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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
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// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#ifndef EIGEN_DENSEBASE_H
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#define EIGEN_DENSEBASE_H
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namespace Eigen {
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namespace internal {
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// The index type defined by EIGEN_DEFAULT_DENSE_INDEX_TYPE must be a signed type.
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// This dummy function simply aims at checking that at compile time.
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static inline void check_DenseIndex_is_signed() {
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EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
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}
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} // end namespace internal
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/** \class DenseBase
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* \ingroup Core_Module
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*
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* \brief Base class for all dense matrices, vectors, and arrays
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*
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* This class is the base that is inherited by all dense objects (matrix, vector, arrays,
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* and related expression types). The common Eigen API for dense objects is contained in this class.
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*
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* \tparam Derived is the derived type, e.g., a matrix type or an expression.
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*
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* This class can be extended with the help of the plugin mechanism described on the page
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* \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN.
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*
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* \sa \ref TopicClassHierarchy
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*/
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template<typename Derived> class DenseBase
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#ifndef EIGEN_PARSED_BY_DOXYGEN
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: public internal::special_scalar_op_base<Derived, typename internal::traits<Derived>::Scalar,
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typename NumTraits<typename internal::traits<Derived>::Scalar>::Real,
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DenseCoeffsBase<Derived> >
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#else
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: public DenseCoeffsBase<Derived>
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#endif // not EIGEN_PARSED_BY_DOXYGEN
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{
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public:
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class InnerIterator;
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typedef typename internal::traits<Derived>::StorageKind StorageKind;
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/** \brief The type of indices
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* \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
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* \sa \ref TopicPreprocessorDirectives.
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*/
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typedef typename internal::traits<Derived>::Index Index;
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typedef typename internal::traits<Derived>::Scalar Scalar;
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typedef typename internal::packet_traits<Scalar>::type PacketScalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef internal::special_scalar_op_base<Derived,Scalar,RealScalar, DenseCoeffsBase<Derived> > Base;
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using Base::operator*;
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using Base::derived;
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using Base::const_cast_derived;
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using Base::rows;
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using Base::cols;
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using Base::size;
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using Base::rowIndexByOuterInner;
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using Base::colIndexByOuterInner;
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using Base::coeff;
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using Base::coeffByOuterInner;
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using Base::packet;
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using Base::packetByOuterInner;
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using Base::writePacket;
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using Base::writePacketByOuterInner;
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using Base::coeffRef;
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using Base::coeffRefByOuterInner;
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using Base::copyCoeff;
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using Base::copyCoeffByOuterInner;
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using Base::copyPacket;
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using Base::copyPacketByOuterInner;
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using Base::operator();
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using Base::operator[];
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using Base::x;
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using Base::y;
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using Base::z;
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using Base::w;
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using Base::stride;
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using Base::innerStride;
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using Base::outerStride;
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using Base::rowStride;
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using Base::colStride;
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typedef typename Base::CoeffReturnType CoeffReturnType;
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enum {
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RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
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/**< The number of rows at compile-time. This is just a copy of the value provided
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* by the \a Derived type. If a value is not known at compile-time,
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* it is set to the \a Dynamic constant.
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* \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
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ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
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/**< The number of columns at compile-time. This is just a copy of the value provided
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* by the \a Derived type. If a value is not known at compile-time,
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* it is set to the \a Dynamic constant.
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* \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
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SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
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internal::traits<Derived>::ColsAtCompileTime>::ret),
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/**< This is equal to the number of coefficients, i.e. the number of
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* rows times the number of columns, or to \a Dynamic if this is not
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* known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
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MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
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/**< This value is equal to the maximum possible number of rows that this expression
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* might have. If this expression might have an arbitrarily high number of rows,
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* this value is set to \a Dynamic.
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*
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* This value is useful to know when evaluating an expression, in order to determine
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* whether it is possible to avoid doing a dynamic memory allocation.
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*
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* \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
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*/
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MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
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/**< This value is equal to the maximum possible number of columns that this expression
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* might have. If this expression might have an arbitrarily high number of columns,
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* this value is set to \a Dynamic.
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*
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* This value is useful to know when evaluating an expression, in order to determine
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* whether it is possible to avoid doing a dynamic memory allocation.
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*
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* \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
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*/
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MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
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internal::traits<Derived>::MaxColsAtCompileTime>::ret),
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/**< This value is equal to the maximum possible number of coefficients that this expression
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* might have. If this expression might have an arbitrarily high number of coefficients,
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* this value is set to \a Dynamic.
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*
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* This value is useful to know when evaluating an expression, in order to determine
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* whether it is possible to avoid doing a dynamic memory allocation.
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*
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* \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
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*/
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IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
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|| internal::traits<Derived>::MaxColsAtCompileTime == 1,
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/**< This is set to true if either the number of rows or the number of
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* columns is known at compile-time to be equal to 1. Indeed, in that case,
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* we are dealing with a column-vector (if there is only one column) or with
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* a row-vector (if there is only one row). */
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Flags = internal::traits<Derived>::Flags,
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/**< This stores expression \ref flags flags which may or may not be inherited by new expressions
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* constructed from this one. See the \ref flags "list of flags".
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*/
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IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */
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InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
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: int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
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CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
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/**< This is a rough measure of how expensive it is to read one coefficient from
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* this expression.
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*/
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InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
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OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
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};
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enum { ThisConstantIsPrivateInPlainObjectBase };
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/** \returns the number of nonzero coefficients which is in practice the number
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* of stored coefficients. */
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inline Index nonZeros() const { return size(); }
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/** \returns the outer size.
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*
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* \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension
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* with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a
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191
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* column-major matrix, and the number of rows for a row-major matrix. */
|
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192
|
Index outerSize() const
|
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|
193
|
{
|
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194
|
return IsVectorAtCompileTime ? 1
|
| ykuroda |
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195
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: int(IsRowMajor) ? this->rows() : this->cols();
|
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196
|
}
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197
|
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| ykuroda |
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198
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/** \returns the inner size.
|
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199
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*
|
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200
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* \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension
|
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201
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* with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a
|
| ykuroda |
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202
|
* column-major matrix, and the number of columns for a row-major matrix. */
|
| ykuroda |
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203
|
Index innerSize() const
|
| ykuroda |
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204
|
{
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205
|
return IsVectorAtCompileTime ? this->size()
|
| ykuroda |
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|
206
|
: int(IsRowMajor) ? this->cols() : this->rows();
|
| ykuroda |
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207
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}
|
| ykuroda |
0:13a5d365ba16
|
208
|
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| ykuroda |
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209
|
/** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
|
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210
|
* Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
|
| ykuroda |
0:13a5d365ba16
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211
|
* nothing else.
|
| ykuroda |
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|
212
|
*/
|
| ykuroda |
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213
|
void resize(Index newSize)
|
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214
|
{
|
| ykuroda |
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|
215
|
EIGEN_ONLY_USED_FOR_DEBUG(newSize);
|
| ykuroda |
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216
|
eigen_assert(newSize == this->size()
|
| ykuroda |
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217
|
&& "DenseBase::resize() does not actually allow to resize.");
|
| ykuroda |
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|
218
|
}
|
| ykuroda |
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|
219
|
/** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
|
| ykuroda |
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|
220
|
* Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
|
| ykuroda |
0:13a5d365ba16
|
221
|
* nothing else.
|
| ykuroda |
0:13a5d365ba16
|
222
|
*/
|
| ykuroda |
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|
223
|
void resize(Index nbRows, Index nbCols)
|
| ykuroda |
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|
224
|
{
|
| ykuroda |
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|
225
|
EIGEN_ONLY_USED_FOR_DEBUG(nbRows);
|
| ykuroda |
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|
226
|
EIGEN_ONLY_USED_FOR_DEBUG(nbCols);
|
| ykuroda |
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|
227
|
eigen_assert(nbRows == this->rows() && nbCols == this->cols()
|
| ykuroda |
0:13a5d365ba16
|
228
|
&& "DenseBase::resize() does not actually allow to resize.");
|
| ykuroda |
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|
229
|
}
|
| ykuroda |
0:13a5d365ba16
|
230
|
|
| ykuroda |
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|
231
|
#ifndef EIGEN_PARSED_BY_DOXYGEN
|
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0:13a5d365ba16
|
232
|
|
| ykuroda |
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|
233
|
/** \internal Represents a matrix with all coefficients equal to one another*/
|
| ykuroda |
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234
|
typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
|
| ykuroda |
0:13a5d365ba16
|
235
|
/** \internal Represents a vector with linearly spaced coefficients that allows sequential access only. */
|
| ykuroda |
0:13a5d365ba16
|
236
|
typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType;
|
| ykuroda |
0:13a5d365ba16
|
237
|
/** \internal Represents a vector with linearly spaced coefficients that allows random access. */
|
| ykuroda |
0:13a5d365ba16
|
238
|
typedef CwiseNullaryOp<internal::linspaced_op<Scalar,true>,Derived> RandomAccessLinSpacedReturnType;
|
| ykuroda |
0:13a5d365ba16
|
239
|
/** \internal the return type of MatrixBase::eigenvalues() */
|
| ykuroda |
0:13a5d365ba16
|
240
|
typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
|
| ykuroda |
0:13a5d365ba16
|
241
|
|
| ykuroda |
0:13a5d365ba16
|
242
|
#endif // not EIGEN_PARSED_BY_DOXYGEN
|
| ykuroda |
0:13a5d365ba16
|
243
|
|
| ykuroda |
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|
244
|
/** Copies \a other into *this. \returns a reference to *this. */
|
| ykuroda |
0:13a5d365ba16
|
245
|
template<typename OtherDerived>
|
| ykuroda |
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|
246
|
Derived& operator=(const DenseBase<OtherDerived>& other);
|
| ykuroda |
0:13a5d365ba16
|
247
|
|
| ykuroda |
0:13a5d365ba16
|
248
|
/** Special case of the template operator=, in order to prevent the compiler
|
| ykuroda |
0:13a5d365ba16
|
249
|
* from generating a default operator= (issue hit with g++ 4.1)
|
| ykuroda |
0:13a5d365ba16
|
250
|
*/
|
| ykuroda |
0:13a5d365ba16
|
251
|
Derived& operator=(const DenseBase& other);
|
| ykuroda |
0:13a5d365ba16
|
252
|
|
| ykuroda |
0:13a5d365ba16
|
253
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
254
|
Derived& operator=(const EigenBase<OtherDerived> &other);
|
| ykuroda |
0:13a5d365ba16
|
255
|
|
| ykuroda |
0:13a5d365ba16
|
256
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
257
|
Derived& operator+=(const EigenBase<OtherDerived> &other);
|
| ykuroda |
0:13a5d365ba16
|
258
|
|
| ykuroda |
0:13a5d365ba16
|
259
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
260
|
Derived& operator-=(const EigenBase<OtherDerived> &other);
|
| ykuroda |
0:13a5d365ba16
|
261
|
|
| ykuroda |
0:13a5d365ba16
|
262
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
263
|
Derived& operator=(const ReturnByValue<OtherDerived>& func);
|
| ykuroda |
0:13a5d365ba16
|
264
|
|
| ykuroda |
0:13a5d365ba16
|
265
|
/** \internal Copies \a other into *this without evaluating other. \returns a reference to *this. */
|
| ykuroda |
0:13a5d365ba16
|
266
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
267
|
Derived& lazyAssign(const DenseBase<OtherDerived>& other);
|
| ykuroda |
0:13a5d365ba16
|
268
|
|
| ykuroda |
0:13a5d365ba16
|
269
|
/** \internal Evaluates \a other into *this. \returns a reference to *this. */
|
| ykuroda |
0:13a5d365ba16
|
270
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
271
|
Derived& lazyAssign(const ReturnByValue<OtherDerived>& other);
|
| ykuroda |
0:13a5d365ba16
|
272
|
|
| ykuroda |
0:13a5d365ba16
|
273
|
CommaInitializer<Derived> operator<< (const Scalar& s);
|
| ykuroda |
0:13a5d365ba16
|
274
|
|
| ykuroda |
0:13a5d365ba16
|
275
|
template<unsigned int Added,unsigned int Removed>
|
| ykuroda |
0:13a5d365ba16
|
276
|
const Flagged<Derived, Added, Removed> flagged() const;
|
| ykuroda |
0:13a5d365ba16
|
277
|
|
| ykuroda |
0:13a5d365ba16
|
278
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
279
|
CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other);
|
| ykuroda |
0:13a5d365ba16
|
280
|
|
| ykuroda |
0:13a5d365ba16
|
281
|
Eigen::Transpose<Derived> transpose();
|
| ykuroda |
0:13a5d365ba16
|
282
|
typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType;
|
| ykuroda |
0:13a5d365ba16
|
283
|
ConstTransposeReturnType transpose() const;
|
| ykuroda |
0:13a5d365ba16
|
284
|
void transposeInPlace();
|
| ykuroda |
0:13a5d365ba16
|
285
|
#ifndef EIGEN_NO_DEBUG
|
| ykuroda |
0:13a5d365ba16
|
286
|
protected:
|
| ykuroda |
0:13a5d365ba16
|
287
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
288
|
void checkTransposeAliasing(const OtherDerived& other) const;
|
| ykuroda |
0:13a5d365ba16
|
289
|
public:
|
| ykuroda |
0:13a5d365ba16
|
290
|
#endif
|
| ykuroda |
0:13a5d365ba16
|
291
|
|
| ykuroda |
0:13a5d365ba16
|
292
|
|
| ykuroda |
0:13a5d365ba16
|
293
|
static const ConstantReturnType
|
| ykuroda |
0:13a5d365ba16
|
294
|
Constant(Index rows, Index cols, const Scalar& value);
|
| ykuroda |
0:13a5d365ba16
|
295
|
static const ConstantReturnType
|
| ykuroda |
0:13a5d365ba16
|
296
|
Constant(Index size, const Scalar& value);
|
| ykuroda |
0:13a5d365ba16
|
297
|
static const ConstantReturnType
|
| ykuroda |
0:13a5d365ba16
|
298
|
Constant(const Scalar& value);
|
| ykuroda |
0:13a5d365ba16
|
299
|
|
| ykuroda |
0:13a5d365ba16
|
300
|
static const SequentialLinSpacedReturnType
|
| ykuroda |
0:13a5d365ba16
|
301
|
LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
302
|
static const RandomAccessLinSpacedReturnType
|
| ykuroda |
0:13a5d365ba16
|
303
|
LinSpaced(Index size, const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
304
|
static const SequentialLinSpacedReturnType
|
| ykuroda |
0:13a5d365ba16
|
305
|
LinSpaced(Sequential_t, const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
306
|
static const RandomAccessLinSpacedReturnType
|
| ykuroda |
0:13a5d365ba16
|
307
|
LinSpaced(const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
308
|
|
| ykuroda |
0:13a5d365ba16
|
309
|
template<typename CustomNullaryOp>
|
| ykuroda |
0:13a5d365ba16
|
310
|
static const CwiseNullaryOp<CustomNullaryOp, Derived>
|
| ykuroda |
0:13a5d365ba16
|
311
|
NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func);
|
| ykuroda |
0:13a5d365ba16
|
312
|
template<typename CustomNullaryOp>
|
| ykuroda |
0:13a5d365ba16
|
313
|
static const CwiseNullaryOp<CustomNullaryOp, Derived>
|
| ykuroda |
0:13a5d365ba16
|
314
|
NullaryExpr(Index size, const CustomNullaryOp& func);
|
| ykuroda |
0:13a5d365ba16
|
315
|
template<typename CustomNullaryOp>
|
| ykuroda |
0:13a5d365ba16
|
316
|
static const CwiseNullaryOp<CustomNullaryOp, Derived>
|
| ykuroda |
0:13a5d365ba16
|
317
|
NullaryExpr(const CustomNullaryOp& func);
|
| ykuroda |
0:13a5d365ba16
|
318
|
|
| ykuroda |
0:13a5d365ba16
|
319
|
static const ConstantReturnType Zero(Index rows, Index cols);
|
| ykuroda |
0:13a5d365ba16
|
320
|
static const ConstantReturnType Zero(Index size);
|
| ykuroda |
0:13a5d365ba16
|
321
|
static const ConstantReturnType Zero();
|
| ykuroda |
0:13a5d365ba16
|
322
|
static const ConstantReturnType Ones(Index rows, Index cols);
|
| ykuroda |
0:13a5d365ba16
|
323
|
static const ConstantReturnType Ones(Index size);
|
| ykuroda |
0:13a5d365ba16
|
324
|
static const ConstantReturnType Ones();
|
| ykuroda |
0:13a5d365ba16
|
325
|
|
| ykuroda |
0:13a5d365ba16
|
326
|
void fill(const Scalar& value);
|
| ykuroda |
0:13a5d365ba16
|
327
|
Derived& setConstant(const Scalar& value);
|
| ykuroda |
0:13a5d365ba16
|
328
|
Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
329
|
Derived& setLinSpaced(const Scalar& low, const Scalar& high);
|
| ykuroda |
0:13a5d365ba16
|
330
|
Derived& setZero();
|
| ykuroda |
0:13a5d365ba16
|
331
|
Derived& setOnes();
|
| ykuroda |
0:13a5d365ba16
|
332
|
Derived& setRandom();
|
| ykuroda |
0:13a5d365ba16
|
333
|
|
| ykuroda |
0:13a5d365ba16
|
334
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
335
|
bool isApprox(const DenseBase<OtherDerived>& other,
|
| ykuroda |
0:13a5d365ba16
|
336
|
const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
337
|
bool isMuchSmallerThan(const RealScalar& other,
|
| ykuroda |
0:13a5d365ba16
|
338
|
const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
339
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
340
|
bool isMuchSmallerThan(const DenseBase<OtherDerived>& other,
|
| ykuroda |
0:13a5d365ba16
|
341
|
const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
342
|
|
| ykuroda |
0:13a5d365ba16
|
343
|
bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
344
|
bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
345
|
bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
346
|
bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
|
| ykuroda |
0:13a5d365ba16
|
347
|
|
| ykuroda |
0:13a5d365ba16
|
348
|
inline bool hasNaN() const;
|
| ykuroda |
0:13a5d365ba16
|
349
|
inline bool allFinite() const;
|
| ykuroda |
0:13a5d365ba16
|
350
|
|
| ykuroda |
0:13a5d365ba16
|
351
|
inline Derived& operator*=(const Scalar& other);
|
| ykuroda |
0:13a5d365ba16
|
352
|
inline Derived& operator/=(const Scalar& other);
|
| ykuroda |
0:13a5d365ba16
|
353
|
|
| ykuroda |
0:13a5d365ba16
|
354
|
typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType;
|
| ykuroda |
0:13a5d365ba16
|
355
|
/** \returns the matrix or vector obtained by evaluating this expression.
|
| ykuroda |
0:13a5d365ba16
|
356
|
*
|
| ykuroda |
0:13a5d365ba16
|
357
|
* Notice that in the case of a plain matrix or vector (not an expression) this function just returns
|
| ykuroda |
0:13a5d365ba16
|
358
|
* a const reference, in order to avoid a useless copy.
|
| ykuroda |
0:13a5d365ba16
|
359
|
*/
|
| ykuroda |
0:13a5d365ba16
|
360
|
EIGEN_STRONG_INLINE EvalReturnType eval() const
|
| ykuroda |
0:13a5d365ba16
|
361
|
{
|
| ykuroda |
0:13a5d365ba16
|
362
|
// Even though MSVC does not honor strong inlining when the return type
|
| ykuroda |
0:13a5d365ba16
|
363
|
// is a dynamic matrix, we desperately need strong inlining for fixed
|
| ykuroda |
0:13a5d365ba16
|
364
|
// size types on MSVC.
|
| ykuroda |
0:13a5d365ba16
|
365
|
return typename internal::eval<Derived>::type(derived());
|
| ykuroda |
0:13a5d365ba16
|
366
|
}
|
| ykuroda |
0:13a5d365ba16
|
367
|
|
| ykuroda |
0:13a5d365ba16
|
368
|
/** swaps *this with the expression \a other.
|
| ykuroda |
0:13a5d365ba16
|
369
|
*
|
| ykuroda |
0:13a5d365ba16
|
370
|
*/
|
| ykuroda |
0:13a5d365ba16
|
371
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
372
|
void swap(const DenseBase<OtherDerived>& other,
|
| ykuroda |
0:13a5d365ba16
|
373
|
int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase)
|
| ykuroda |
0:13a5d365ba16
|
374
|
{
|
| ykuroda |
0:13a5d365ba16
|
375
|
SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
|
| ykuroda |
0:13a5d365ba16
|
376
|
}
|
| ykuroda |
0:13a5d365ba16
|
377
|
|
| ykuroda |
0:13a5d365ba16
|
378
|
/** swaps *this with the matrix or array \a other.
|
| ykuroda |
0:13a5d365ba16
|
379
|
*
|
| ykuroda |
0:13a5d365ba16
|
380
|
*/
|
| ykuroda |
0:13a5d365ba16
|
381
|
template<typename OtherDerived>
|
| ykuroda |
0:13a5d365ba16
|
382
|
void swap(PlainObjectBase<OtherDerived>& other)
|
| ykuroda |
0:13a5d365ba16
|
383
|
{
|
| ykuroda |
0:13a5d365ba16
|
384
|
SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
|
| ykuroda |
0:13a5d365ba16
|
385
|
}
|
| ykuroda |
0:13a5d365ba16
|
386
|
|
| ykuroda |
0:13a5d365ba16
|
387
|
|
| ykuroda |
0:13a5d365ba16
|
388
|
inline const NestByValue<Derived> nestByValue() const;
|
| ykuroda |
0:13a5d365ba16
|
389
|
inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
|
| ykuroda |
0:13a5d365ba16
|
390
|
inline ForceAlignedAccess<Derived> forceAlignedAccess();
|
| ykuroda |
0:13a5d365ba16
|
391
|
template<bool Enable> inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const;
|
| ykuroda |
0:13a5d365ba16
|
392
|
template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
|
| ykuroda |
0:13a5d365ba16
|
393
|
|
| ykuroda |
0:13a5d365ba16
|
394
|
Scalar sum() const;
|
| ykuroda |
0:13a5d365ba16
|
395
|
Scalar mean() const;
|
| ykuroda |
0:13a5d365ba16
|
396
|
Scalar trace() const;
|
| ykuroda |
0:13a5d365ba16
|
397
|
|
| ykuroda |
0:13a5d365ba16
|
398
|
Scalar prod() const;
|
| ykuroda |
0:13a5d365ba16
|
399
|
|
| ykuroda |
0:13a5d365ba16
|
400
|
typename internal::traits<Derived>::Scalar minCoeff() const;
|
| ykuroda |
0:13a5d365ba16
|
401
|
typename internal::traits<Derived>::Scalar maxCoeff() const;
|
| ykuroda |
0:13a5d365ba16
|
402
|
|
| ykuroda |
0:13a5d365ba16
|
403
|
template<typename IndexType>
|
| ykuroda |
0:13a5d365ba16
|
404
|
typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const;
|
| ykuroda |
0:13a5d365ba16
|
405
|
template<typename IndexType>
|
| ykuroda |
0:13a5d365ba16
|
406
|
typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const;
|
| ykuroda |
0:13a5d365ba16
|
407
|
template<typename IndexType>
|
| ykuroda |
0:13a5d365ba16
|
408
|
typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const;
|
| ykuroda |
0:13a5d365ba16
|
409
|
template<typename IndexType>
|
| ykuroda |
0:13a5d365ba16
|
410
|
typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const;
|
| ykuroda |
0:13a5d365ba16
|
411
|
|
| ykuroda |
0:13a5d365ba16
|
412
|
template<typename BinaryOp>
|
| ykuroda |
0:13a5d365ba16
|
413
|
typename internal::result_of<BinaryOp(typename internal::traits<Derived>::Scalar)>::type
|
| ykuroda |
0:13a5d365ba16
|
414
|
redux(const BinaryOp& func) const;
|
| ykuroda |
0:13a5d365ba16
|
415
|
|
| ykuroda |
0:13a5d365ba16
|
416
|
template<typename Visitor>
|
| ykuroda |
0:13a5d365ba16
|
417
|
void visit(Visitor& func) const;
|
| ykuroda |
0:13a5d365ba16
|
418
|
|
| ykuroda |
0:13a5d365ba16
|
419
|
inline const WithFormat<Derived> format(const IOFormat& fmt) const;
|
| ykuroda |
0:13a5d365ba16
|
420
|
|
| ykuroda |
0:13a5d365ba16
|
421
|
/** \returns the unique coefficient of a 1x1 expression */
|
| ykuroda |
0:13a5d365ba16
|
422
|
CoeffReturnType value() const
|
| ykuroda |
0:13a5d365ba16
|
423
|
{
|
| ykuroda |
0:13a5d365ba16
|
424
|
EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
|
| ykuroda |
0:13a5d365ba16
|
425
|
eigen_assert(this->rows() == 1 && this->cols() == 1);
|
| ykuroda |
0:13a5d365ba16
|
426
|
return derived().coeff(0,0);
|
| ykuroda |
0:13a5d365ba16
|
427
|
}
|
| ykuroda |
0:13a5d365ba16
|
428
|
|
| ykuroda |
0:13a5d365ba16
|
429
|
bool all(void) const;
|
| ykuroda |
0:13a5d365ba16
|
430
|
bool any(void) const;
|
| ykuroda |
0:13a5d365ba16
|
431
|
Index count() const;
|
| ykuroda |
0:13a5d365ba16
|
432
|
|
| ykuroda |
0:13a5d365ba16
|
433
|
typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
434
|
typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
435
|
typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
436
|
typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
437
|
|
| ykuroda |
0:13a5d365ba16
|
438
|
ConstRowwiseReturnType rowwise() const;
|
| ykuroda |
0:13a5d365ba16
|
439
|
RowwiseReturnType rowwise();
|
| ykuroda |
0:13a5d365ba16
|
440
|
ConstColwiseReturnType colwise() const;
|
| ykuroda |
0:13a5d365ba16
|
441
|
ColwiseReturnType colwise();
|
| ykuroda |
0:13a5d365ba16
|
442
|
|
| ykuroda |
0:13a5d365ba16
|
443
|
static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index rows, Index cols);
|
| ykuroda |
0:13a5d365ba16
|
444
|
static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index size);
|
| ykuroda |
0:13a5d365ba16
|
445
|
static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random();
|
| ykuroda |
0:13a5d365ba16
|
446
|
|
| ykuroda |
0:13a5d365ba16
|
447
|
template<typename ThenDerived,typename ElseDerived>
|
| ykuroda |
0:13a5d365ba16
|
448
|
const Select<Derived,ThenDerived,ElseDerived>
|
| ykuroda |
0:13a5d365ba16
|
449
|
select(const DenseBase<ThenDerived>& thenMatrix,
|
| ykuroda |
0:13a5d365ba16
|
450
|
const DenseBase<ElseDerived>& elseMatrix) const;
|
| ykuroda |
0:13a5d365ba16
|
451
|
|
| ykuroda |
0:13a5d365ba16
|
452
|
template<typename ThenDerived>
|
| ykuroda |
0:13a5d365ba16
|
453
|
inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
|
| ykuroda |
0:13a5d365ba16
|
454
|
select(const DenseBase<ThenDerived>& thenMatrix, const typename ThenDerived::Scalar& elseScalar) const;
|
| ykuroda |
0:13a5d365ba16
|
455
|
|
| ykuroda |
0:13a5d365ba16
|
456
|
template<typename ElseDerived>
|
| ykuroda |
0:13a5d365ba16
|
457
|
inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
|
| ykuroda |
0:13a5d365ba16
|
458
|
select(const typename ElseDerived::Scalar& thenScalar, const DenseBase<ElseDerived>& elseMatrix) const;
|
| ykuroda |
0:13a5d365ba16
|
459
|
|
| ykuroda |
0:13a5d365ba16
|
460
|
template<int p> RealScalar lpNorm() const;
|
| ykuroda |
0:13a5d365ba16
|
461
|
|
| ykuroda |
0:13a5d365ba16
|
462
|
template<int RowFactor, int ColFactor>
|
| ykuroda |
0:13a5d365ba16
|
463
|
inline const Replicate<Derived,RowFactor,ColFactor> replicate() const;
|
| ykuroda |
0:13a5d365ba16
|
464
|
|
| ykuroda |
0:13a5d365ba16
|
465
|
typedef Replicate<Derived,Dynamic,Dynamic> ReplicateReturnType;
|
| ykuroda |
0:13a5d365ba16
|
466
|
inline const ReplicateReturnType replicate(Index rowFacor,Index colFactor) const;
|
| ykuroda |
0:13a5d365ba16
|
467
|
|
| ykuroda |
0:13a5d365ba16
|
468
|
typedef Reverse<Derived, BothDirections> ReverseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
469
|
typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType;
|
| ykuroda |
0:13a5d365ba16
|
470
|
ReverseReturnType reverse();
|
| ykuroda |
0:13a5d365ba16
|
471
|
ConstReverseReturnType reverse() const;
|
| ykuroda |
0:13a5d365ba16
|
472
|
void reverseInPlace();
|
| ykuroda |
0:13a5d365ba16
|
473
|
|
| ykuroda |
0:13a5d365ba16
|
474
|
#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase
|
| ykuroda |
0:13a5d365ba16
|
475
|
# include "../plugins/BlockMethods.h"
|
| ykuroda |
0:13a5d365ba16
|
476
|
# ifdef EIGEN_DENSEBASE_PLUGIN
|
| ykuroda |
0:13a5d365ba16
|
477
|
# include EIGEN_DENSEBASE_PLUGIN
|
| ykuroda |
0:13a5d365ba16
|
478
|
# endif
|
| ykuroda |
0:13a5d365ba16
|
479
|
#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
|
| ykuroda |
0:13a5d365ba16
|
480
|
|
| ykuroda |
0:13a5d365ba16
|
481
|
#ifdef EIGEN2_SUPPORT
|
| ykuroda |
0:13a5d365ba16
|
482
|
|
| ykuroda |
0:13a5d365ba16
|
483
|
Block<Derived> corner(CornerType type, Index cRows, Index cCols);
|
| ykuroda |
0:13a5d365ba16
|
484
|
const Block<Derived> corner(CornerType type, Index cRows, Index cCols) const;
|
| ykuroda |
0:13a5d365ba16
|
485
|
template<int CRows, int CCols>
|
| ykuroda |
0:13a5d365ba16
|
486
|
Block<Derived, CRows, CCols> corner(CornerType type);
|
| ykuroda |
0:13a5d365ba16
|
487
|
template<int CRows, int CCols>
|
| ykuroda |
0:13a5d365ba16
|
488
|
const Block<Derived, CRows, CCols> corner(CornerType type) const;
|
| ykuroda |
0:13a5d365ba16
|
489
|
|
| ykuroda |
0:13a5d365ba16
|
490
|
#endif // EIGEN2_SUPPORT
|
| ykuroda |
0:13a5d365ba16
|
491
|
|
| ykuroda |
0:13a5d365ba16
|
492
|
|
| ykuroda |
0:13a5d365ba16
|
493
|
// disable the use of evalTo for dense objects with a nice compilation error
|
| ykuroda |
0:13a5d365ba16
|
494
|
template<typename Dest> inline void evalTo(Dest& ) const
|
| ykuroda |
0:13a5d365ba16
|
495
|
{
|
| ykuroda |
0:13a5d365ba16
|
496
|
EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS);
|
| ykuroda |
0:13a5d365ba16
|
497
|
}
|
| ykuroda |
0:13a5d365ba16
|
498
|
|
| ykuroda |
0:13a5d365ba16
|
499
|
protected:
|
| ykuroda |
0:13a5d365ba16
|
500
|
/** Default constructor. Do nothing. */
|
| ykuroda |
0:13a5d365ba16
|
501
|
DenseBase()
|
| ykuroda |
0:13a5d365ba16
|
502
|
{
|
| ykuroda |
0:13a5d365ba16
|
503
|
/* Just checks for self-consistency of the flags.
|
| ykuroda |
0:13a5d365ba16
|
504
|
* Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down
|
| ykuroda |
0:13a5d365ba16
|
505
|
*/
|
| ykuroda |
0:13a5d365ba16
|
506
|
#ifdef EIGEN_INTERNAL_DEBUGGING
|
| ykuroda |
0:13a5d365ba16
|
507
|
EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, int(IsRowMajor))
|
| ykuroda |
0:13a5d365ba16
|
508
|
&& EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, int(!IsRowMajor))),
|
| ykuroda |
0:13a5d365ba16
|
509
|
INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION)
|
| ykuroda |
0:13a5d365ba16
|
510
|
#endif
|
| ykuroda |
0:13a5d365ba16
|
511
|
}
|
| ykuroda |
0:13a5d365ba16
|
512
|
|
| ykuroda |
0:13a5d365ba16
|
513
|
private:
|
| ykuroda |
0:13a5d365ba16
|
514
|
explicit DenseBase(int);
|
| ykuroda |
0:13a5d365ba16
|
515
|
DenseBase(int,int);
|
| ykuroda |
0:13a5d365ba16
|
516
|
template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&);
|
| ykuroda |
0:13a5d365ba16
|
517
|
};
|
| ykuroda |
0:13a5d365ba16
|
518
|
|
| ykuroda |
0:13a5d365ba16
|
519
|
} // end namespace Eigen
|
| ykuroda |
0:13a5d365ba16
|
520
|
|
| ykuroda |
0:13a5d365ba16
|
521
|
#endif // EIGEN_DENSEBASE_H |