1 // This file is part of Eigen, a lightweight C++ template library
2 // for linear algebra.
3 //
4 // Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
5 // Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
6 //
7 // This Source Code Form is subject to the terms of the Mozilla
8 // Public License v. 2.0. If a copy of the MPL was not distributed
9 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10
11 #ifndef EIGEN_DENSEBASE_H
12 #define EIGEN_DENSEBASE_H
13
14 namespace Eigen {
15
16 namespace internal {
17
18 // The index type defined by EIGEN_DEFAULT_DENSE_INDEX_TYPE must be a signed type.
19 // This dummy function simply aims at checking that at compile time.
check_DenseIndex_is_signed()20 static inline void check_DenseIndex_is_signed() {
21 EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
22 }
23
24 } // end namespace internal
25
26 /** \class DenseBase
27 * \ingroup Core_Module
28 *
29 * \brief Base class for all dense matrices, vectors, and arrays
30 *
31 * This class is the base that is inherited by all dense objects (matrix, vector, arrays,
32 * and related expression types). The common Eigen API for dense objects is contained in this class.
33 *
34 * \tparam Derived is the derived type, e.g., a matrix type or an expression.
35 *
36 * This class can be extended with the help of the plugin mechanism described on the page
37 * \ref TopicCustomizingEigen by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN.
38 *
39 * \sa \ref TopicClassHierarchy
40 */
41 template<typename Derived> class DenseBase
42 #ifndef EIGEN_PARSED_BY_DOXYGEN
43 : public internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
44 typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>
45 #else
46 : public DenseCoeffsBase<Derived>
47 #endif // not EIGEN_PARSED_BY_DOXYGEN
48 {
49 public:
50 using internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
51 typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>::operator*;
52
53 class InnerIterator;
54
55 typedef typename internal::traits<Derived>::StorageKind StorageKind;
56
57 /** \brief The type of indices
58 * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
59 * \sa \ref TopicPreprocessorDirectives.
60 */
61 typedef typename internal::traits<Derived>::Index Index;
62
63 typedef typename internal::traits<Derived>::Scalar Scalar;
64 typedef typename internal::packet_traits<Scalar>::type PacketScalar;
65 typedef typename NumTraits<Scalar>::Real RealScalar;
66
67 typedef DenseCoeffsBase<Derived> Base;
68 using Base::derived;
69 using Base::const_cast_derived;
70 using Base::rows;
71 using Base::cols;
72 using Base::size;
73 using Base::rowIndexByOuterInner;
74 using Base::colIndexByOuterInner;
75 using Base::coeff;
76 using Base::coeffByOuterInner;
77 using Base::packet;
78 using Base::packetByOuterInner;
79 using Base::writePacket;
80 using Base::writePacketByOuterInner;
81 using Base::coeffRef;
82 using Base::coeffRefByOuterInner;
83 using Base::copyCoeff;
84 using Base::copyCoeffByOuterInner;
85 using Base::copyPacket;
86 using Base::copyPacketByOuterInner;
87 using Base::operator();
88 using Base::operator[];
89 using Base::x;
90 using Base::y;
91 using Base::z;
92 using Base::w;
93 using Base::stride;
94 using Base::innerStride;
95 using Base::outerStride;
96 using Base::rowStride;
97 using Base::colStride;
98 typedef typename Base::CoeffReturnType CoeffReturnType;
99
100 enum {
101
102 RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
103 /**< The number of rows at compile-time. This is just a copy of the value provided
104 * by the \a Derived type. If a value is not known at compile-time,
105 * it is set to the \a Dynamic constant.
106 * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
107
108 ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
109 /**< The number of columns at compile-time. This is just a copy of the value provided
110 * by the \a Derived type. If a value is not known at compile-time,
111 * it is set to the \a Dynamic constant.
112 * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
113
114
115 SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
116 internal::traits<Derived>::ColsAtCompileTime>::ret),
117 /**< This is equal to the number of coefficients, i.e. the number of
118 * rows times the number of columns, or to \a Dynamic if this is not
119 * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
120
121 MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
122 /**< This value is equal to the maximum possible number of rows that this expression
123 * might have. If this expression might have an arbitrarily high number of rows,
124 * this value is set to \a Dynamic.
125 *
126 * This value is useful to know when evaluating an expression, in order to determine
127 * whether it is possible to avoid doing a dynamic memory allocation.
128 *
129 * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
130 */
131
132 MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
133 /**< This value is equal to the maximum possible number of columns that this expression
134 * might have. If this expression might have an arbitrarily high number of columns,
135 * this value is set to \a Dynamic.
136 *
137 * This value is useful to know when evaluating an expression, in order to determine
138 * whether it is possible to avoid doing a dynamic memory allocation.
139 *
140 * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
141 */
142
143 MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
144 internal::traits<Derived>::MaxColsAtCompileTime>::ret),
145 /**< This value is equal to the maximum possible number of coefficients that this expression
146 * might have. If this expression might have an arbitrarily high number of coefficients,
147 * this value is set to \a Dynamic.
148 *
149 * This value is useful to know when evaluating an expression, in order to determine
150 * whether it is possible to avoid doing a dynamic memory allocation.
151 *
152 * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
153 */
154
155 IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
156 || internal::traits<Derived>::MaxColsAtCompileTime == 1,
157 /**< This is set to true if either the number of rows or the number of
158 * columns is known at compile-time to be equal to 1. Indeed, in that case,
159 * we are dealing with a column-vector (if there is only one column) or with
160 * a row-vector (if there is only one row). */
161
162 Flags = internal::traits<Derived>::Flags,
163 /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
164 * constructed from this one. See the \ref flags "list of flags".
165 */
166
167 IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */
168
169 InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
170 : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
171
172 CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
173 /**< This is a rough measure of how expensive it is to read one coefficient from
174 * this expression.
175 */
176
177 InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
178 OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
179 };
180
181 enum { ThisConstantIsPrivateInPlainObjectBase };
182
183 /** \returns the number of nonzero coefficients which is in practice the number
184 * of stored coefficients. */
nonZeros()185 inline Index nonZeros() const { return size(); }
186 /** \returns true if either the number of rows or the number of columns is equal to 1.
187 * In other words, this function returns
188 * \code rows()==1 || cols()==1 \endcode
189 * \sa rows(), cols(), IsVectorAtCompileTime. */
190
191 /** \returns the outer size.
192 *
193 * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension
194 * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a
195 * column-major matrix, and the number of rows for a row-major matrix. */
outerSize()196 Index outerSize() const
197 {
198 return IsVectorAtCompileTime ? 1
199 : int(IsRowMajor) ? this->rows() : this->cols();
200 }
201
202 /** \returns the inner size.
203 *
204 * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension
205 * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a
206 * column-major matrix, and the number of columns for a row-major matrix. */
innerSize()207 Index innerSize() const
208 {
209 return IsVectorAtCompileTime ? this->size()
210 : int(IsRowMajor) ? this->cols() : this->rows();
211 }
212
213 /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
214 * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
215 * nothing else.
216 */
resize(Index newSize)217 void resize(Index newSize)
218 {
219 EIGEN_ONLY_USED_FOR_DEBUG(newSize);
220 eigen_assert(newSize == this->size()
221 && "DenseBase::resize() does not actually allow to resize.");
222 }
223 /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
224 * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
225 * nothing else.
226 */
resize(Index nbRows,Index nbCols)227 void resize(Index nbRows, Index nbCols)
228 {
229 EIGEN_ONLY_USED_FOR_DEBUG(nbRows);
230 EIGEN_ONLY_USED_FOR_DEBUG(nbCols);
231 eigen_assert(nbRows == this->rows() && nbCols == this->cols()
232 && "DenseBase::resize() does not actually allow to resize.");
233 }
234
235 #ifndef EIGEN_PARSED_BY_DOXYGEN
236
237 /** \internal Represents a matrix with all coefficients equal to one another*/
238 typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
239 /** \internal Represents a vector with linearly spaced coefficients that allows sequential access only. */
240 typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType;
241 /** \internal Represents a vector with linearly spaced coefficients that allows random access. */
242 typedef CwiseNullaryOp<internal::linspaced_op<Scalar,true>,Derived> RandomAccessLinSpacedReturnType;
243 /** \internal the return type of MatrixBase::eigenvalues() */
244 typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
245
246 #endif // not EIGEN_PARSED_BY_DOXYGEN
247
248 /** Copies \a other into *this. \returns a reference to *this. */
249 template<typename OtherDerived>
250 Derived& operator=(const DenseBase<OtherDerived>& other);
251
252 /** Special case of the template operator=, in order to prevent the compiler
253 * from generating a default operator= (issue hit with g++ 4.1)
254 */
255 Derived& operator=(const DenseBase& other);
256
257 template<typename OtherDerived>
258 Derived& operator=(const EigenBase<OtherDerived> &other);
259
260 template<typename OtherDerived>
261 Derived& operator+=(const EigenBase<OtherDerived> &other);
262
263 template<typename OtherDerived>
264 Derived& operator-=(const EigenBase<OtherDerived> &other);
265
266 template<typename OtherDerived>
267 Derived& operator=(const ReturnByValue<OtherDerived>& func);
268
269 /** \internal Copies \a other into *this without evaluating other. \returns a reference to *this. */
270 template<typename OtherDerived>
271 Derived& lazyAssign(const DenseBase<OtherDerived>& other);
272
273 /** \internal Evaluates \a other into *this. \returns a reference to *this. */
274 template<typename OtherDerived>
275 Derived& lazyAssign(const ReturnByValue<OtherDerived>& other);
276
277 CommaInitializer<Derived> operator<< (const Scalar& s);
278
279 template<unsigned int Added,unsigned int Removed>
280 const Flagged<Derived, Added, Removed> flagged() const;
281
282 template<typename OtherDerived>
283 CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other);
284
285 Eigen::Transpose<Derived> transpose();
286 typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType;
287 ConstTransposeReturnType transpose() const;
288 void transposeInPlace();
289 #ifndef EIGEN_NO_DEBUG
290 protected:
291 template<typename OtherDerived>
292 void checkTransposeAliasing(const OtherDerived& other) const;
293 public:
294 #endif
295
296
297 static const ConstantReturnType
298 Constant(Index rows, Index cols, const Scalar& value);
299 static const ConstantReturnType
300 Constant(Index size, const Scalar& value);
301 static const ConstantReturnType
302 Constant(const Scalar& value);
303
304 static const SequentialLinSpacedReturnType
305 LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high);
306 static const RandomAccessLinSpacedReturnType
307 LinSpaced(Index size, const Scalar& low, const Scalar& high);
308 static const SequentialLinSpacedReturnType
309 LinSpaced(Sequential_t, const Scalar& low, const Scalar& high);
310 static const RandomAccessLinSpacedReturnType
311 LinSpaced(const Scalar& low, const Scalar& high);
312
313 template<typename CustomNullaryOp>
314 static const CwiseNullaryOp<CustomNullaryOp, Derived>
315 NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func);
316 template<typename CustomNullaryOp>
317 static const CwiseNullaryOp<CustomNullaryOp, Derived>
318 NullaryExpr(Index size, const CustomNullaryOp& func);
319 template<typename CustomNullaryOp>
320 static const CwiseNullaryOp<CustomNullaryOp, Derived>
321 NullaryExpr(const CustomNullaryOp& func);
322
323 static const ConstantReturnType Zero(Index rows, Index cols);
324 static const ConstantReturnType Zero(Index size);
325 static const ConstantReturnType Zero();
326 static const ConstantReturnType Ones(Index rows, Index cols);
327 static const ConstantReturnType Ones(Index size);
328 static const ConstantReturnType Ones();
329
330 void fill(const Scalar& value);
331 Derived& setConstant(const Scalar& value);
332 Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high);
333 Derived& setLinSpaced(const Scalar& low, const Scalar& high);
334 Derived& setZero();
335 Derived& setOnes();
336 Derived& setRandom();
337
338 template<typename OtherDerived>
339 bool isApprox(const DenseBase<OtherDerived>& other,
340 const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
341 bool isMuchSmallerThan(const RealScalar& other,
342 const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
343 template<typename OtherDerived>
344 bool isMuchSmallerThan(const DenseBase<OtherDerived>& other,
345 const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
346
347 bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
348 bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
349 bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
350 bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
351
352 inline bool hasNaN() const;
353 inline bool allFinite() const;
354
355 inline Derived& operator*=(const Scalar& other);
356 inline Derived& operator/=(const Scalar& other);
357
358 typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType;
359 /** \returns the matrix or vector obtained by evaluating this expression.
360 *
361 * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
362 * a const reference, in order to avoid a useless copy.
363 */
eval()364 EIGEN_STRONG_INLINE EvalReturnType eval() const
365 {
366 // Even though MSVC does not honor strong inlining when the return type
367 // is a dynamic matrix, we desperately need strong inlining for fixed
368 // size types on MSVC.
369 return typename internal::eval<Derived>::type(derived());
370 }
371
372 /** swaps *this with the expression \a other.
373 *
374 */
375 template<typename OtherDerived>
376 void swap(const DenseBase<OtherDerived>& other,
377 int = OtherDerived::ThisConstantIsPrivateInPlainObjectBase)
378 {
379 SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
380 }
381
382 /** swaps *this with the matrix or array \a other.
383 *
384 */
385 template<typename OtherDerived>
swap(PlainObjectBase<OtherDerived> & other)386 void swap(PlainObjectBase<OtherDerived>& other)
387 {
388 SwapWrapper<Derived>(derived()).lazyAssign(other.derived());
389 }
390
391
392 inline const NestByValue<Derived> nestByValue() const;
393 inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
394 inline ForceAlignedAccess<Derived> forceAlignedAccess();
395 template<bool Enable> inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const;
396 template<bool Enable> inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
397
398 Scalar sum() const;
399 Scalar mean() const;
400 Scalar trace() const;
401
402 Scalar prod() const;
403
404 typename internal::traits<Derived>::Scalar minCoeff() const;
405 typename internal::traits<Derived>::Scalar maxCoeff() const;
406
407 template<typename IndexType>
408 typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const;
409 template<typename IndexType>
410 typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const;
411 template<typename IndexType>
412 typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const;
413 template<typename IndexType>
414 typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const;
415
416 template<typename BinaryOp>
417 typename internal::result_of<BinaryOp(typename internal::traits<Derived>::Scalar)>::type
418 redux(const BinaryOp& func) const;
419
420 template<typename Visitor>
421 void visit(Visitor& func) const;
422
423 inline const WithFormat<Derived> format(const IOFormat& fmt) const;
424
425 /** \returns the unique coefficient of a 1x1 expression */
value()426 CoeffReturnType value() const
427 {
428 EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
429 eigen_assert(this->rows() == 1 && this->cols() == 1);
430 return derived().coeff(0,0);
431 }
432
433 bool all(void) const;
434 bool any(void) const;
435 Index count() const;
436
437 typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType;
438 typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType;
439 typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType;
440 typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType;
441
442 ConstRowwiseReturnType rowwise() const;
443 RowwiseReturnType rowwise();
444 ConstColwiseReturnType colwise() const;
445 ColwiseReturnType colwise();
446
447 static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index rows, Index cols);
448 static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random(Index size);
449 static const CwiseNullaryOp<internal::scalar_random_op<Scalar>,Derived> Random();
450
451 template<typename ThenDerived,typename ElseDerived>
452 const Select<Derived,ThenDerived,ElseDerived>
453 select(const DenseBase<ThenDerived>& thenMatrix,
454 const DenseBase<ElseDerived>& elseMatrix) const;
455
456 template<typename ThenDerived>
457 inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
458 select(const DenseBase<ThenDerived>& thenMatrix, const typename ThenDerived::Scalar& elseScalar) const;
459
460 template<typename ElseDerived>
461 inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
462 select(const typename ElseDerived::Scalar& thenScalar, const DenseBase<ElseDerived>& elseMatrix) const;
463
464 template<int p> RealScalar lpNorm() const;
465
466 template<int RowFactor, int ColFactor>
467 inline const Replicate<Derived,RowFactor,ColFactor> replicate() const;
468
469 typedef Replicate<Derived,Dynamic,Dynamic> ReplicateReturnType;
470 inline const ReplicateReturnType replicate(Index rowFacor,Index colFactor) const;
471
472 typedef Reverse<Derived, BothDirections> ReverseReturnType;
473 typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType;
474 ReverseReturnType reverse();
475 ConstReverseReturnType reverse() const;
476 void reverseInPlace();
477
478 #define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase
479 # include "../plugins/BlockMethods.h"
480 # ifdef EIGEN_DENSEBASE_PLUGIN
481 # include EIGEN_DENSEBASE_PLUGIN
482 # endif
483 #undef EIGEN_CURRENT_STORAGE_BASE_CLASS
484
485 #ifdef EIGEN2_SUPPORT
486
487 Block<Derived> corner(CornerType type, Index cRows, Index cCols);
488 const Block<Derived> corner(CornerType type, Index cRows, Index cCols) const;
489 template<int CRows, int CCols>
490 Block<Derived, CRows, CCols> corner(CornerType type);
491 template<int CRows, int CCols>
492 const Block<Derived, CRows, CCols> corner(CornerType type) const;
493
494 #endif // EIGEN2_SUPPORT
495
496
497 // disable the use of evalTo for dense objects with a nice compilation error
evalTo(Dest &)498 template<typename Dest> inline void evalTo(Dest& ) const
499 {
500 EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS);
501 }
502
503 protected:
504 /** Default constructor. Do nothing. */
DenseBase()505 DenseBase()
506 {
507 /* Just checks for self-consistency of the flags.
508 * Only do it when debugging Eigen, as this borders on paranoiac and could slow compilation down
509 */
510 #ifdef EIGEN_INTERNAL_DEBUGGING
511 EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, int(IsRowMajor))
512 && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, int(!IsRowMajor))),
513 INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION)
514 #endif
515 }
516
517 private:
518 explicit DenseBase(int);
519 DenseBase(int,int);
520 template<typename OtherDerived> explicit DenseBase(const DenseBase<OtherDerived>&);
521 };
522
523 } // end namespace Eigen
524
525 #endif // EIGEN_DENSEBASE_H
526