1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_SCALING_H
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_SCALING_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \geometry_module \ingroup Geometry_Module
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \class Scaling
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Represents a generic uniform scaling transformation
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param _Scalar the scalar type, i.e., the type of the coefficients.
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represent a uniform scaling transformation. It is the return
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * type of Scaling(Scalar), and most of the time this is the only way it
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * is used. In particular, this class is not aimed to be used to store a scaling transformation,
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * but rather to make easier the constructions and updates of Transform objects.
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * To represent an axis aligned scaling, use the DiagonalMatrix class.
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa Scaling(), class DiagonalMatrix, MatrixBase::asDiagonal(), class Translation, class Transform
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename _Scalar>
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass UniformScaling
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathpublic:
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** the scalar type of the coefficients */
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef _Scalar Scalar;
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathprotected:
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar m_factor;
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathpublic:
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Default constructor without initialization. */
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  UniformScaling() {}
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Constructs and initialize a uniform scaling transformation */
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  explicit inline UniformScaling(const Scalar& s) : m_factor(s) {}
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline const Scalar& factor() const { return m_factor; }
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline Scalar& factor() { return m_factor; }
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Concatenates two uniform scaling */
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline UniformScaling operator* (const UniformScaling& other) const
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return UniformScaling(m_factor * other.factor()); }
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Concatenates a uniform scaling and a translation */
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<int Dim>
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline Transform<Scalar,Dim,Affine> operator* (const Translation<Scalar,Dim>& t) const;
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Concatenates a uniform scaling and an affine transformation */
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<int Dim, int Mode, int Options>
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> operator* (const Transform<Scalar,Dim, Mode, Options>& t) const
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> res = t;
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   res.prescale(factor());
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   return res;
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Concatenates a uniform scaling and a linear transformation matrix */
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // TODO returns an expression
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<typename Derived>
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline typename internal::plain_matrix_type<Derived>::type operator* (const MatrixBase<Derived>& other) const
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return other * m_factor; }
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<typename Derived,int Dim>
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline Matrix<Scalar,Dim,Dim> operator*(const RotationBase<Derived,Dim>& r) const
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return r.toRotationMatrix() * m_factor; }
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** \returns the inverse scaling */
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline UniformScaling inverse() const
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return UniformScaling(Scalar(1)/m_factor); }
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** \returns \c *this with scalar type casted to \a NewScalarType
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    *
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    * then this function smartly returns a const reference to \c *this.
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    */
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<typename NewScalarType>
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline UniformScaling<NewScalarType> cast() const
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return UniformScaling<NewScalarType>(NewScalarType(m_factor)); }
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** Copy constructor with scalar type conversion */
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template<typename OtherScalarType>
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline explicit UniformScaling(const UniformScaling<OtherScalarType>& other)
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { m_factor = Scalar(other.factor()); }
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    * determined by \a prec.
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    *
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    * \sa MatrixBase::isApprox() */
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  bool isApprox(const UniformScaling& other, typename NumTraits<Scalar>::Real prec = NumTraits<Scalar>::dummy_precision()) const
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  { return internal::isApprox(m_factor, other.factor(), prec); }
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Concatenates a linear transformation matrix and a uniform scaling */
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// NOTE this operator is defiend in MatrixBase and not as a friend function
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// of UniformScaling to fix an internal crash of Intel's ICC
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived> typename MatrixBase<Derived>::ScalarMultipleReturnType
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::operator*(const UniformScaling<Scalar>& s) const
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ return derived() * s.factor(); }
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs a uniform scaling from scale factor \a s */
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline UniformScaling<float> Scaling(float s) { return UniformScaling<float>(s); }
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs a uniform scaling from scale factor \a s */
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline UniformScaling<double> Scaling(double s) { return UniformScaling<double>(s); }
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs a uniform scaling from scale factor \a s */
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename RealScalar>
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline UniformScaling<std::complex<RealScalar> > Scaling(const std::complex<RealScalar>& s)
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ return UniformScaling<std::complex<RealScalar> >(s); }
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs a 2D axis aligned scaling */
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline DiagonalMatrix<Scalar,2> Scaling(Scalar sx, Scalar sy)
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ return DiagonalMatrix<Scalar,2>(sx, sy); }
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs a 3D axis aligned scaling */
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline DiagonalMatrix<Scalar,3> Scaling(Scalar sx, Scalar sy, Scalar sz)
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ return DiagonalMatrix<Scalar,3>(sx, sy, sz); }
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** Constructs an axis aligned scaling expression from vector expression \a coeffs
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This is an alias for coeffs.asDiagonal()
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstatic inline const DiagonalWrapper<const Derived> Scaling(const MatrixBase<Derived>& coeffs)
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ return coeffs.asDiagonal(); }
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \addtogroup Geometry_Module */
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//@{
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \deprecated */
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtypedef DiagonalMatrix<float, 2> AlignedScaling2f;
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \deprecated */
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtypedef DiagonalMatrix<double,2> AlignedScaling2d;
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \deprecated */
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtypedef DiagonalMatrix<float, 3> AlignedScaling3f;
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \deprecated */
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtypedef DiagonalMatrix<double,3> AlignedScaling3d;
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//@}
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar>
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<int Dim>
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline Transform<Scalar,Dim,Affine>
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathUniformScaling<Scalar>::operator* (const Translation<Scalar,Dim>& t) const
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Transform<Scalar,Dim,Affine> res;
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  res.matrix().setZero();
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  res.linear().diagonal().fill(factor());
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  res.translation() = factor() * t.vector();
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  res(Dim,Dim) = Scalar(1);
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return res;
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_SCALING_H
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