Ejemplo n.º 1
0
void test2dRotation(double tol)
{
  Matrix<T,2,2> A, B, C;
  T angle;

  A << 0, 1, -1, 0;
  for (int i=0; i<=20; i++)
  {
    angle = static_cast<T>(pow(10, i / 5. - 2));
    B << cos(angle), sin(angle), -sin(angle), cos(angle);

    C = (angle*A).matrixFunction(expfn);
    std::cout << "test2dRotation: i = " << i << "   error funm = " << relerr(C, B);
    VERIFY(C.isApprox(B, static_cast<T>(tol)));

    C = (angle*A).exp();
    std::cout << "   error expm = " << relerr(C, B) << "\n";
    VERIFY(C.isApprox(B, static_cast<T>(tol)));
  }
}
Ejemplo n.º 2
0
void testPascal(double tol)
{
  for (int size=1; size<20; size++)
  {
    Matrix<T,Dynamic,Dynamic> A(size,size), B(size,size), C(size,size);
    A.setZero();
    for (int i=0; i<size-1; i++)
      A(i+1,i) = static_cast<T>(i+1);
    B.setZero();
    for (int i=0; i<size; i++)
      for (int j=0; j<=i; j++)
    B(i,j) = static_cast<T>(binom(i,j));

    C = A.matrixFunction(expfn);
    std::cout << "testPascal: size = " << size << "   error funm = " << relerr(C, B);
    VERIFY(C.isApprox(B, static_cast<T>(tol)));

    C = A.exp();
    std::cout << "   error expm = " << relerr(C, B) << "\n";
    VERIFY(C.isApprox(B, static_cast<T>(tol)));
  }
}
Ejemplo n.º 3
0
void test2dHyperbolicRotation(double tol)
{
  Matrix<std::complex<T>,2,2> A, B, C;
  std::complex<T> imagUnit(0,1);
  T angle, ch, sh;

  for (int i=0; i<=20; i++)
  {
    angle = static_cast<T>((i-10) / 2.0);
    ch = std::cosh(angle);
    sh = std::sinh(angle);
    A << 0, angle*imagUnit, -angle*imagUnit, 0;
    B << ch, sh*imagUnit, -sh*imagUnit, ch;

    C = A.matrixFunction(expfn);
    std::cout << "test2dHyperbolicRotation: i = " << i << "   error funm = " << relerr(C, B);
    VERIFY(C.isApprox(B, static_cast<T>(tol)));

    C = A.exp();
    std::cout << "   error expm = " << relerr(C, B) << "\n";
    VERIFY(C.isApprox(B, static_cast<T>(tol)));
  }
}
Ejemplo n.º 4
0
void randomTest(const MatrixType& m, double tol)
{
  /* this test covers the following files:
     Inverse.h
  */
  typename MatrixType::Index rows = m.rows();
  typename MatrixType::Index cols = m.cols();
  MatrixType m1(rows, cols), m2(rows, cols), identity = MatrixType::Identity(rows, cols);

  typedef typename NumTraits<typename internal::traits<MatrixType>::Scalar>::Real RealScalar;

  for(int i = 0; i < g_repeat; i++) {
    m1 = MatrixType::Random(rows, cols);

    m2 = m1.matrixFunction(expfn) * (-m1).matrixFunction(expfn);
    std::cout << "randomTest: error funm = " << relerr(identity, m2);
    VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));

    m2 = m1.exp() * (-m1).exp();
    std::cout << "   error expm = " << relerr(identity, m2) << "\n";
    VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));
  }
}
Ejemplo n.º 5
0
void test2dRotation(double tol)
{
  Matrix<T,2,2> A, B, C;
  T angle, c, s;

  A << 0, 1, -1, 0;
  MatrixPower<Matrix<T,2,2> > Apow(A);

  for (int i=0; i<=20; ++i) {
    angle = pow(10, (i-10) / 5.);
    c = std::cos(angle);
    s = std::sin(angle);
    B << c, s, -s, c;

    C = Apow(std::ldexp(angle,1) / M_PI);
    std::cout << "test2dRotation: i = " << i << "   error powerm = " << relerr(C,B) << '\n';
    VERIFY(C.isApprox(B, static_cast<T>(tol)));
  }
}
Ejemplo n.º 6
0
void test2dHyperbolicRotation(double tol)
{
  Matrix<std::complex<T>,2,2> A, B, C;
  T angle, ch = std::cosh((T)1);
  std::complex<T> ish(0, std::sinh((T)1));

  A << ch, ish, -ish, ch;
  MatrixPower<Matrix<std::complex<T>,2,2> > Apow(A);

  for (int i=0; i<=20; ++i) {
    angle = std::ldexp(static_cast<T>(i-10), -1);
    ch = std::cosh(angle);
    ish = std::complex<T>(0, std::sinh(angle));
    B << ch, ish, -ish, ch;

    C = Apow(angle);
    std::cout << "test2dHyperbolicRotation: i = " << i << "   error powerm = " << relerr(C,B) << '\n';
    VERIFY(C.isApprox(B, static_cast<T>(tol)));
  }
}
Ejemplo n.º 7
0
void testTriangularProduct(const MatrixType& m, const VectorType& v, double tol)
{
  typedef typename MatrixType::RealScalar RealScalar;
  MatrixType m1;
  VectorType v1, v2, v3;
  RealScalar p;

  for (int i=0; i < g_repeat; ++i) {
    generateTriangularMatrix<MatrixType>::run(m1, m.rows());
    MatrixPowerTriangular<MatrixType> mpow(m1);

    v1 = VectorType::Random(v.rows(), v.cols());
    p = internal::random<RealScalar>();

    v2.noalias() = mpow(p) * v1;
    v3.noalias() = mpow(p).eval() * v1;
    std::cout << "testTriangularProduct: error powerm = " << relerr(v2, v3) << '\n';
    VERIFY(v2.isApprox(v3, static_cast<RealScalar>(tol)));
  }
}