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Currently only the following platform/operations are supported: - SSE2 compatible architecture - compiler compatible with intel's SSE2 intrinsics - float, double and int data types - fixed size matrices with a storage major dimension multiple of 4 (or 2 for double) - scalar-matrix product, component wise: +,-,*,min,max - matrix-matrix product only if the left matrix is vectorizable and column major or the right matrix is vectorizable and row major, e.g.: a.transpose() * b is not vectorized with the default column major storage. To use it you must define EIGEN_VECTORIZE and EIGEN_INTEL_PLATFORM.
174 lines
5.3 KiB
C++
174 lines
5.3 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ZERO_H
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#define EIGEN_ZERO_H
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/** \class Zero
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*
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* \brief Expression of a zero matrix or vector.
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*
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* \sa MatrixBase::zero(), MatrixBase::zero(int), MatrixBase::zero(int,int),
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* MatrixBase::setZero(), MatrixBase::isZero()
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*/
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template<typename MatrixType>
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struct ei_traits<Zero<MatrixType> >
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{
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typedef typename MatrixType::Scalar Scalar;
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enum {
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RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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ColsAtCompileTime = MatrixType::ColsAtCompileTime,
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MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
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MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
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Flags = MatrixType::Flags & ~VectorizableBit,
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CoeffReadCost = NumTraits<Scalar>::ReadCost
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};
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};
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template<typename MatrixType> class Zero : ei_no_assignment_operator,
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public MatrixBase<Zero<MatrixType> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(Zero)
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private:
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int _rows() const { return m_rows.value(); }
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int _cols() const { return m_cols.value(); }
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Scalar _coeff(int, int) const
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{
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return static_cast<Scalar>(0);
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}
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public:
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Zero(int rows, int cols) : m_rows(rows), m_cols(cols)
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{
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ei_assert(rows > 0
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&& (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
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&& cols > 0
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&& (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols));
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}
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protected:
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const ei_int_if_dynamic<RowsAtCompileTime> m_rows;
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const ei_int_if_dynamic<ColsAtCompileTime> m_cols;
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};
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/** \returns an expression of a zero matrix.
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*
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* The parameters \a rows and \a cols are the number of rows and of columns of
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* the returned matrix. Must be compatible with this MatrixBase type.
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*
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* This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
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* it is redundant to pass \a rows and \a cols as arguments, so zero() should be used
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* instead.
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*
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* Example: \include MatrixBase_zero_int_int.cpp
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* Output: \verbinclude MatrixBase_zero_int_int.out
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*
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* \sa zero(), zero(int)
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*/
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template<typename Derived>
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const Zero<Derived> MatrixBase<Derived>::zero(int rows, int cols)
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{
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return Zero<Derived>(rows, cols);
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}
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/** \returns an expression of a zero vector.
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*
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* The parameter \a size is the size of the returned vector.
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* Must be compatible with this MatrixBase type.
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*
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* \only_for_vectors
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*
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* This variant is meant to be used for dynamic-size vector types. For fixed-size types,
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* it is redundant to pass \a size as argument, so zero() should be used
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* instead.
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*
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* Example: \include MatrixBase_zero_int.cpp
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* Output: \verbinclude MatrixBase_zero_int.out
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*
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* \sa zero(), zero(int,int)
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*/
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template<typename Derived>
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const Zero<Derived> MatrixBase<Derived>::zero(int size)
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{
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ei_assert(IsVectorAtCompileTime);
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if(RowsAtCompileTime == 1) return Zero<Derived>(1, size);
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else return Zero<Derived>(size, 1);
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}
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/** \returns an expression of a fixed-size zero matrix or vector.
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*
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* This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
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* need to use the variants taking size arguments.
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*
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* Example: \include MatrixBase_zero.cpp
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* Output: \verbinclude MatrixBase_zero.out
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*
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* \sa zero(int), zero(int,int)
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*/
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template<typename Derived>
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const Zero<Derived> MatrixBase<Derived>::zero()
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{
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return Zero<Derived>(RowsAtCompileTime, ColsAtCompileTime);
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}
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/** \returns true if *this is approximately equal to the zero matrix,
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* within the precision given by \a prec.
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*
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* Example: \include MatrixBase_isZero.cpp
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* Output: \verbinclude MatrixBase_isZero.out
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*
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* \sa class Zero, zero()
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*/
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template<typename Derived>
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bool MatrixBase<Derived>::isZero
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(typename NumTraits<Scalar>::Real prec) const
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{
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for(int j = 0; j < cols(); j++)
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for(int i = 0; i < rows(); i++)
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if(!ei_isMuchSmallerThan(coeff(i, j), static_cast<Scalar>(1), prec))
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return false;
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return true;
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}
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/** Sets all coefficients in this expression to zero.
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*
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* Example: \include MatrixBase_setZero.cpp
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* Output: \verbinclude MatrixBase_setZero.out
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*
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* \sa class Zero, zero()
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*/
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template<typename Derived>
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Derived& MatrixBase<Derived>::setZero()
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{
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return *this = Zero<Derived>(rows(), cols());
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}
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#endif // EIGEN_ZERO_H
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