 10.0, 11.0 } };
double[][] yValues = new double[][]
{
new double[] { 2.0, 10.0, 2.0, 5.0 },
new double[] { 1.0, 2.0, 10.0, 11.0 }
};
NaturalSplineInterpolator interp = new NaturalSplineInterpolator();
interp.interpolate(xValues, yValues[0], 1.e308);
}
/// <summary>
/// Derive value of the underlying cubic spline function at the value of xKey
/// </summary>
public virtual void InterpolantsTest()
{
//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 };
double[] xValues = new double[] { 1.0, 2.0, 3.0, 4.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] yValues = new double[][] { {6.0, 25.0 / 6.0, 10.0 / 3.0, 4.0 }, {6.0, 1.0, 0.0, 0.0 } };
double[][] yValues = new double[][]
{
new double[] { 6.0, 25.0 / 6.0, 10.0 / 3.0, 4.0 },
new double[] { 6.0, 1.0, 0.0, 0.0 }
};
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][] xKey = new double[][] { {-1.0, 0.5, 1.5 }, {2.5, 3.5, 4.5 } };
double[][] xKey = new double[][]
{
new double[] { -1.0, 0.5, 1.5 },
new double[] { 2.5, 3.5, 4.5 }
};
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double[][][] resultValuesExpected = new double[][][] { { {26.0 / 3.0, 57.0 / 16.0 }, {10.0, 1.0 / 8.0 } }, { {335.0 / 48.0, 85.0 / 24.0 }, {71.0 / 8.0, 0.0 } }, { {241.0 / 48.0, 107.0 / 24.0 }, {25.0 / 8.0, 0.0 } } };
double[][][] resultValuesExpected = new double[][][]
{
new double[][]
{
new double[] { 26.0 / 3.0, 57.0 / 16.0 },
new double[] { 10.0, 1.0 / 8.0 }
},
new double[][]
{
new double[] { 335.0 / 48.0, 85.0 / 24.0 },
new double[] { 71.0 / 8.0, 0.0 }
},
new double[][]
{
new double[] { 241.0 / 48.0, 107.0 / 24.0 },
new double[] { 25.0 / 8.0, 0.0 }
}
};
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int yDim = yValues.length;
int yDim = yValues.Length;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int keyLength = xKey[0].length;
int keyLength = xKey[0].Length;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int keyDim = xKey.length;
int keyDim = xKey.Length;
PiecewisePolynomialInterpolator interp = new NaturalSplineInterpolator();
double value = interp.interpolate(xValues, yValues[0], xKey[0][0]);
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[0][0][0] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[0][0][0]);
double @ref = resultValuesExpected[0][0][0] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[0][0][0]);
assertEquals(value, resultValuesExpected[0][0][0], @ref * EPS);
}
DoubleArray valuesVec1 = interp.interpolate(xValues, yValues, xKey[0][0]);
for (int i = 0; i < yDim; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[0][i][0] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[0][i][0]);
double @ref = resultValuesExpected[0][i][0] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[0][i][0]);
assertEquals(valuesVec1.get(i), resultValuesExpected[0][i][0], @ref * EPS);
}
DoubleArray valuesVec2 = interp.interpolate(xValues, yValues[0], xKey[0]);
for (int k = 0; k < keyLength; ++k)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[k][0][0] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[k][0][0]);
double @ref = resultValuesExpected[k][0][0] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[k][0][0]);
assertEquals(valuesVec2.get(k), resultValuesExpected[k][0][0], @ref * EPS);
}
DoubleMatrix valuesMat1 = interp.interpolate(xValues, yValues[0], xKey);
for (int j = 0; j < keyDim; ++j)
{
for (int k = 0; k < keyLength; ++k)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[k][0][j] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[k][0][j]);
double @ref = resultValuesExpected[k][0][j] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[k][0][j]);
assertEquals(valuesMat1.get(j, k), resultValuesExpected[k][0][j], @ref * EPS);
}
}
DoubleMatrix valuesMat2 = interp.interpolate(xValues, yValues, xKey[0]);
for (int i = 0; i < yDim; ++i)
{
for (int k = 0; k < keyLength; ++k)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[k][i][0] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[k][i][0]);
double @ref = resultValuesExpected[k][i][0] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[k][i][0]);
assertEquals(valuesMat2.get(i, k), resultValuesExpected[k][i][0], @ref * EPS);
}
}
DoubleMatrix[] valuesMat3 = interp.interpolate(xValues, yValues, xKey);
for (int i = 0; i < yDim; ++i)
{
for (int j = 0; j < keyDim; ++j)
{
for (int k = 0; k < keyLength; ++k)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = resultValuesExpected[k][i][j] == 0.0 ? 1.0 : Math.abs(resultValuesExpected[k][i][j]);
double @ref = resultValuesExpected[k][i][j] == 0.0 ? 1.0 : Math.Abs(resultValuesExpected[k][i][j]);
assertEquals(valuesMat3[k].get(i, j), resultValuesExpected[k][i][j], @ref * EPS);
}
}
}
}
///
public virtual void crossDerivativeTest()
{
double[] x0Values = new double[] { 1.0, 2.0, 3.0, 4.0 };
double[] x1Values = new double[] { -1.0, 0.0, 1.0, 2.0, 3.0 };
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int n0Data = x0Values.length;
int n0Data = x0Values.Length;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int n1Data = x1Values.length;
int n1Data = x1Values.Length;
double[][] yValues = new double[][]
{
new double[] { 1.0, -1.0, 0.0, 1.0, 0.0 },
new double[] { 1.0, -1.0, 0.0, 1.0, -2.0 },
new double[] { 1.0, -2.0, 0.0, -2.0, -2.0 },
new double[] { -1.0, -1.0, -2.0, -2.0, -1.0 }
};
NaturalSplineInterpolator method = new NaturalSplineInterpolator();
PiecewisePolynomialInterpolator2D interp = new BicubicSplineInterpolator(method);
PiecewisePolynomialResult2D result = interp.interpolate(x0Values, x1Values, yValues);
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int n0IntExp = n0Data - 1;
int n0IntExp = n0Data - 1;
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final int n1IntExp = n1Data - 1;
int n1IntExp = n1Data - 1;
const int orderExp = 4;
const int n0Keys = 51;
const int n1Keys = 61;
double[] x0Keys = new double[n0Keys];
double[] x1Keys = new double[n1Keys];
for (int i = 0; i < n0Keys; ++i)
{
x0Keys[i] = 0.0 + 5.0 * i / (n0Keys - 1);
}
for (int i = 0; i < n1Keys; ++i)
{
x1Keys[i] = -2.0 + 6.0 * i / (n1Keys - 1);
}
assertEquals(result.NumberOfIntervals[0], n0IntExp);
assertEquals(result.NumberOfIntervals[1], n1IntExp);
assertEquals(result.Order[0], orderExp);
assertEquals(result.Order[1], orderExp);
for (int i = 0; i < n0Data; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = Math.abs(x0Values[i]) == 0.0 ? 1.0 : Math.abs(x0Values[i]);
double @ref = Math.Abs(x0Values[i]) == 0.0 ? 1.0 : Math.Abs(x0Values[i]);
assertEquals(result.Knots0.get(i), x0Values[i], @ref * EPS);
assertEquals(result.Knots2D[0].get(i), x0Values[i], @ref * EPS);
}
for (int i = 0; i < n1Data; ++i)
{
//JAVA TO C# CONVERTER WARNING: The original Java variable was marked 'final':
//ORIGINAL LINE: final double ref = Math.abs(x1Values[i]) == 0.0 ? 1.0 : Math.abs(x1Values[i]);
double @ref = Math.Abs(x1Values[i]) == 0.0 ? 1.0 : Math.Abs(x1Values[i]);
assertEquals(result.Knots1.get(i), x1Values[i], @ref * EPS);
assertEquals(result.Knots2D[1].get(i), x1Values[i], @ref * EPS);
}
for (int i = 0; i < n0Data - 1; ++i)
{
for (int j = 0; j < n1Data - 1; ++j)
{
double @ref = Math.Abs(yValues[i][j]) == 0.0 ? 1.0 : Math.Abs(yValues[i][j]);
assertEquals(result.Coefs[i][j].get(orderExp - 1, orderExp - 1), yValues[i][j], @ref * EPS);
}
}
DoubleMatrix resValues = interp.interpolate(x0Values, x1Values, yValues, x0Values, x1Values);
PiecewisePolynomialFunction2D func2D = new PiecewisePolynomialFunction2D();
DoubleMatrix resDiffX0 = func2D.differentiateX0(result, x0Values, x1Values);
DoubleMatrix resDiffX1 = func2D.differentiateX1(result, x0Values, x1Values);
PiecewisePolynomialFunction1D func1D = new PiecewisePolynomialFunction1D();
DoubleMatrix expDiffX0 = func1D.differentiate(method.interpolate(x0Values, OG_ALGEBRA.getTranspose(DoubleMatrix.copyOf(yValues)).toArray()), x0Values);
DoubleMatrix expDiffX1 = func1D.differentiate(method.interpolate(x1Values, yValues), x1Values);
for (int i = 0; i < n0Data; ++i)
{
for (int j = 0; j < n1Data; ++j)
{
double expVal = expDiffX1.get(i, j);
double @ref = Math.Abs(expVal) == 0.0 ? 1.0 : Math.Abs(expVal);
assertEquals(resDiffX1.get(i, j), expVal, @ref * EPS);
}
}
for (int i = 0; i < n0Data; ++i)
{
for (int j = 0; j < n1Data; ++j)
{
double expVal = expDiffX0.get(j, i);
double @ref = Math.Abs(expVal) == 0.0 ? 1.0 : Math.Abs(expVal);
assertEquals(resDiffX0.get(i, j), expVal, @ref * EPS);
}
}
for (int i = 0; i < n0Data; ++i)
{
for (int j = 0; j < n1Data; ++j)
{
double expVal = yValues[i][j];
double @ref = Math.Abs(expVal) == 0.0 ? 1.0 : Math.Abs(expVal);
assertEquals(resValues.get(i, j), expVal, @ref * EPS);
}
}
}