public void Test6()
{
MatrixF A = new MatrixF(new float[, ] {
{ -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }
});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
SorMethodF solver = new SorMethodF();
solver.MaxNumberOfIterations = 4;
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsFalse(VectorF.AreNumericallyEqual(solution, x));
Assert.AreEqual(4, solver.NumberOfIterations);
// Compare with Gauss-Seidel. Must be equal.
GaussSeidelMethodF gsSolver = new GaussSeidelMethodF();
gsSolver.MaxNumberOfIterations = 4;
VectorF gsSolution = gsSolver.Solve(A, null, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(gsSolution, x));
}
public void Test1()
{
MatrixF A = new MatrixF(new float[,] { { 4 } });
VectorF b = new VectorF(new float[] { 20 });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(new VectorF(1, 5), x));
Assert.AreEqual(2, solver.NumberOfIterations);
}
public void Test4()
{
MatrixF A = new MatrixF(new float[,] { { -12, 2 },
{ 2, 3 }});
VectorF b = new VectorF(new float[] { 20, 28 });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x));
}
public void Test1()
{
MatrixF A = new MatrixF(new float[, ] {
{ 4 }
});
VectorF b = new VectorF(new float[] { 20 });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(new VectorF(1, 5), x));
Assert.AreEqual(2, solver.NumberOfIterations);
}
public void Test5()
{
MatrixF A = new MatrixF(new float[,] { { -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x));
}
public void Test4()
{
MatrixF A = new MatrixF(new float[, ] {
{ -12, 2 },
{ 2, 3 }
});
VectorF b = new VectorF(new float[] { 20, 28 });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x));
}
public void Test5()
{
MatrixF A = new MatrixF(new float[, ] {
{ -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }
});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x));
}
public void Test7()
{
MatrixF A = new MatrixF(new float[, ] {
{ -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }
});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
solver.Epsilon = 0.1f;
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x, 0.1f));
Assert.IsFalse(VectorF.AreNumericallyEqual(solution, x));
Assert.Greater(12, solver.NumberOfIterations); // For normal accuracy (EpsilonF) we need 12 iterations.
}
public void Test9()
{
MatrixF A = new MatrixF(new float[,] { { -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
SorMethodF solver = new SorMethodF();
solver.RelaxationFactor = 1.5f;
solver.MaxNumberOfIterations = 4;
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsFalse(VectorF.AreNumericallyEqual(solution, x));
Assert.AreEqual(4, solver.NumberOfIterations);
// Compare with Gauss-Seidel. Should be unequal because the relaxation factor is not 1.
GaussSeidelMethodF gsSolver = new GaussSeidelMethodF();
solver.MaxNumberOfIterations = 4;
VectorF gsSolution = gsSolver.Solve(A, null, b);
Assert.IsFalse(VectorF.AreNumericallyEqual(gsSolution, x));
}
public void TestArgumentException3()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(new MatrixF(3, 3), new VectorF(4), new VectorF(3));
}
public void TestArgumentNullException2()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(new MatrixF(), null, null);
}
public void TestArgumentNullException()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(null, null, new VectorF());
}
public void TestArgumentNullException2()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(new MatrixF(), null, null);
}
public void TestArgumentNullException()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(null, null, new VectorF());
}
public void TestArgumentException3()
{
GaussSeidelMethodF solver = new GaussSeidelMethodF();
VectorF x = solver.Solve(new MatrixF(3, 3), new VectorF(4), new VectorF(3));
}
public void Test7()
{
MatrixF A = new MatrixF(new float[,] { { -21, 2, -4, 0 },
{ 2, 3, 0.1f, -1 },
{ 2, 10, 111.1f, -11 },
{ 23, 112, 111.1f, -143 }});
VectorF b = new VectorF(new float[] { 20, 28, -12, 0.1f });
GaussSeidelMethodF solver = new GaussSeidelMethodF();
solver.Epsilon = 0.1f;
VectorF x = solver.Solve(A, null, b);
VectorF solution = MatrixF.SolveLinearEquations(A, b);
Assert.IsTrue(VectorF.AreNumericallyEqual(solution, x, 0.1f));
Assert.IsFalse(VectorF.AreNumericallyEqual(solution, x));
Assert.Greater(12, solver.NumberOfIterations); // For normal accuracy (EpsilonF) we need 12 iterations.
}
