A versatible sparse matrix representation. More...
#include <SparseMatrix.h>
Classes | |
struct | default_prunning_func |
struct | IndexPosPair |
class | SingletonVector |
Public Types | |
enum | { Options = _Options } |
typedef Diagonal< const SparseMatrix > | ConstDiagonalReturnType |
typedef Diagonal< SparseMatrix > | DiagonalReturnType |
typedef Base::IndexVector | IndexVector |
typedef Base::InnerIterator | InnerIterator |
typedef MappedSparseMatrix< Scalar, Flags > | Map |
typedef Base::ReverseInnerIterator | ReverseInnerIterator |
typedef Base::ScalarVector | ScalarVector |
typedef internal::CompressedStorage< Scalar, StorageIndex > | Storage |
Public Types inherited from Eigen::SparseCompressedBase< SparseMatrix< _Scalar, _Options, _StorageIndex > > | |
typedef SparseMatrixBase< Derived > | Base |
Public Member Functions | |
Scalar | coeff (Index row, Index col) const |
Scalar & | coeffRef (Index row, Index col) |
template<typename DupFunctor > | |
void | collapseDuplicates (DupFunctor dup_func=DupFunctor()) |
Index | cols () const |
void | conservativeResize (Index rows, Index cols) |
Storage & | data () |
const Storage & | data () const |
DiagonalReturnType | diagonal () |
const ConstDiagonalReturnType | diagonal () const |
void | finalize () |
StorageIndex * | innerIndexPtr () |
const StorageIndex * | innerIndexPtr () const |
StorageIndex * | innerNonZeroPtr () |
const StorageIndex * | innerNonZeroPtr () const |
Index | innerSize () const |
Scalar & | insert (Index row, Index col) |
Scalar & | insertBack (Index row, Index col) |
Scalar & | insertBackByOuterInner (Index outer, Index inner) |
Scalar & | insertBackByOuterInnerUnordered (Index outer, Index inner) |
EIGEN_STRONG_INLINE Scalar & | insertBackUncompressed (Index row, Index col) |
Scalar & | insertByOuterInner (Index j, Index i) |
bool | isCompressed () const |
void | makeCompressed () |
Index | nonZeros () const |
template<typename OtherDerived > | |
SparseMatrix & | operator= (const EigenBase< OtherDerived > &other) |
template<typename Lhs , typename Rhs > | |
SparseMatrix & | operator= (const Product< Lhs, Rhs, AliasFreeProduct > &other) |
template<typename Lhs , typename Rhs > | |
SparseMatrix< Scalar, _Options, _StorageIndex > & | operator= (const Product< Lhs, Rhs, AliasFreeProduct > &src) |
SparseMatrix & | operator= (const SparseMatrix &other) |
template<typename OtherDerived > | |
EIGEN_DONT_INLINE SparseMatrix & | operator= (const SparseMatrixBase< OtherDerived > &other) |
template<typename OtherDerived > | |
EIGEN_DONT_INLINE SparseMatrix< Scalar, _Options, _StorageIndex > & | operator= (const SparseMatrixBase< OtherDerived > &other) |
StorageIndex * | outerIndexPtr () |
const StorageIndex * | outerIndexPtr () const |
Index | outerSize () const |
template<typename KeepFunc > | |
void | prune (const KeepFunc &keep=KeepFunc()) |
void | prune (const Scalar &reference, const RealScalar &epsilon=NumTraits< RealScalar >::dummy_precision()) |
template<class SizesType > | |
void | reserve (const SizesType &reserveSizes, const typename SizesType::value_type &enableif=typename SizesType::value_type()) |
void | reserve (Index reserveSize) |
void | resize (Index rows, Index cols) |
void | resizeNonZeros (Index size) |
Index | rows () const |
template<typename InputIterators > | |
void | setFromTriplets (const InputIterators &begin, const InputIterators &end) |
template<typename InputIterators , typename DupFunctor > | |
void | setFromTriplets (const InputIterators &begin, const InputIterators &end, DupFunctor dup_func) |
void | setIdentity () |
void | setZero () |
SparseMatrix () | |
template<typename OtherDerived > | |
SparseMatrix (const DiagonalBase< OtherDerived > &other) | |
Copy constructor with in-place evaluation. More... | |
template<typename OtherDerived > | |
SparseMatrix (const ReturnByValue< OtherDerived > &other) | |
Copy constructor with in-place evaluation. More... | |
SparseMatrix (const SparseMatrix &other) | |
template<typename OtherDerived > | |
SparseMatrix (const SparseMatrixBase< OtherDerived > &other) | |
template<typename OtherDerived , unsigned int UpLo> | |
SparseMatrix (const SparseSelfAdjointView< OtherDerived, UpLo > &other) | |
SparseMatrix (Index rows, Index cols) | |
void | startVec (Index outer) |
Scalar | sum () const |
void | sumupDuplicates () |
void | swap (SparseMatrix &other) |
void | uncompress () |
Scalar * | valuePtr () |
const Scalar * | valuePtr () const |
~SparseMatrix () | |
Public Member Functions inherited from Eigen::SparseCompressedBase< SparseMatrix< _Scalar, _Options, _StorageIndex > > | |
Map< Array< Scalar, Dynamic, 1 > > | coeffs () |
const Map< const Array< Scalar, Dynamic, 1 > > | coeffs () const |
StorageIndex * | innerIndexPtr () |
const StorageIndex * | innerIndexPtr () const |
StorageIndex * | innerNonZeroPtr () |
const StorageIndex * | innerNonZeroPtr () const |
bool | isCompressed () const |
Index | nonZeros () const |
Derived & | operator= (const Derived &other) |
Derived & | operator= (const Derived &other) |
Derived & | operator= (const EigenBase< OtherDerived > &other) |
Derived & | operator= (const ReturnByValue< OtherDerived > &other) |
Derived & | operator= (const SparseMatrixBase< OtherDerived > &other) |
StorageIndex * | outerIndexPtr () |
const StorageIndex * | outerIndexPtr () const |
Scalar * | valuePtr () |
const Scalar * | valuePtr () const |
Protected Types | |
typedef SparseMatrix< Scalar,(Flags &~RowMajorBit)|(IsRowMajor?RowMajorBit:0)> | TransposedSparseMatrix |
Protected Types inherited from Eigen::SparseCompressedBase< SparseMatrix< _Scalar, _Options, _StorageIndex > > | |
typedef Base::IndexVector | IndexVector |
Protected Member Functions | |
template<typename DiagXpr , typename Func > | |
void | assignDiagonal (const DiagXpr diagXpr, const Func &assignFunc) |
template<typename Other > | |
void | initAssignment (const Other &other) |
EIGEN_DONT_INLINE Scalar & | insertCompressed (Index row, Index col) |
EIGEN_DONT_INLINE Scalar & | insertUncompressed (Index row, Index col) |
template<class SizesType > | |
void | reserveInnerVectors (const SizesType &reserveSizes) |
Protected Member Functions inherited from Eigen::SparseCompressedBase< SparseMatrix< _Scalar, _Options, _StorageIndex > > | |
Eigen::Map< IndexVector > | innerNonZeros () |
const Eigen::Map< const IndexVector > | innerNonZeros () const |
internal::LowerBoundIndex | lower_bound (Index row, Index col) const |
SparseCompressedBase () | |
Protected Attributes | |
Storage | m_data |
StorageIndex * | m_innerNonZeros |
Index | m_innerSize |
StorageIndex * | m_outerIndex |
Index | m_outerSize |
Private Types | |
typedef SparseCompressedBase< SparseMatrix > | Base |
Static Private Member Functions | |
static void | check_template_parameters () |
Friends | |
template<typename , typename , typename , typename , typename > | |
struct | internal::Assignment |
std::ostream & | operator<< (std::ostream &s, const SparseMatrix &m) |
class | SparseVector< _Scalar, 0, _StorageIndex > |
A versatible sparse matrix representation.
This class implements a more versatile variants of the common compressed row/column storage format. Each colmun's (resp. row) non zeros are stored as a pair of value with associated row (resp. colmiun) index. All the non zeros are stored in a single large buffer. Unlike the compressed format, there might be extra space in between the nonzeros of two successive colmuns (resp. rows) such that insertion of new non-zero can be done with limited memory reallocation and copies.
A call to the function makeCompressed() turns the matrix into the standard compressed format compatible with many library.
More details on this storage sceheme are given in the manual pages.
_Scalar | the scalar type, i.e. the type of the coefficients |
_Options | Union of bit flags controlling the storage scheme. Currently the only possibility is ColMajor or RowMajor. The default is 0 which means column-major. |
_StorageIndex | the type of the indices. It has to be a signed type (e.g., short, int, std::ptrdiff_t). Default is int . |
SparseMatrix::Index
was improperly defined as the storage index type (e.g., int), whereas it is now (starting from Eigen 3.3) deprecated and always defined as Eigen::Index. Codes making use of SparseMatrix::Index
, might thus likely have to be changed to use SparseMatrix::StorageIndex
instead.This class can be extended with the help of the plugin mechanism described on the page Extending MatrixBase (and other classes) by defining the preprocessor symbol EIGEN_SPARSEMATRIX_PLUGIN
.
Definition at line 96 of file SparseMatrix.h.
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Definition at line 99 of file SparseMatrix.h.
typedef Diagonal<const SparseMatrix> Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::ConstDiagonalReturnType |
Definition at line 113 of file SparseMatrix.h.
typedef Diagonal<SparseMatrix> Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::DiagonalReturnType |
Definition at line 112 of file SparseMatrix.h.
typedef Base::IndexVector Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::IndexVector |
Definition at line 124 of file SparseMatrix.h.
typedef Base::InnerIterator Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::InnerIterator |
Definition at line 114 of file SparseMatrix.h.
typedef MappedSparseMatrix<Scalar,Flags> Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::Map |
Definition at line 111 of file SparseMatrix.h.
typedef Base::ReverseInnerIterator Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::ReverseInnerIterator |
Definition at line 115 of file SparseMatrix.h.
typedef Base::ScalarVector Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::ScalarVector |
Definition at line 125 of file SparseMatrix.h.
typedef internal::CompressedStorage<Scalar,StorageIndex> Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::Storage |
Definition at line 119 of file SparseMatrix.h.
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Definition at line 127 of file SparseMatrix.h.
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Options |
Definition at line 120 of file SparseMatrix.h.
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Default constructor yielding an empty 0
x
0
matrix
Definition at line 664 of file SparseMatrix.h.
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Constructs a rows x
cols empty matrix
Definition at line 672 of file SparseMatrix.h.
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Constructs a sparse matrix from the sparse expression other
Definition at line 681 of file SparseMatrix.h.
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Constructs a sparse matrix from the sparse selfadjoint view other
Definition at line 701 of file SparseMatrix.h.
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Copy constructor (it performs a deep copy)
Definition at line 709 of file SparseMatrix.h.
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Copy constructor with in-place evaluation.
Definition at line 718 of file SparseMatrix.h.
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Copy constructor with in-place evaluation.
Definition at line 728 of file SparseMatrix.h.
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Destructor
Definition at line 842 of file SparseMatrix.h.
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Definition at line 927 of file SparseMatrix.h.
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Definition at line 1015 of file SparseMatrix.h.
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Definition at line 190 of file SparseMatrix.h.
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If the element does not exist then it is inserted via the insert(Index,Index) function which itself turns the matrix into a non compressed form if that was not the case.
This is a O(log(nnz_j)) operation (binary search) plus the cost of insert(Index,Index) function if the element does not already exist.
Definition at line 208 of file SparseMatrix.h.
void Eigen::SparseMatrix< Scalar, _Options, _StorageIndex >::collapseDuplicates | ( | DupFunctor | dup_func = DupFunctor() | ) |
Definition at line 1132 of file SparseMatrix.h.
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Definition at line 140 of file SparseMatrix.h.
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Resizes the matrix to a rows x cols matrix leaving old values untouched.
If the sizes of the matrix are decreased, then the matrix is turned to uncompressed-mode and the storage of the out of bounds coefficients is kept and reserved. Call makeCompressed() to pack the entries and squeeze extra memory.
Definition at line 556 of file SparseMatrix.h.
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Definition at line 184 of file SparseMatrix.h.
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Definition at line 186 of file SparseMatrix.h.
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Definition at line 661 of file SparseMatrix.h.
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Definition at line 655 of file SparseMatrix.h.
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Definition at line 425 of file SparseMatrix.h.
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Definition at line 858 of file SparseMatrix.h.
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Definition at line 163 of file SparseMatrix.h.
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Definition at line 159 of file SparseMatrix.h.
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Definition at line 181 of file SparseMatrix.h.
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Definition at line 177 of file SparseMatrix.h.
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Definition at line 143 of file SparseMatrix.h.
SparseMatrix< _Scalar, _Options, _StorageIndex >::Scalar & Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::insert | ( | Index | row, |
Index | col | ||
) |
If the matrix *this
is in compressed mode, then *this
is turned into uncompressed mode while reserving room for 2 x this->innerSize() non zeros if reserve(Index) has not been called earlier. In this case, the insertion procedure is optimized for a sequential insertion mode where elements are assumed to be inserted by increasing outer-indices.
If that's not the case, then it is strongly recommended to either use a triplet-list to assemble the matrix, or to first call reserve(const SizesType &) to reserve the appropriate number of non-zero elements per inner vector.
Assuming memory has been appropriately reserved, this function performs a sorted insertion in O(1) if the elements of each inner vector are inserted in increasing inner index order, and in O(nnz_j) for a random insertion.
Definition at line 1244 of file SparseMatrix.h.
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Definition at line 386 of file SparseMatrix.h.
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Definition at line 393 of file SparseMatrix.h.
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Definition at line 405 of file SparseMatrix.h.
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Definition at line 894 of file SparseMatrix.h.
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Definition at line 460 of file SparseMatrix.h.
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Definition at line 1396 of file SparseMatrix.h.
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Definition at line 1364 of file SparseMatrix.h.
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*this
is in compressed form. Definition at line 107 of file SparseCompressedBase.h.
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Turns the matrix into the compressed format.
Definition at line 467 of file SparseMatrix.h.
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Definition at line 56 of file SparseCompressedBase.h.
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Definition at line 786 of file SparseMatrix.h.
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SparseMatrix<Scalar,_Options,_StorageIndex>& Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator= | ( | const Product< Lhs, Rhs, AliasFreeProduct > & | src | ) |
Definition at line 170 of file SparseProduct.h.
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Definition at line 759 of file SparseMatrix.h.
EIGEN_DONT_INLINE SparseMatrix& Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator= | ( | const SparseMatrixBase< OtherDerived > & | other | ) |
EIGEN_DONT_INLINE SparseMatrix<Scalar,_Options,_StorageIndex>& Eigen::SparseMatrix< _Scalar, _Options, _StorageIndex >::operator= | ( | const SparseMatrixBase< OtherDerived > & | other | ) |
Definition at line 1172 of file SparseMatrix.h.
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Definition at line 172 of file SparseMatrix.h.
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Definition at line 168 of file SparseMatrix.h.
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Definition at line 145 of file SparseMatrix.h.
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Turns the matrix into compressed format, and suppresses all nonzeros which do not satisfy the predicate keep. The functor type KeepFunc must implement the following function:
Definition at line 523 of file SparseMatrix.h.
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Suppresses all nonzeros which are much smaller than reference under the tolerance epsilon
Definition at line 510 of file SparseMatrix.h.
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Definition at line 287 of file SparseMatrix.h.
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Preallocates reserveSize non zeros.
Precondition: the matrix must be in compressed mode.
Definition at line 264 of file SparseMatrix.h.
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Definition at line 299 of file SparseMatrix.h.
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Resizes the matrix to a rows x cols matrix and initializes it to zero.
This function does not free the currently allocated memory. To release as much as memory as possible, call
after resizing it.
Definition at line 626 of file SparseMatrix.h.
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Definition at line 649 of file SparseMatrix.h.
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Definition at line 138 of file SparseMatrix.h.
void Eigen::SparseMatrix< Scalar, _Options, _StorageIndex >::setFromTriplets | ( | const InputIterators & | begin, |
const InputIterators & | end | ||
) |
Fill the matrix *this
with the list of triplets defined by the iterator range begin - end.
A triplet is a tuple (i,j,value) defining a non-zero element. The input list of triplets does not have to be sorted, and can contains duplicated elements. In any case, the result is a sorted and compressed sparse matrix where the duplicates have been summed up. This is a O(n) operation, with n the number of triplet elements. The initial contents of *this
is destroyed. The matrix *this
must be properly resized beforehand using the SparseMatrix(Index,Index) constructor, or the resize(Index,Index) method. The sizes are not extracted from the triplet list.
The InputIterators value_type must provide the following interface:
See for instance the Eigen::Triplet template class.
Here is a typical usage example:
Definition at line 1108 of file SparseMatrix.h.
void Eigen::SparseMatrix< Scalar, _Options, _StorageIndex >::setFromTriplets | ( | const InputIterators & | begin, |
const InputIterators & | end, | ||
DupFunctor | dup_func | ||
) |
The same as setFromTriplets but when duplicates are met the functor dup_func is applied:
Here is a C++11 example keeping the latest entry only:
Definition at line 1124 of file SparseMatrix.h.
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Sets *this to the identity matrix. This function also turns the matrix into compressed mode, and drop any reserved memory.
Definition at line 749 of file SparseMatrix.h.
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Removes all non zeros but keep allocated memory
This function does not free the currently allocated memory. To release as much as memory as possible, call
after resizing it.
Definition at line 253 of file SparseMatrix.h.
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Definition at line 415 of file SparseMatrix.h.
internal::traits< SparseMatrix< _Scalar, _Options, _Index > >::Scalar Eigen::SparseMatrix< _Scalar, _Options, _Index >::sum |
Overloaded for performance
Definition at line 30 of file SparseRedux.h.
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Definition at line 451 of file SparseMatrix.h.
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Swaps the content of two sparse matrices of the same type. This is a fast operation that simply swaps the underlying pointers and parameters.
Definition at line 737 of file SparseMatrix.h.
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Turns the matrix into the uncompressed mode
Definition at line 498 of file SparseMatrix.h.
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Definition at line 154 of file SparseMatrix.h.
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Definition at line 150 of file SparseMatrix.h.
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Definition at line 103 of file SparseMatrix.h.
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Definition at line 796 of file SparseMatrix.h.
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Definition at line 101 of file SparseMatrix.h.
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Definition at line 133 of file SparseMatrix.h.
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Definition at line 132 of file SparseMatrix.h.
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Definition at line 130 of file SparseMatrix.h.
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Definition at line 131 of file SparseMatrix.h.
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Definition at line 129 of file SparseMatrix.h.