#ifndef Magnum_Math_Matrix_h #define Magnum_Math_Matrix_h /* This file is part of Magnum. Copyright © 2010, 2011, 2012, 2013, 2014, 2015, 2016 Vladimír Vondruš Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ /** @file * @brief Class @ref Magnum::Math::Matrix, typedef @ref Magnum::Math::Matrix2x2, @ref Magnum::Math::Matrix3x3, @ref Magnum::Math::Matrix4x4 */ #include "Magnum/Math/RectangularMatrix.h" namespace Magnum { namespace Math { namespace Implementation { template struct MatrixDeterminant; } /** @brief Square matrix @tparam size Matrix size @tparam T Data type See @ref matrix-vector for brief introduction. @configurationvalueref{Magnum::Math::Matrix} @see @ref Matrix2x2, @ref Matrix3x3, @ref Matrix4x4 */ template class Matrix: public RectangularMatrix { public: enum: std::size_t { Size = size /**< Matrix size */ }; #ifdef MAGNUM_BUILD_DEPRECATED /** * @brief Pass to constructor to create zero-filled matrix * @deprecated Use @ref ZeroInitT and @ref ZeroInit instead. */ #ifdef DOXYGEN_GENERATING_OUTPUT enum ZeroType { Zero }; #else CORRADE_DEPRECATED("use Math::ZeroInitT instead") typedef ZeroInitT ZeroType; CORRADE_DEPRECATED("use Math::ZeroInit instead") constexpr static ZeroInitT Zero{ZeroInitT::Init{}}; #endif /** * @brief Pass to constructor to create identity matrix * @deprecated Use @ref IdentityInitT and @ref IdentityInit instead. */ #ifdef DOXYGEN_GENERATING_OUTPUT enum IdentityType { Identity }; #else CORRADE_DEPRECATED("use Math::IdentityInitT instead") typedef IdentityInitT IdentityType; CORRADE_DEPRECATED("use Math::IdentityInit instead") constexpr static IdentityInitT Identity{IdentityInitT::Init{}}; #endif #endif /** * @brief Default constructor * * Creates identity matrix. @p value allows you to specify value on * diagonal. */ constexpr /*implicit*/ Matrix(IdentityInitT = IdentityInit, T value = T(1)) /** @todoc remove workaround when doxygen is sane */ #ifndef DOXYGEN_GENERATING_OUTPUT /* MSVC 2015 can't handle {} here */ : RectangularMatrix(typename Implementation::GenerateSequence::Type(), Vector(value)) #endif {} /** @copydoc RectangularMatrix::RectangularMatrix(ZeroInitT) */ constexpr explicit Matrix(ZeroInitT) /** @todoc remove workaround when doxygen is sane */ #ifndef DOXYGEN_GENERATING_OUTPUT /* MSVC 2015 can't handle {} here */ : RectangularMatrix(ZeroInit) #endif {} /** @copydoc RectangularMatrix::RectangularMatrix(NoInitT) */ constexpr explicit Matrix(NoInitT) /** @todoc remove workaround when doxygen is sane */ #ifndef DOXYGEN_GENERATING_OUTPUT /* MSVC 2015 can't handle {} here */ : RectangularMatrix(NoInit) #endif {} /** * @brief Matrix from column vectors * @param first First column vector * @param next Next column vectors */ template constexpr /*implicit*/ Matrix(const Vector& first, const U&... next): RectangularMatrix(first, next...) {} /** * @brief Construct matrix from another of different type * * Performs only default casting on the values, no rounding or * anything else. Example usage: * @code * Matrix2x2 floatingPoint({1.3f, 2.7f}, * {-15.0f, 7.0f}); * Matrix2x2 integral(floatingPoint); * // integral == {{1, 2}, {-15, 7}} * @endcode */ template constexpr explicit Matrix(const RectangularMatrix& other): RectangularMatrix(other) {} /** @brief Construct matrix from external representation */ template::from(std::declval()))> constexpr explicit Matrix(const U& other): RectangularMatrix(Implementation::RectangularMatrixConverter::from(other)) {} /** @brief Copy constructor */ constexpr Matrix(const RectangularMatrix& other): RectangularMatrix(other) {} /** * @brief Whether the matrix is orthogonal * * The matrix is orthogonal if its transpose is equal to its inverse: @f[ * Q^T = Q^{-1} * @f] * @see @ref transposed(), @ref inverted(), * @ref Matrix3::isRigidTransformation(), * @ref Matrix4::isRigidTransformation() */ bool isOrthogonal() const; /** * @brief Trace of the matrix * * @f[ * tr(A) = \sum_{i=1}^n a_{i,i} * @f] */ T trace() const { return RectangularMatrix::diagonal().sum(); } /** @brief Matrix without given column and row */ Matrix ij(std::size_t skipCol, std::size_t skipRow) const; /** * @brief Determinant * * Computed recursively using Laplace's formula: @f[ * \det(A) = \sum_{j=1}^n (-1)^{i+j} a_{i,j} \det(A^{i,j}) * @f] @f$ A^{i, j} @f$ is matrix without i-th row and j-th column, see * @ref ij(). The formula is expanded down to 2x2 matrix, where the * determinant is computed directly: @f[ * \det(A) = a_{0, 0} a_{1, 1} - a_{1, 0} a_{0, 1} * @f] */ T determinant() const { return Implementation::MatrixDeterminant()(*this); } /** * @brief Inverted matrix * * Computed using Cramer's rule: @f[ * A^{-1} = \frac{1}{\det(A)} Adj(A) * @f] * See @ref invertedOrthogonal(), @ref Matrix3::invertedRigid() and * @ref Matrix4::invertedRigid() which are faster alternatives for * particular matrix types. */ Matrix inverted() const; /** * @brief Inverted orthogonal matrix * * Equivalent to @ref transposed(), expects that the matrix is * orthogonal. @f[ * A^{-1} = A^T * @f] * @see @ref inverted(), @ref isOrthogonal(), * @ref Matrix3::invertedRigid(), * @ref Matrix4::invertedRigid() */ Matrix invertedOrthogonal() const { CORRADE_ASSERT(isOrthogonal(), "Math::Matrix::invertedOrthogonal(): the matrix is not orthogonal", {}); return RectangularMatrix::transposed(); } #ifndef DOXYGEN_GENERATING_OUTPUT /* Reimplementation of functions to return correct type */ Matrix operator*(const Matrix& other) const { return RectangularMatrix::operator*(other); } template RectangularMatrix operator*(const RectangularMatrix& other) const { return RectangularMatrix::operator*(other); } Vector operator*(const Vector& other) const { return RectangularMatrix::operator*(other); } MAGNUM_RECTANGULARMATRIX_SUBCLASS_IMPLEMENTATION(size, size, Matrix) #endif }; /** @brief 2x2 matrix Convenience alternative to `Matrix<2, T>`. See @ref Matrix for more information. @see @ref Magnum::Matrix2x2, @ref Magnum::Matrix2x2d */ #ifndef CORRADE_MSVC2015_COMPATIBILITY /* Multiple definitions still broken */ template using Matrix2x2 = Matrix<2, T>; #endif /** @brief 3x3 matrix Convenience alternative to `Matrix<3, T>`. See @ref Matrix for more information. Note that this is different from @ref Matrix3, which contains additional functions for transformations in 2D. @see @ref Magnum::Matrix3x3, @ref Magnum::Matrix3x3d */ #ifndef CORRADE_MSVC2015_COMPATIBILITY /* Multiple definitions still broken */ template using Matrix3x3 = Matrix<3, T>; #endif /** @brief 4x4 matrix Convenience alternative to `Matrix<4, T>`. See @ref Matrix for more information. Note that this is different from @ref Matrix4, which contains additional functions for transformations in 3D. @see @ref Magnum::Matrix4x4, @ref Magnum::Matrix4x4d */ #ifndef CORRADE_MSVC2015_COMPATIBILITY /* Multiple definitions still broken */ template using Matrix4x4 = Matrix<4, T>; #endif MAGNUM_MATRIX_OPERATOR_IMPLEMENTATION(Matrix) /** @debugoperator{Magnum::Math::Matrix} */ template inline Corrade::Utility::Debug& operator<<(Corrade::Utility::Debug& debug, const Matrix& value) { return debug << static_cast&>(value); } #ifndef DOXYGEN_GENERATING_OUTPUT #define MAGNUM_MATRIX_SUBCLASS_IMPLEMENTATION(size, Type, VectorType) \ VectorType& operator[](std::size_t col) { \ return static_cast&>(Matrix::operator[](col)); \ } \ constexpr const VectorType operator[](std::size_t col) const { \ return VectorType(Matrix::operator[](col)); \ } \ VectorType row(std::size_t row) const { \ return VectorType(Matrix::row(row)); \ } \ \ Type operator*(const Matrix& other) const { \ return Matrix::operator*(other); \ } \ template RectangularMatrix operator*(const RectangularMatrix& other) const { \ return Matrix::operator*(other); \ } \ VectorType operator*(const Vector& other) const { \ return Matrix::operator*(other); \ } \ \ Type transposed() const { return Matrix::transposed(); } \ constexpr VectorType diagonal() const { return Matrix::diagonal(); } \ Type inverted() const { return Matrix::inverted(); } \ Type invertedOrthogonal() const { \ return Matrix::invertedOrthogonal(); \ } namespace Implementation { template struct MatrixDeterminant { T operator()(const Matrix& m); }; template T MatrixDeterminant::operator()(const Matrix& m) { T out(0); for(std::size_t col = 0; col != size; ++col) out += ((col & 1) ? -1 : 1)*m[col][0]*m.ij(col, 0).determinant(); return out; } template struct MatrixDeterminant<2, T> { constexpr T operator()(const Matrix<2, T>& m) const { return m[0][0]*m[1][1] - m[1][0]*m[0][1]; } }; template struct MatrixDeterminant<1, T> { constexpr T operator()(const Matrix<1, T>& m) const { return m[0][0]; } }; } #endif template bool Matrix::isOrthogonal() const { /* Normality */ for(std::size_t i = 0; i != size; ++i) if(!(*this)[i].isNormalized()) return false; /* Orthogonality */ for(std::size_t i = 0; i != size-1; ++i) for(std::size_t j = i+1; j != size; ++j) if(dot((*this)[i], (*this)[j]) > TypeTraits::epsilon()) return false; return true; } template Matrix Matrix::ij(const std::size_t skipCol, const std::size_t skipRow) const { Matrix out{ZeroInit}; for(std::size_t col = 0; col != size-1; ++col) for(std::size_t row = 0; row != size-1; ++row) out[col][row] = (*this)[col + (col >= skipCol)] [row + (row >= skipRow)]; return out; } template Matrix Matrix::inverted() const { Matrix out{ZeroInit}; const T _determinant = determinant(); for(std::size_t col = 0; col != size; ++col) for(std::size_t row = 0; row != size; ++row) out[col][row] = (((row+col) & 1) ? -1 : 1)*ij(row, col).determinant()/_determinant; return out; } }} namespace Corrade { namespace Utility { /** @configurationvalue{Magnum::Math::Matrix} */ template struct ConfigurationValue>: public ConfigurationValue> {}; }} #endif