public void MismatchRowsTestforSolveMatrix()
{
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T4);
ComplexFloatMatrix X = cdsl.Solve(I5);
}
public void NullParameterTestforSolveMatrix()
{
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T5);
ComplexFloatMatrix X = cdsl.Solve(null as ComplexFloatMatrix);
}
public void SolveVector5()
{
int i;
float e, me;
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T5);
ComplexFloatVector X = cdsl.Solve(Y5);
// determine the maximum error
me = 0.0f;
for (i = 0; i < cdsl.Order; i++)
{
e = ComplexMath.Absolute((X5[i] - X[i]) / X5[i]);
if (e > me)
{
me = e;
}
}
Assert.IsTrue(me < Tolerance5, "Maximum Error = " + me.ToString());
}
public void MismatchRowsTestforSolveVector()
{
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T4);
ComplexFloatVector X = cdsl.Solve(X5);
}
public void NullParameterTestforSolveVector()
{
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T5);
ComplexFloatVector X = cdsl.Solve(null as ComplexFloatVector);
}
public void SolveMatrix5()
{
int i, j;
float e, me;
ComplexFloatSymmetricLevinson cdsl = new ComplexFloatSymmetricLevinson(T5);
// check inverse
ComplexFloatMatrix I = cdsl.Solve(ComplexFloatMatrix.CreateIdentity(5));
me = 0.0f;
for (i = 0; i < cdsl.Order; i++)
{
for (j = 0; j < cdsl.Order; j++)
{
e = ComplexMath.Absolute((I5[i, j] - I[i, j]) / I5[i, j]);
if (e > me)
{
me = e;
}
}
}
Assert.IsTrue(me < Tolerance5, "Maximum Error = " + me.ToString());
}
