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precision ---> dummy_precision

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This commit is contained in:
Benoit Jacob 2009-11-26 22:05:02 -05:00
parent 5923bcb1b9
commit 4b1aca2288
27 changed files with 87 additions and 87 deletions
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58
Eigen/src/Core/MathFunctions.h
View File

@ -30,7 +30,7 @@ template<typename T> inline typename NumTraits<T>::Real epsilon()
return std::numeric_limits<typename NumTraits<T>::Real>::epsilon();
}
template<typename T> inline typename NumTraits<T>::Real precision();
template<typename T> inline typename NumTraits<T>::Real dummy_precision();
template<typename T> inline T ei_random(T a, T b);
template<typename T> inline T ei_random();
@ -55,7 +55,7 @@ template<typename T> inline typename NumTraits<T>::Real ei_hypot(T x, T y)
*** int ***
**************/
template<> inline int precision<int>() { return 0; }
template<> inline int dummy_precision<int>() { return 0; }
inline int ei_real(int x) { return x; }
inline int& ei_real_ref(int& x) { return x; }
inline int ei_imag(int) { return 0; }
@ -92,15 +92,15 @@ template<> inline int ei_random()
{
return ei_random<int>(-ei_random_amplitude<int>(), ei_random_amplitude<int>());
}
inline bool ei_isMuchSmallerThan(int a, int, int = precision<int>())
inline bool ei_isMuchSmallerThan(int a, int, int = dummy_precision<int>())
{
return a == 0;
}
inline bool ei_isApprox(int a, int b, int = precision<int>())
inline bool ei_isApprox(int a, int b, int = dummy_precision<int>())
{
return a == b;
}
inline bool ei_isApproxOrLessThan(int a, int b, int = precision<int>())
inline bool ei_isApproxOrLessThan(int a, int b, int = dummy_precision<int>())
{
return a <= b;
}
@ -109,7 +109,7 @@ inline bool ei_isApproxOrLessThan(int a, int b, int = precision<int>())
*** float ***
**************/
template<> inline float precision<float>() { return 1e-5f; }
template<> inline float dummy_precision<float>() { return 1e-5f; }
inline float ei_real(float x) { return x; }
inline float& ei_real_ref(float& x) { return x; }
inline float ei_imag(float) { return 0.f; }
@ -140,15 +140,15 @@ template<> inline float ei_random()
{
return ei_random<float>(-ei_random_amplitude<float>(), ei_random_amplitude<float>());
}
inline bool ei_isMuchSmallerThan(float a, float b, float prec = precision<float>())
inline bool ei_isMuchSmallerThan(float a, float b, float prec = dummy_precision<float>())
{
return ei_abs(a) <= ei_abs(b) * prec;
}
inline bool ei_isApprox(float a, float b, float prec = precision<float>())
inline bool ei_isApprox(float a, float b, float prec = dummy_precision<float>())
{
return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec;
}
inline bool ei_isApproxOrLessThan(float a, float b, float prec = precision<float>())
inline bool ei_isApproxOrLessThan(float a, float b, float prec = dummy_precision<float>())
{
return a <= b || ei_isApprox(a, b, prec);
}
@ -157,7 +157,7 @@ inline bool ei_isApproxOrLessThan(float a, float b, float prec = precision<float
*** double ***
**************/
template<> inline double precision<double>() { return 1e-12; }
template<> inline double dummy_precision<double>() { return 1e-12; }
inline double ei_real(double x) { return x; }
inline double& ei_real_ref(double& x) { return x; }
@ -189,15 +189,15 @@ template<> inline double ei_random()
{
return ei_random<double>(-ei_random_amplitude<double>(), ei_random_amplitude<double>());
}
inline bool ei_isMuchSmallerThan(double a, double b, double prec = precision<double>())
inline bool ei_isMuchSmallerThan(double a, double b, double prec = dummy_precision<double>())
{
return ei_abs(a) <= ei_abs(b) * prec;
}
inline bool ei_isApprox(double a, double b, double prec = precision<double>())
inline bool ei_isApprox(double a, double b, double prec = dummy_precision<double>())
{
return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec;
}
inline bool ei_isApproxOrLessThan(double a, double b, double prec = precision<double>())
inline bool ei_isApproxOrLessThan(double a, double b, double prec = dummy_precision<double>())
{
return a <= b || ei_isApprox(a, b, prec);
}
@ -206,7 +206,7 @@ inline bool ei_isApproxOrLessThan(double a, double b, double prec = precision<do
*** complex<float> ***
*********************/
template<> inline float precision<std::complex<float> >() { return precision<float>(); }
template<> inline float dummy_precision<std::complex<float> >() { return dummy_precision<float>(); }
inline float ei_real(const std::complex<float>& x) { return std::real(x); }
inline float ei_imag(const std::complex<float>& x) { return std::imag(x); }
inline float& ei_real_ref(std::complex<float>& x) { return reinterpret_cast<float*>(&x)[0]; }
@ -224,15 +224,15 @@ template<> inline std::complex<float> ei_random()
{
return std::complex<float>(ei_random<float>(), ei_random<float>());
}
inline bool ei_isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>())
inline bool ei_isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b, float prec = dummy_precision<float>())
{
return ei_abs2(a) <= ei_abs2(b) * prec * prec;
}
inline bool ei_isMuchSmallerThan(const std::complex<float>& a, float b, float prec = precision<float>())
inline bool ei_isMuchSmallerThan(const std::complex<float>& a, float b, float prec = dummy_precision<float>())
{
return ei_abs2(a) <= ei_abs2(b) * prec * prec;
}
inline bool ei_isApprox(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>())
inline bool ei_isApprox(const std::complex<float>& a, const std::complex<float>& b, float prec = dummy_precision<float>())
{
return ei_isApprox(ei_real(a), ei_real(b), prec)
&& ei_isApprox(ei_imag(a), ei_imag(b), prec);
@ -243,7 +243,7 @@ inline bool ei_isApprox(const std::complex<float>& a, const std::complex<float>&
*** complex<double> ***
**********************/
template<> inline double precision<std::complex<double> >() { return precision<double>(); }
template<> inline double dummy_precision<std::complex<double> >() { return dummy_precision<double>(); }
inline double ei_real(const std::complex<double>& x) { return std::real(x); }
inline double ei_imag(const std::complex<double>& x) { return std::imag(x); }
inline double& ei_real_ref(std::complex<double>& x) { return reinterpret_cast<double*>(&x)[0]; }
@ -261,15 +261,15 @@ template<> inline std::complex<double> ei_random()
{
return std::complex<double>(ei_random<double>(), ei_random<double>());
}
inline bool ei_isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>())
inline bool ei_isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b, double prec = dummy_precision<double>())
{
return ei_abs2(a) <= ei_abs2(b) * prec * prec;
}
inline bool ei_isMuchSmallerThan(const std::complex<double>& a, double b, double prec = precision<double>())
inline bool ei_isMuchSmallerThan(const std::complex<double>& a, double b, double prec = dummy_precision<double>())
{
return ei_abs2(a) <= ei_abs2(b) * prec * prec;
}
inline bool ei_isApprox(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>())
inline bool ei_isApprox(const std::complex<double>& a, const std::complex<double>& b, double prec = dummy_precision<double>())
{
return ei_isApprox(ei_real(a), ei_real(b), prec)
&& ei_isApprox(ei_imag(a), ei_imag(b), prec);
@ -281,7 +281,7 @@ inline bool ei_isApprox(const std::complex<double>& a, const std::complex<double
*** long double ***
******************/
template<> inline long double precision<long double>() { return precision<double>(); }
template<> inline long double dummy_precision<long double>() { return dummy_precision<double>(); }
inline long double ei_real(long double x) { return x; }
inline long double& ei_real_ref(long double& x) { return x; }
inline long double ei_imag(long double) { return 0.; }
@ -304,15 +304,15 @@ template<> inline long double ei_random()
{
return ei_random<double>(-ei_random_amplitude<double>(), ei_random_amplitude<double>());
}
inline bool ei_isMuchSmallerThan(long double a, long double b, long double prec = precision<long double>())
inline bool ei_isMuchSmallerThan(long double a, long double b, long double prec = dummy_precision<long double>())
{
return ei_abs(a) <= ei_abs(b) * prec;
}
inline bool ei_isApprox(long double a, long double b, long double prec = precision<long double>())
inline bool ei_isApprox(long double a, long double b, long double prec = dummy_precision<long double>())
{
return ei_abs(a - b) <= std::min(ei_abs(a), ei_abs(b)) * prec;
}
inline bool ei_isApproxOrLessThan(long double a, long double b, long double prec = precision<long double>())
inline bool ei_isApproxOrLessThan(long double a, long double b, long double prec = dummy_precision<long double>())
{
return a <= b || ei_isApprox(a, b, prec);
}
@ -321,7 +321,7 @@ inline bool ei_isApproxOrLessThan(long double a, long double b, long double prec
*** bool ***
**************/
template<> inline bool precision<bool>() { return 0; }
template<> inline bool dummy_precision<bool>() { return 0; }
inline bool ei_real(bool x) { return x; }
inline bool& ei_real_ref(bool& x) { return x; }
inline bool ei_imag(bool) { return 0; }
@ -334,15 +334,15 @@ template<> inline bool ei_random()
{
return (ei_random<int>(0,1) == 1);
}
inline bool ei_isMuchSmallerThan(bool a, bool, bool = precision<bool>())
inline bool ei_isMuchSmallerThan(bool a, bool, bool = dummy_precision<bool>())
{
return !a;
}
inline bool ei_isApprox(bool a, bool b, bool = precision<bool>())
inline bool ei_isApprox(bool a, bool b, bool = dummy_precision<bool>())
{
return a == b;
}
inline bool ei_isApproxOrLessThan(bool a, bool b, bool = precision<bool>())
inline bool ei_isApproxOrLessThan(bool a, bool b, bool = dummy_precision<bool>())
{
return int(a) <= int(b);
}

30
Eigen/src/Core/MatrixBase.h
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@ -558,27 +558,27 @@ template<typename Derived> class MatrixBase
template<typename OtherDerived>
bool isApprox(const MatrixBase<OtherDerived>& other,
RealScalar prec = precision<Scalar>()) const;
RealScalar prec = dummy_precision<Scalar>()) const;
bool isMuchSmallerThan(const RealScalar& other,
RealScalar prec = precision<Scalar>()) const;
RealScalar prec = dummy_precision<Scalar>()) const;
template<typename OtherDerived>
bool isMuchSmallerThan(const MatrixBase<OtherDerived>& other,
RealScalar prec = precision<Scalar>()) const;
RealScalar prec = dummy_precision<Scalar>()) const;
bool isApproxToConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
bool isConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
bool isZero(RealScalar prec = precision<Scalar>()) const;
bool isOnes(RealScalar prec = precision<Scalar>()) const;
bool isIdentity(RealScalar prec = precision<Scalar>()) const;
bool isDiagonal(RealScalar prec = precision<Scalar>()) const;
bool isApproxToConstant(const Scalar& value, RealScalar prec = dummy_precision<Scalar>()) const;
bool isConstant(const Scalar& value, RealScalar prec = dummy_precision<Scalar>()) const;
bool isZero(RealScalar prec = dummy_precision<Scalar>()) const;
bool isOnes(RealScalar prec = dummy_precision<Scalar>()) const;
bool isIdentity(RealScalar prec = dummy_precision<Scalar>()) const;
bool isDiagonal(RealScalar prec = dummy_precision<Scalar>()) const;
bool isUpperTriangular(RealScalar prec = precision<Scalar>()) const;
bool isLowerTriangular(RealScalar prec = precision<Scalar>()) const;
bool isUpperTriangular(RealScalar prec = dummy_precision<Scalar>()) const;
bool isLowerTriangular(RealScalar prec = dummy_precision<Scalar>()) const;
template<typename OtherDerived>
bool isOrthogonal(const MatrixBase<OtherDerived>& other,
RealScalar prec = precision<Scalar>()) const;
bool isUnitary(RealScalar prec = precision<Scalar>()) const;
RealScalar prec = dummy_precision<Scalar>()) const;
bool isUnitary(RealScalar prec = dummy_precision<Scalar>()) const;
template<typename OtherDerived>
inline bool operator==(const MatrixBase<OtherDerived>& other) const
@ -722,13 +722,13 @@ template<typename Derived> class MatrixBase
ResultType& inverse,
typename ResultType::Scalar& determinant,
bool& invertible,
const RealScalar& absDeterminantThreshold = precision<Scalar>()
const RealScalar& absDeterminantThreshold = dummy_precision<Scalar>()
) const;
template<typename ResultType>
void computeInverseWithCheck(
ResultType& inverse,
bool& invertible,
const RealScalar& absDeterminantThreshold = precision<Scalar>()
const RealScalar& absDeterminantThreshold = dummy_precision<Scalar>()
) const;
Scalar determinant() const;

2
Eigen/src/Geometry/AlignedBox.h
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@ -171,7 +171,7 @@ EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim)
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const AlignedBox& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const AlignedBox& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_min.isApprox(other.m_min, prec) && m_max.isApprox(other.m_max, prec); }
protected:

4
Eigen/src/Geometry/AngleAxis.h
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@ -146,7 +146,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const AngleAxis& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const AngleAxis& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_axis.isApprox(other.m_axis, prec) && ei_isApprox(m_angle,other.m_angle, prec); }
};
@ -165,7 +165,7 @@ template<typename QuatDerived>
AngleAxis<Scalar>& AngleAxis<Scalar>::operator=(const QuaternionBase<QuatDerived>& q)
{
Scalar n2 = q.vec().squaredNorm();
if (n2 < precision<Scalar>()*precision<Scalar>())
if (n2 < dummy_precision<Scalar>()*dummy_precision<Scalar>())
{
m_angle = 0;
m_axis << 1, 0, 0;

2
Eigen/src/Geometry/EulerAngles.h
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@ -50,7 +50,7 @@ MatrixBase<Derived>::eulerAngles(int a0, int a1, int a2) const
Matrix<Scalar,3,1> res;
typedef Matrix<typename Derived::Scalar,2,1> Vector2;
const Scalar epsilon = precision<Scalar>();
const Scalar epsilon = dummy_precision<Scalar>();
const int odd = ((a0+1)%3 == a1) ? 0 : 1;
const int i = a0;

2
Eigen/src/Geometry/Hyperplane.h
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@ -257,7 +257,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const Hyperplane& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const Hyperplane& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_coeffs.isApprox(other.m_coeffs, prec); }
protected:

2
Eigen/src/Geometry/ParametrizedLine.h
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@ -123,7 +123,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const ParametrizedLine& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const ParametrizedLine& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_origin.isApprox(other.m_origin, prec) && m_direction.isApprox(other.m_direction, prec); }
protected:

6
Eigen/src/Geometry/Quaternion.h
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@ -163,7 +163,7 @@ public:
*
* \sa MatrixBase::isApprox() */
template<class OtherDerived>
bool isApprox(const QuaternionBase<OtherDerived>& other, RealScalar prec = precision<Scalar>()) const
bool isApprox(const QuaternionBase<OtherDerived>& other, RealScalar prec = dummy_precision<Scalar>()) const
{ return coeffs().isApprox(other.coeffs(), prec); }
/** return the result vector of \a v through the rotation*/
@ -514,7 +514,7 @@ inline Derived& QuaternionBase<Derived>::setFromTwoVectors(const MatrixBase<Deri
// under the constraint:
// ||x|| = 1
// which yields a singular value problem
if (c < Scalar(-1)+precision<Scalar>())
if (c < Scalar(-1)+dummy_precision<Scalar>())
{
c = std::max<Scalar>(c,-1);
Matrix<Scalar,2,3> m; m << v0.transpose(), v1.transpose();
@ -590,7 +590,7 @@ template <class OtherDerived>
Quaternion<typename ei_traits<Derived>::Scalar>
QuaternionBase<Derived>::slerp(Scalar t, const QuaternionBase<OtherDerived>& other) const
{
static const Scalar one = Scalar(1) - precision<Scalar>();
static const Scalar one = Scalar(1) - dummy_precision<Scalar>();
Scalar d = this->dot(other);
Scalar absD = ei_abs(d);
if (absD>=one)

2
Eigen/src/Geometry/Rotation2D.h
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@ -121,7 +121,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const Rotation2D& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const Rotation2D& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return ei_isApprox(m_angle,other.m_angle, prec); }
};

2
Eigen/src/Geometry/Scaling.h
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@ -107,7 +107,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const UniformScaling& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const UniformScaling& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return ei_isApprox(m_factor, other.factor(), prec); }
};

2
Eigen/src/Geometry/Transform.h
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@ -424,7 +424,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const Transform& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const Transform& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_matrix.isApprox(other.m_matrix, prec); }
/** Sets the last row to [0 ... 0 1]

2
Eigen/src/Geometry/Translation.h
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@ -154,7 +154,7 @@ public:
* determined by \a prec.
*
* \sa MatrixBase::isApprox() */
bool isApprox(const Translation& other, typename NumTraits<Scalar>::Real prec = precision<Scalar>()) const
bool isApprox(const Translation& other, typename NumTraits<Scalar>::Real prec = dummy_precision<Scalar>()) const
{ return m_coeffs.isApprox(other.m_coeffs, prec); }
};

2
Eigen/src/SVD/SVD.h
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@ -193,7 +193,7 @@ SVD<MatrixType>& SVD<MatrixType>::compute(const MatrixType& matrix)
int i,its,j,k,l,nm;
Scalar anorm, c, f, g, h, s, scale, x, y, z;
bool convergence = true;
Scalar eps = precision<Scalar>();
Scalar eps = dummy_precision<Scalar>();
Matrix<Scalar,Dynamic,1> rv1(n);
g = scale = anorm = 0;

2
Eigen/src/Sparse/AmbiVector.h
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@ -300,7 +300,7 @@ class AmbiVector<_Scalar>::Iterator
* In practice, all coefficients having a magnitude smaller than \a epsilon
* are skipped.
*/
Iterator(const AmbiVector& vec, RealScalar epsilon = RealScalar(0.1)*precision<RealScalar>())
Iterator(const AmbiVector& vec, RealScalar epsilon = RealScalar(0.1)*dummy_precision<RealScalar>())
: m_vector(vec)
{
m_epsilon = epsilon;

2
Eigen/src/Sparse/CompressedStorage.h
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@ -185,7 +185,7 @@ class CompressedStorage
return m_values[id];
}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar>())
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar>())
{
size_t k = 0;
size_t n = size();

2
Eigen/src/Sparse/DynamicSparseMatrix.h
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@ -208,7 +208,7 @@ class DynamicSparseMatrix
inline void finalize() {}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar>())
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar>())
{
for (int j=0; j<outerSize(); ++j)
m_data[j].prune(reference,epsilon);

4
Eigen/src/Sparse/SparseLDLT.h
View File

@ -94,7 +94,7 @@ class SparseLDLT
: m_flags(flags), m_status(0)
{
ei_assert((MatrixType::Flags&RowMajorBit)==0);
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
}
/** Creates a LDLT object and compute the respective factorization of \a matrix using
@ -103,7 +103,7 @@ class SparseLDLT
: m_matrix(matrix.rows(), matrix.cols()), m_flags(flags), m_status(0)
{
ei_assert((MatrixType::Flags&RowMajorBit)==0);
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
compute(matrix);
}

4
Eigen/src/Sparse/SparseLLT.h
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@ -54,7 +54,7 @@ class SparseLLT
SparseLLT(int flags = 0)
: m_flags(flags), m_status(0)
{
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
}
/** Creates a LLT object and compute the respective factorization of \a matrix using
@ -62,7 +62,7 @@ class SparseLLT
SparseLLT(const MatrixType& matrix, int flags = 0)
: m_matrix(matrix.rows(), matrix.cols()), m_flags(flags), m_status(0)
{
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
compute(matrix);
}

4
Eigen/src/Sparse/SparseLU.h
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@ -59,7 +59,7 @@ class SparseLU
SparseLU(int flags = 0)
: m_flags(flags), m_status(0)
{
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
}
/** Creates a LU object and compute the respective factorization of \a matrix using
@ -67,7 +67,7 @@ class SparseLU
SparseLU(const MatrixType& matrix, int flags = 0)
: /*m_matrix(matrix.rows(), matrix.cols()),*/ m_flags(flags), m_status(0)
{
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar>();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar>();
compute(matrix);
}

2
Eigen/src/Sparse/SparseMatrix.h
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@ -341,7 +341,7 @@ class SparseMatrix
}
}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar>())
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar>())
{
int k = 0;
for (int j=0; j<m_outerSize; ++j)

26
Eigen/src/Sparse/SparseMatrixBase.h
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@ -467,32 +467,32 @@ template<typename Derived> class SparseMatrixBase : public AnyMatrixBase<Derived
template<typename OtherDerived>
bool isApprox(const SparseMatrixBase<OtherDerived>& other,
RealScalar prec = precision<Scalar>()) const
RealScalar prec = dummy_precision<Scalar>()) const
{ return toDense().isApprox(other.toDense(),prec); }
template<typename OtherDerived>
bool isApprox(const MatrixBase<OtherDerived>& other,
RealScalar prec = precision<Scalar>()) const
RealScalar prec = dummy_precision<Scalar>()) const
{ return toDense().isApprox(other,prec); }
// bool isMuchSmallerThan(const RealScalar& other,
// RealScalar prec = precision<Scalar>()) const;
// RealScalar prec = dummy_precision<Scalar>()) const;
// template<typename OtherDerived>
// bool isMuchSmallerThan(const MatrixBase<OtherDerived>& other,
// RealScalar prec = precision<Scalar>()) const;
// RealScalar prec = dummy_precision<Scalar>()) const;
// bool isApproxToConstant(const Scalar& value, RealScalar prec = precision<Scalar>()) const;
// bool isZero(RealScalar prec = precision<Scalar>()) const;
// bool isOnes(RealScalar prec = precision<Scalar>()) const;
// bool isIdentity(RealScalar prec = precision<Scalar>()) const;
// bool isDiagonal(RealScalar prec = precision<Scalar>()) const;
// bool isApproxToConstant(const Scalar& value, RealScalar prec = dummy_precision<Scalar>()) const;
// bool isZero(RealScalar prec = dummy_precision<Scalar>()) const;
// bool isOnes(RealScalar prec = dummy_precision<Scalar>()) const;
// bool isIdentity(RealScalar prec = dummy_precision<Scalar>()) const;
// bool isDiagonal(RealScalar prec = dummy_precision<Scalar>()) const;
// bool isUpperTriangular(RealScalar prec = precision<Scalar>()) const;
// bool isLowerTriangular(RealScalar prec = precision<Scalar>()) const;
// bool isUpperTriangular(RealScalar prec = dummy_precision<Scalar>()) const;
// bool isLowerTriangular(RealScalar prec = dummy_precision<Scalar>()) const;
// template<typename OtherDerived>
// bool isOrthogonal(const MatrixBase<OtherDerived>& other,
// RealScalar prec = precision<Scalar>()) const;
// bool isUnitary(RealScalar prec = precision<Scalar>()) const;
// RealScalar prec = dummy_precision<Scalar>()) const;
// bool isUnitary(RealScalar prec = dummy_precision<Scalar>()) const;
// template<typename OtherDerived>
// inline bool operator==(const MatrixBase<OtherDerived>& other) const

2
Eigen/src/Sparse/SparseVector.h
View File

@ -201,7 +201,7 @@ class SparseVector
EIGEN_DEPRECATED void endFill() {}
inline void finalize() {}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar>())
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar>())
{
m_data.prune(reference,epsilon);
}

2
test/product.h
View File

@ -27,7 +27,7 @@
#include <Eigen/QR>
template<typename Derived1, typename Derived2>
bool areNotApprox(const MatrixBase<Derived1>& m1, const MatrixBase<Derived2>& m2, typename Derived1::RealScalar epsilon = precision<typename Derived1::RealScalar>())
bool areNotApprox(const MatrixBase<Derived1>& m1, const MatrixBase<Derived2>& m2, typename Derived1::RealScalar epsilon = dummy_precision<typename Derived1::RealScalar>())
{
return !((m1-m2).cwise().abs2().maxCoeff() < epsilon * epsilon
* std::max(m1.cwise().abs2().maxCoeff(), m2.cwise().abs2().maxCoeff()));

2
unsupported/Eigen/AlignedVector3
View File

@ -188,7 +188,7 @@ template<typename _Scalar> class AlignedVector3
}
template<typename Derived>
inline bool isApprox(const MatrixBase<Derived>& other, RealScalar eps=precision<Scalar>()) const
inline bool isApprox(const MatrixBase<Derived>& other, RealScalar eps=dummy_precision<Scalar>()) const
{
return m_coeffs.template start<3>().isApprox(other,eps);
}

2
unsupported/Eigen/src/Skyline/SkylineInplaceLU.h
View File

@ -46,7 +46,7 @@ public:
* flags \a flags. */
SkylineInplaceLU(MatrixType& matrix, int flags = 0)
: /*m_matrix(matrix.rows(), matrix.cols()),*/ m_flags(flags), m_status(0), m_lu(matrix) {
m_precision = RealScalar(0.1) * Eigen::precision<RealScalar > ();
m_precision = RealScalar(0.1) * Eigen::dummy_precision<RealScalar > ();
m_lu.IsRowMajor ? computeRowMajor() : compute();
}

2
unsupported/Eigen/src/Skyline/SkylineMatrix.h
View File

@ -589,7 +589,7 @@ public:
m_data.squeeze();
}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar > ()) {
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar > ()) {
//TODO
}

2
unsupported/Eigen/src/Skyline/SkylineStorage.h
View File

@ -206,7 +206,7 @@ public:
memset(m_lowerProfile, 0, m_diagSize * sizeof (int));
}
void prune(Scalar reference, RealScalar epsilon = precision<RealScalar>()) {
void prune(Scalar reference, RealScalar epsilon = dummy_precision<RealScalar>()) {
//TODO
}