public void GetVectorMemberTest()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T5);
DoubleVector TT = dsl.GetVector();
Assert.IsTrue(T5.Equals(TT));
}
public void ZeroLengthVectorTestsforConstructor1()
{
DoubleVector dv = new DoubleVector(1, 0.0);
dv.RemoveAt(0);
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(dv);
}
public void ZeroLengthVectorTestsforConstructor2()
{
double[] dv = new double[0];
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(dv);
}
public void NullParameterTestforConstructor1()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(null as DoubleVector);
}
public void NullParameterTestforConstructor2()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(null as double[]);
}
public void DecompositionTest10()
{
int i, j;
double e, me;
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleMatrix U = dsl.U;
DoubleMatrix D = dsl.D;
DoubleMatrix L = dsl.L;
// check U is the transpose of L
Assert.IsTrue(U.Equals(L.GetTranspose()));
// check the lower triangle
me = 0.0;
for (i = 0; i < dsl.Order; i++)
{
for (j = 0; j <= i ; j++)
{
e = System.Math.Abs((A10[i, j] - L[i, j]) / A10[i, j]);
if (e > me)
{
me = e;
}
}
}
Assert.IsTrue(me < Tolerance10, "Maximum Error = " + me.ToString());
// check the diagonal
me = 0.0;
for (i = 0; i < dsl.Order; i++)
{
e = System.Math.Abs((D10[i] - D[i, i]) / D10[i]);
if (e > me)
{
me = e;
}
}
Assert.IsTrue(me < Tolerance10, "Maximum Error = " + me.ToString());
}
public void SingularityPropertyTest10()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
Assert.IsFalse(dsl.IsSingular);
}
public void NullParameterTestforSolveMatrix()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleMatrix X = dsl.Solve(null as DoubleMatrix);
}
public void MismatchRowsTestforSolveMatrix()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleMatrix X = dsl.Solve(I5);
}
public void MismatchRowsTestforSolveVector()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleVector X = dsl.Solve(X5);
}
public void SolveVector10()
{
int i;
double e, me;
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleVector X = dsl.Solve(Y10);
// determine the maximum error
me = 0.0;
for (i = 0; i < dsl.Order; i++)
{
e = System.Math.Abs((X10[i] - X[i]) / X10[i]);
if (e > me)
{
me = e;
}
}
Assert.IsTrue(me < Tolerance10, "Maximum Error = " + me.ToString());
}
public void NullParameterTestforSolveVector()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
DoubleVector X = dsl.Solve(null as DoubleVector);
}
public void GetDeterminantMethodTest10()
{
// calculate determinant from diagonal
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
// check results match
Double e = System.Math.Abs( (dsl.GetDeterminant() - Det10)/Det10 );
Assert.IsTrue(e < Tolerance10);
}
public void SingularityPropertyTest()
{
DoubleVector T = new DoubleVector(10);
for (int i = 1; i < 10; i++)
{
T[i] = (double) (i + 1);
}
T[0] = -2.0;
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T);
Assert.IsTrue(dsl.IsSingular);
}
public void GetMatrixMemberTest()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T5);
DoubleMatrix dsldm = dsl.GetMatrix();
for (int row = 0; row < T5.Length; row++)
{
for (int column = 0; column < T5.Length; column++)
{
if (column < row)
{
Assert.IsTrue(dsldm[row, column] == T5[row - column]);
}
else
{
Assert.IsTrue(dsldm[row, column] == T5[column - row]);
}
}
}
}
public void SolveMatrix5()
{
int i, j;
double e, me;
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T5);
// check inverse
DoubleMatrix I = dsl.Solve(DoubleMatrix.CreateIdentity(5));
me = 0.0;
for (i = 0; i < dsl.Order; i++)
{
for (j = 0; j < dsl.Order; j++)
{
e = System.Math.Abs((I5[i, j] - I[i, j]) / I5[i, j]);
if (e > me)
{
me = e;
}
}
}
Assert.IsTrue(me < Tolerance5, "Maximum Error = " + me.ToString());
}
public void OrderPropertyTest()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T5);
Assert.IsTrue(dsl.Order == 5);
}
public void GetInverse10()
{
int i, j;
double e, me;
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T10);
// check inverse
DoubleMatrix I = dsl.GetInverse();
me = 0.0;
for (i = 0; i < dsl.Order; i++)
{
for (j = 0; j < dsl.Order; j++)
{
e = System.Math.Abs((I10[i, j] - I[i, j]) / I10[i, j]);
if (e > me)
{
me = e;
}
}
}
Assert.IsTrue(me < Tolerance10, "Maximum Error = " + me.ToString());
}
public void PositveDefinitePropertyTest5()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(T5);
Assert.IsTrue(dsl.IsPositiveDefinite);
}
public void PositveDefinitePropertyTest()
{
DoubleSymmetricLevinson dsl = new DoubleSymmetricLevinson(1.0, 2.0, 3.0, 4.0, 5.0);
Assert.IsFalse(dsl.IsPositiveDefinite);
}
