General-purpose arrays with easy API for coefficient-wise operations. More...
#include <Array.h>
Public Types | |
enum | |
enum | |
enum | { Options } |
enum | |
enum | |
typedef Eigen::Map< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , Aligned > | AlignedMapType |
typedef PlainObjectBase< Array > | Base |
typedef Base::CoeffReturnType | CoeffReturnType |
typedef VectorwiseOp< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , Vertical > | ColwiseReturnType |
typedef const Eigen::Map < const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, Aligned > | ConstAlignedMapType |
typedef const VectorwiseOp < const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, Vertical > | ConstColwiseReturnType |
typedef const Eigen::Map < const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, Unaligned > | ConstMapType |
typedef const Reverse< const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , BothDirections > | ConstReverseReturnType |
typedef const VectorwiseOp < const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, Horizontal > | ConstRowwiseReturnType |
typedef const VectorBlock < const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | ConstSegmentReturnType |
typedef const Transpose< const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | ConstTransposeReturnType |
typedef Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > | DenseType |
typedef internal::add_const_on_value_type < typename internal::eval < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::type >::type | EvalReturnType |
typedef internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Index | Index |
The type of indices. | |
typedef Eigen::Map< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , Unaligned > | MapType |
typedef internal::packet_traits < Scalar >::type | PacketScalar |
typedef Base::PlainObject | PlainObject |
typedef NumTraits< Scalar >::Real | RealScalar |
typedef Reverse< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , BothDirections > | ReverseReturnType |
typedef VectorwiseOp< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , Horizontal > | RowwiseReturnType |
typedef internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | Scalar |
typedef VectorBlock< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | SegmentReturnType |
typedef internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::StorageKind | StorageKind |
Public Member Functions | |
const CwiseUnaryOp < internal::scalar_abs_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | abs () const |
const CwiseUnaryOp < internal::scalar_abs2_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | abs2 () const |
const CwiseUnaryOp < internal::scalar_acos_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | acos () const |
bool | all (void) const |
bool | any (void) const |
Array () | |
Array (Index dim) | |
ArrayBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > & | array () |
const ArrayBase< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > & | array () const |
Array (Index rows, Index cols) | |
Array (const Scalar &x, const Scalar &y) | |
Array (const Scalar &x, const Scalar &y, const Scalar &z) | |
Array (const Scalar &x, const Scalar &y, const Scalar &z, const Scalar &w) | |
Array (const Scalar *data) | |
template<typename OtherDerived > | |
Array (const ArrayBase< OtherDerived > &other) | |
Array (const Array &other) | |
template<typename OtherDerived > | |
Array (const ReturnByValue< OtherDerived > &other) | |
template<typename OtherDerived > | |
Array (const EigenBase< OtherDerived > &other) | |
const CwiseUnaryOp < internal::scalar_asin_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | asin () const |
Base & | base () |
const Base & | base () const |
const CwiseBinaryOp < CustomBinaryOp, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const OtherDerived > | binaryExpr (const Eigen::ArrayBase< OtherDerived > &other, const CustomBinaryOp &func=CustomBinaryOp()) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | block (Index startRow, Index startCol, Index blockRows, Index blockCols) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, BlockRows, BlockCols > | block (Index startRow, Index startCol) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , BlockRows, BlockCols > | block (Index startRow, Index startCol) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | bottomLeftCorner (Index cRows, Index cCols) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | bottomLeftCorner (Index cRows, Index cCols) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, CRows, CCols > | bottomLeftCorner () |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , CRows, CCols > | bottomLeftCorner () const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | bottomRightCorner (Index cRows, Index cCols) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | bottomRightCorner (Index cRows, Index cCols) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, CRows, CCols > | bottomRightCorner () |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , CRows, CCols > | bottomRightCorner () const |
RowsBlockXpr | bottomRows (Index n) |
ConstRowsBlockXpr | bottomRows (Index n) const |
NRowsBlockXpr< N >::Type | bottomRows () |
ConstNRowsBlockXpr< N >::Type | bottomRows () const |
internal::cast_return_type < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const CwiseUnaryOp < internal::scalar_cast_op < typename internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar, NewType >, const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > >::type | cast () const |
const Scalar & | coeff (Index row, Index col) const |
const Scalar & | coeff (Index index) const |
Scalar & | coeffRef (Index row, Index col) |
Scalar & | coeffRef (Index index) |
const Scalar & | coeffRef (Index row, Index col) const |
const Scalar & | coeffRef (Index index) const |
ColXpr | col (Index i) |
ConstColXpr | col (Index i) const |
Index | cols () const |
ConstColwiseReturnType | colwise () const |
ColwiseReturnType | colwise () |
ConjugateReturnType | conjugate () const |
void | conservativeResize (Index rows, Index cols) |
void | conservativeResize (Index rows, NoChange_t) |
void | conservativeResize (NoChange_t, Index cols) |
void | conservativeResize (Index size) |
void | conservativeResizeLike (const DenseBase< OtherDerived > &other) |
const CwiseUnaryOp < internal::scalar_cos_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cos () const |
Index | count () const |
const CwiseUnaryOp < internal::scalar_cube_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cube () const |
const CwiseUnaryOp < internal::scalar_abs_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cwiseAbs () const |
const CwiseUnaryOp < internal::scalar_abs2_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cwiseAbs2 () const |
const | CwiseBinaryOp (min)(const Scalar &other) const |
const | CwiseBinaryOp (max)(const Scalar &other) const |
const CwiseBinaryOp < std::equal_to< Scalar > , const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, const OtherDerived > | cwiseEqual (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseUnaryOp < std::binder1st < std::equal_to< Scalar > >, const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cwiseEqual (const Scalar &s) const |
const CwiseUnaryOp < internal::scalar_inverse_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cwiseInverse () const |
const CwiseBinaryOp < internal::scalar_max_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const OtherDerived > | cwiseMax (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseBinaryOp < internal::scalar_max_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const ConstantReturnType > | cwiseMax (const Scalar &other) const |
const CwiseBinaryOp < internal::scalar_min_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const OtherDerived > | cwiseMin (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseBinaryOp < internal::scalar_min_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const ConstantReturnType > | cwiseMin (const Scalar &other) const |
const CwiseBinaryOp < std::not_equal_to< Scalar > , const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, const OtherDerived > | cwiseNotEqual (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseBinaryOp < internal::scalar_quotient_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const OtherDerived > | cwiseQuotient (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseUnaryOp < internal::scalar_sqrt_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | cwiseSqrt () const |
const Scalar * | data () const |
Scalar * | data () |
const | EIGEN_CWISE_PRODUCT_RETURN_TYPE (Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, OtherDerived) operator*(const Eigen |
const | EIGEN_CWISE_PRODUCT_RETURN_TYPE (Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, OtherDerived) cwiseProduct(const Eigen |
EvalReturnType | eval () const |
void | evalTo (Dest &) const |
const CwiseUnaryOp < internal::scalar_exp_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | exp () const |
void | fill (const Scalar &value) |
const Flagged< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, Added, Removed > | flagged () const |
const ForceAlignedAccess < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | forceAlignedAccess () const |
ForceAlignedAccess< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | forceAlignedAccess () |
const internal::conditional < Enable, ForceAlignedAccess < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & >::type | forceAlignedAccessIf () const |
internal::conditional< Enable, ForceAlignedAccess< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & >::type | forceAlignedAccessIf () |
const WithFormat< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | format (const IOFormat &fmt) const |
SegmentReturnType | head (Index size) |
DenseBase::ConstSegmentReturnType | head (Index size) const |
FixedSegmentReturnType< Size > ::Type | head () |
ConstFixedSegmentReturnType < Size >::Type | head () const |
const ImagReturnType | imag () const |
NonConstImagReturnType | imag () |
Index | innerSize () const |
Index | innerStride () const |
const CwiseUnaryOp < internal::scalar_inverse_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | inverse () const |
bool | isApprox (const DenseBase< OtherDerived > &other, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isApproxToConstant (const Scalar &value, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isConstant (const Scalar &value, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isMuchSmallerThan (const RealScalar &other, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isMuchSmallerThan (const DenseBase< OtherDerived > &other, RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isOnes (RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
bool | isZero (RealScalar prec=NumTraits< Scalar >::dummy_precision()) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | lazyAssign (const DenseBase< OtherDerived > &other) |
ColsBlockXpr | leftCols (Index n) |
ConstColsBlockXpr | leftCols (Index n) const |
NColsBlockXpr< N >::Type | leftCols () |
ConstNColsBlockXpr< N >::Type | leftCols () const |
const CwiseUnaryOp < internal::scalar_log_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | log () const |
RealScalar | lpNorm () const |
MatrixWrapper< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | matrix () |
const MatrixWrapper< const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | matrix () const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | maxCoeff () const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | maxCoeff (IndexType *row, IndexType *col) const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | maxCoeff (IndexType *index) const |
Scalar | mean () const |
ColsBlockXpr | middleCols (Index startCol, Index numCols) |
ConstColsBlockXpr | middleCols (Index startCol, Index numCols) const |
NColsBlockXpr< N >::Type | middleCols (Index startCol) |
ConstNColsBlockXpr< N >::Type | middleCols (Index startCol) const |
RowsBlockXpr | middleRows (Index startRow, Index numRows) |
ConstRowsBlockXpr | middleRows (Index startRow, Index numRows) const |
NRowsBlockXpr< N >::Type | middleRows (Index startRow) |
ConstNRowsBlockXpr< N >::Type | middleRows (Index startRow) const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | minCoeff () const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | minCoeff (IndexType *row, IndexType *col) const |
internal::traits< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar | minCoeff (IndexType *index) const |
const NestByValue< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | nestByValue () const |
Index | nonZeros () const |
const CwiseBinaryOp < internal::scalar_boolean_and_op, const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, const OtherDerived > | operator&& (const Eigen::ArrayBase< OtherDerived > &other) const |
const ScalarMultipleReturnType | operator* (const Scalar &scalar) const |
const ScalarMultipleReturnType | operator* (const RealScalar &scalar) const |
const CwiseUnaryOp < internal::scalar_multiple2_op < Scalar, std::complex< Scalar > >, const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator* (const std::complex< Scalar > &scalar) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator*= (const ArrayBase< OtherDerived > &other) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator*= (const Scalar &other) |
const CwiseUnaryOp < internal::scalar_add_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator+ (const Scalar &scalar) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator+= (const Scalar &scalar) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator+= (const ArrayBase< OtherDerived > &other) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator+= (const EigenBase< OtherDerived > &other) |
const CwiseUnaryOp < internal::scalar_opposite_op < typename internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator- () const |
const CwiseUnaryOp < internal::scalar_add_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator- (const Scalar &scalar) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator-= (const Scalar &scalar) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator-= (const ArrayBase< OtherDerived > &other) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator-= (const EigenBase< OtherDerived > &other) |
const CwiseBinaryOp < internal::scalar_quotient_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , const OtherDerived > | operator/ (const Eigen::ArrayBase< OtherDerived > &other) const |
const CwiseUnaryOp < internal::scalar_quotient1_op < typename internal::traits < Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >::Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator/ (const Scalar &scalar) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator/= (const ArrayBase< OtherDerived > &other) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator/= (const Scalar &other) |
CommaInitializer< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator<< (const Scalar &s) |
CommaInitializer< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | operator<< (const DenseBase< OtherDerived > &other) |
template<typename OtherDerived > | |
Array & | operator= (const EigenBase< OtherDerived > &other) |
template<typename OtherDerived > | |
Array & | operator= (const ArrayBase< OtherDerived > &other) |
Array & | operator= (const Array &other) |
const CwiseBinaryOp < internal::scalar_boolean_or_op, const Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, const OtherDerived > | operator|| (const Eigen::ArrayBase< OtherDerived > &other) const |
Index | outerSize () const |
Index | outerStride () const |
PacketScalar | packet (Index row, Index col) const |
PacketScalar | packet (Index index) const |
const CwiseUnaryOp < internal::scalar_pow_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | pow (const Scalar &exponent) const |
Scalar | prod () const |
RealReturnType | real () const |
NonConstRealReturnType | real () |
const Replicate< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , RowFactor, ColFactor > | replicate () const |
const Replicate< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , Dynamic, Dynamic > | replicate (Index rowFacor, Index colFactor) const |
void | resize (Index rows, Index cols) |
void | resize (Index size) |
void | resize (NoChange_t, Index cols) |
void | resize (Index rows, NoChange_t) |
void | resizeLike (const EigenBase< OtherDerived > &_other) |
ReverseReturnType | reverse () |
ConstReverseReturnType | reverse () const |
void | reverseInPlace () |
ColsBlockXpr | rightCols (Index n) |
ConstColsBlockXpr | rightCols (Index n) const |
NColsBlockXpr< N >::Type | rightCols () |
ConstNColsBlockXpr< N >::Type | rightCols () const |
RowXpr | row (Index i) |
ConstRowXpr | row (Index i) const |
Index | rows () const |
ConstRowwiseReturnType | rowwise () const |
RowwiseReturnType | rowwise () |
SegmentReturnType | segment (Index start, Index size) |
DenseBase::ConstSegmentReturnType | segment (Index start, Index size) const |
FixedSegmentReturnType< Size > ::Type | segment (Index start) |
ConstFixedSegmentReturnType < Size >::Type | segment (Index start) const |
const Select< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , ThenDerived, ElseDerived > | select (const DenseBase< ThenDerived > &thenMatrix, const DenseBase< ElseDerived > &elseMatrix) const |
const Select< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , ThenDerived, typename ThenDerived::ConstantReturnType > | select (const DenseBase< ThenDerived > &thenMatrix, typename ThenDerived::Scalar elseScalar) const |
const Select< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, typename ElseDerived::ConstantReturnType, ElseDerived > | select (typename ElseDerived::Scalar thenScalar, const DenseBase< ElseDerived > &elseMatrix) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setConstant (const Scalar &value) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setConstant (Index size, const Scalar &value) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setConstant (Index rows, Index cols, const Scalar &value) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setLinSpaced (Index size, const Scalar &low, const Scalar &high) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setLinSpaced (const Scalar &low, const Scalar &high) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setOnes () |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setOnes (Index size) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setOnes (Index rows, Index cols) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setRandom () |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setRandom (Index size) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setRandom (Index rows, Index cols) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setZero () |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setZero (Index size) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | setZero (Index rows, Index cols) |
const CwiseUnaryOp < internal::scalar_sin_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | sin () const |
const CwiseUnaryOp < internal::scalar_sqrt_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | sqrt () const |
const CwiseUnaryOp < internal::scalar_square_op < Scalar >, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | square () const |
Scalar | sum () const |
template<typename OtherDerived > | |
void | swap (ArrayBase< OtherDerived > const &other) |
void | swap (const DenseBase< OtherDerived > &other, int=OtherDerived::ThisConstantIsPrivateInPlainObjectBase) |
void | swap (PlainObjectBase< OtherDerived > &other) |
SegmentReturnType | tail (Index size) |
DenseBase::ConstSegmentReturnType | tail (Index size) const |
FixedSegmentReturnType< Size > ::Type | tail () |
ConstFixedSegmentReturnType < Size >::Type | tail () const |
const CwiseUnaryOp < internal::scalar_tan_op < Scalar >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | tan () const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | topLeftCorner (Index cRows, Index cCols) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | topLeftCorner (Index cRows, Index cCols) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, CRows, CCols > | topLeftCorner () |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , CRows, CCols > | topLeftCorner () const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | topRightCorner (Index cRows, Index cCols) |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | topRightCorner (Index cRows, Index cCols) const |
Block< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols >, CRows, CCols > | topRightCorner () |
const Block< const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > , CRows, CCols > | topRightCorner () const |
RowsBlockXpr | topRows (Index n) |
ConstRowsBlockXpr | topRows (Index n) const |
NRowsBlockXpr< N >::Type | topRows () |
ConstNRowsBlockXpr< N >::Type | topRows () const |
Scalar | trace () const |
Eigen::Transpose< Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | transpose () |
ConstTransposeReturnType | transpose () const |
void | transposeInPlace () |
const CwiseUnaryOp < CustomUnaryOp, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | unaryExpr (const CustomUnaryOp &func=CustomUnaryOp()) const |
Apply a unary operator coefficient-wise. | |
const CwiseUnaryView < CustomViewOp, const Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | unaryViewExpr (const CustomViewOp &func=CustomViewOp()) const |
CoeffReturnType | value () const |
void | visit (Visitor &func) const |
void | writePacket (Index row, Index col, const PacketScalar &x) |
void | writePacket (Index index, const PacketScalar &x) |
Static Public Member Functions | |
static const ConstantReturnType | Constant (Index rows, Index cols, const Scalar &value) |
static const ConstantReturnType | Constant (Index size, const Scalar &value) |
static const ConstantReturnType | Constant (const Scalar &value) |
static const SequentialLinSpacedReturnType | LinSpaced (Sequential_t, Index size, const Scalar &low, const Scalar &high) |
static const RandomAccessLinSpacedReturnType | LinSpaced (Index size, const Scalar &low, const Scalar &high) |
static const SequentialLinSpacedReturnType | LinSpaced (Sequential_t, const Scalar &low, const Scalar &high) |
static const RandomAccessLinSpacedReturnType | LinSpaced (const Scalar &low, const Scalar &high) |
static const CwiseNullaryOp < CustomNullaryOp, Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | NullaryExpr (Index rows, Index cols, const CustomNullaryOp &func) |
static const CwiseNullaryOp < CustomNullaryOp, Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | NullaryExpr (Index size, const CustomNullaryOp &func) |
static const CwiseNullaryOp < CustomNullaryOp, Array < _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | NullaryExpr (const CustomNullaryOp &func) |
static const ConstantReturnType | Ones (Index rows, Index cols) |
static const ConstantReturnType | Ones (Index size) |
static const ConstantReturnType | Ones () |
static const CwiseNullaryOp < internal::scalar_random_op < Scalar >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | Random (Index rows, Index cols) |
static const CwiseNullaryOp < internal::scalar_random_op < Scalar >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | Random (Index size) |
static const CwiseNullaryOp < internal::scalar_random_op < Scalar >, Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > > | Random () |
static const ConstantReturnType | Zero (Index rows, Index cols) |
static const ConstantReturnType | Zero (Index size) |
static const ConstantReturnType | Zero () |
Map | |
static ConstMapType | Map (const Scalar *data) |
static MapType | Map (Scalar *data) |
static ConstMapType | Map (const Scalar *data, Index size) |
static MapType | Map (Scalar *data, Index size) |
static ConstMapType | Map (const Scalar *data, Index rows, Index cols) |
static MapType | Map (Scalar *data, Index rows, Index cols) |
static StridedConstMapType < Stride< Outer, Inner > >::type | Map (const Scalar *data, const Stride< Outer, Inner > &stride) |
static StridedMapType< Stride < Outer, Inner > >::type | Map (Scalar *data, const Stride< Outer, Inner > &stride) |
static StridedConstMapType < Stride< Outer, Inner > >::type | Map (const Scalar *data, Index size, const Stride< Outer, Inner > &stride) |
static StridedMapType< Stride < Outer, Inner > >::type | Map (Scalar *data, Index size, const Stride< Outer, Inner > &stride) |
static StridedConstMapType < Stride< Outer, Inner > >::type | Map (const Scalar *data, Index rows, Index cols, const Stride< Outer, Inner > &stride) |
static StridedMapType< Stride < Outer, Inner > >::type | Map (Scalar *data, Index rows, Index cols, const Stride< Outer, Inner > &stride) |
static ConstAlignedMapType | MapAligned (const Scalar *data) |
static AlignedMapType | MapAligned (Scalar *data) |
static ConstAlignedMapType | MapAligned (const Scalar *data, Index size) |
static AlignedMapType | MapAligned (Scalar *data, Index size) |
static ConstAlignedMapType | MapAligned (const Scalar *data, Index rows, Index cols) |
static AlignedMapType | MapAligned (Scalar *data, Index rows, Index cols) |
static StridedConstAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (const Scalar *data, const Stride< Outer, Inner > &stride) |
static StridedAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (Scalar *data, const Stride< Outer, Inner > &stride) |
static StridedConstAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (const Scalar *data, Index size, const Stride< Outer, Inner > &stride) |
static StridedAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (Scalar *data, Index size, const Stride< Outer, Inner > &stride) |
static StridedConstAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (const Scalar *data, Index rows, Index cols, const Stride< Outer, Inner > &stride) |
static StridedAlignedMapType < Stride< Outer, Inner > >::type | MapAligned (Scalar *data, Index rows, Index cols, const Stride< Outer, Inner > &stride) |
Protected Member Functions | |
void | _init2 (Index rows, Index cols, typename internal::enable_if< Base::SizeAtCompileTime!=2, T0 >::type *=0) |
void | _init2 (const Scalar &x, const Scalar &y, typename internal::enable_if< Base::SizeAtCompileTime==2, T0 >::type *=0) |
void | _resize_to_match (const EigenBase< OtherDerived > &other) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | _set (const DenseBase< OtherDerived > &other) |
Copies the value of the expression other into *this with automatic resizing. | |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | _set_noalias (const DenseBase< OtherDerived > &other) |
void | _set_selector (const OtherDerived &other, const internal::true_type &) |
void | _set_selector (const OtherDerived &other, const internal::false_type &) |
void | _swap (DenseBase< OtherDerived > const &other) |
void | checkTransposeAliasing (const OtherDerived &other) const |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator+= (const MatrixBase< OtherDerived > &) |
Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > & | operator-= (const MatrixBase< OtherDerived > &) |
Protected Attributes | |
DenseStorage< Scalar, Base::MaxSizeAtCompileTime, Base::RowsAtCompileTime, Base::ColsAtCompileTime, Options > | m_storage |
General-purpose arrays with easy API for coefficient-wise operations.
The Array class is very similar to the Matrix class. It provides general-purpose one- and two-dimensional arrays. The difference between the Array and the Matrix class is primarily in the API: the API for the Array class provides easy access to coefficient-wise operations, while the API for the Matrix class provides easy access to linear-algebra operations.
This class can be extended with the help of the plugin mechanism described on the page Customizing/Extending Eigen by defining the preprocessor symbol EIGEN_ARRAY_PLUGIN
.
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inherited |
typedef PlainObjectBase<Array> Base |
Reimplemented from PlainObjectBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
|
inherited |
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inherited |
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inherited |
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inherited |
|
inherited |
|
inherited |
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inherited |
|
inherited |
|
inherited |
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inherited |
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inherited |
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
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inherited |
|
inherited |
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
typedef Base::PlainObject PlainObject |
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inherited |
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
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inherited |
|
inherited |
|
inherited |
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
|
inherited |
|
inherited |
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
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inherited |
|
inherited |
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inherited |
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inherited |
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inlineexplicit |
Default constructor.
For fixed-size matrices, does nothing.
For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix is called a null matrix. This constructor is the unique way to create null matrices: resizing a matrix to 0 is not supported.
Constructs a vector or row-vector with given dimension. This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Note that this is only useful for dynamic-size vectors. For fixed-size vectors, it is redundant to pass the dimension here, so it makes more sense to use the default constructor Matrix() instead.
constructs an uninitialized matrix with rows rows and cols columns.
This is useful for dynamic-size matrices. For fixed-size matrices, it is redundant to pass these parameters, so one should use the default constructor Matrix() instead.
constructs an initialized 2D vector with given coefficients
constructs an initialized 3D vector with given coefficients
constructs an initialized 4D vector with given coefficients
Constructor copying the value of the expression other
Copy constructor
|
inline |
Copy constructor with in-place evaluation
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inlineprotectedinherited |
|
inlineprotectedinherited |
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inlineprotectedinherited |
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inlineprotectedinherited |
Copies the value of the expression other into *this
with automatic resizing.
*this might be resized to match the dimensions of other. If *this was a null matrix (not already initialized), it will be initialized.
Note that copying a row-vector into a vector (and conversely) is allowed. The resizing, if any, is then done in the appropriate way so that row-vectors remain row-vectors and vectors remain vectors.
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inlineprotectedinherited |
|
inlineprotectedinherited |
|
inlineprotectedinherited |
|
inlineprotectedinherited |
Referenced by Array< Index, 64, 1 >::swap().
|
inlineinherited |
*this
Example:
Output:
1 2 3
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inlineinherited |
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inlineinherited |
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inherited |
Example:
Output:
Is ( 0.68 -0.211 0.566) inside the box: 0 Is (0.597 0.823 0.605) inside the box: 1
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inherited |
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inlineinherited |
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inlineinherited |
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inlineinherited |
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inlineinherited |
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inlineinherited |
*this
and other *this
and other The template parameter CustomBinaryOp is the type of the functor of the custom operator (see class CwiseBinaryOp for an example)
Here is an example illustrating the use of custom functors:
Output:
(0.68,0.271) (0.823,-0.967) (-0.444,-0.687) (-0.27,0.998) (-0.211,0.435) (-0.605,-0.514) (0.108,-0.198) (0.0268,-0.563) (0.566,-0.717) (-0.33,-0.726) (-0.0452,-0.74) (0.904,0.0259) (0.597,0.214) (0.536,0.608) (0.258,-0.782) (0.832,0.678)
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inlineinherited |
startRow | the first row in the block |
startCol | the first column in the block |
blockRows | the number of rows in the block |
blockCols | the number of columns in the block |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.block(1, 1, 2, 2): -6 1 -3 0 Now the matrix m is: 7 9 -5 -3 -2 0 0 0 6 0 0 9 6 6 3 9
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inlineinherited |
This is the const version of block(Index,Index,Index,Index).
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inlineinherited |
The template parameters BlockRows and BlockCols are the number of rows and columns in the block.
startRow | the first row in the block |
startCol | the first column in the block |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.block<2,2>(1,1): -6 1 -3 0 Now the matrix m is: 7 9 -5 -3 -2 0 0 0 6 0 0 9 6 6 3 9
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inlineinherited |
This is the const version of block<>(Index, Index).
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inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomLeftCorner(2, 2): 6 -3 6 6 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of bottomLeftCorner(Index, Index).
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inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomLeftCorner<2,2>(): 6 -3 6 6 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of bottomLeftCorner<int, int>().
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inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomRightCorner(2, 2): 0 9 3 9 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of bottomRightCorner(Index, Index).
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inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.bottomRightCorner<2,2>(): 0 9 3 9 Now the matrix m is: 7 9 -5 -3 -2 -6 1 0 6 -3 0 0 6 6 0 0
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inlineinherited |
This is the const version of bottomRightCorner<int, int>().
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inlineinherited |
n | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.bottomRows(2): 6 -3 0 9 6 6 3 9 Now the array a is: 7 9 -5 -3 -2 -6 1 0 0 0 0 0 0 0 0 0
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inlineinherited |
This is the const version of bottomRows(Index).
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inlineinherited |
N | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.bottomRows<2>(): 6 -3 0 9 6 6 3 9 Now the array a is: 7 9 -5 -3 -2 -6 1 0 0 0 0 0 0 0 0 0
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inlineinherited |
This is the const version of bottomRows<int>().
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inlineinherited |
The template parameter NewScalar is the type we are casting the scalars to.
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protectedinherited |
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inlineinherited |
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inlineinherited |
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inherited |
Example:
Output:
Here is the matrix m: 0.68 0.597 -0.33 -0.211 0.823 0.536 0.566 -0.605 -0.444 Here is the sum of each column: 1.04 0.815 -0.238 Here is the maximum absolute value of each column: 0.68 0.823 0.536
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inherited |
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inlineinherited |
*this
.Resizes the matrix to rows x cols while leaving old values untouched.
The method is intended for matrices of dynamic size. If you only want to change the number of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or conservativeResize(Index, NoChange_t).
Matrices are resized relative to the top-left element. In case values need to be appended to the matrix they will be uninitialized.
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inlineinherited |
Resizes the matrix to rows x cols while leaving old values untouched.
As opposed to conservativeResize(Index rows, Index cols), this version leaves the number of columns unchanged.
In case the matrix is growing, new rows will be uninitialized.
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inlineinherited |
Resizes the matrix to rows x cols while leaving old values untouched.
As opposed to conservativeResize(Index rows, Index cols), this version leaves the number of rows unchanged.
In case the matrix is growing, new columns will be uninitialized.
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inlineinherited |
Resizes the vector to size while retaining old values.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.. This method does not work for partially dynamic matrices when the static dimension is anything other than 1. For example it will not work with Matrix<double, 2, Dynamic>.
When values are appended, they will be uninitialized.
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inlineinherited |
Resizes the matrix to rows x cols of other
, while leaving old values untouched.
The method is intended for matrices of dynamic size. If you only want to change the number of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or conservativeResize(Index, NoChange_t).
Matrices are resized relative to the top-left element. In case values need to be appended to the matrix they will copied from other
.
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staticinherited |
The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this DenseBase type.
This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.
The template parameter CustomNullaryOp is the type of the functor.
The parameter size is the size of the returned vector. Must be compatible with this DenseBase type.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.
The template parameter CustomNullaryOp is the type of the functor.
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staticinherited |
This variant is only for fixed-size DenseBase types. For dynamic-size types, you need to use the variants taking size arguments.
The template parameter CustomNullaryOp is the type of the functor.
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inlineinherited |
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inherited |
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inlineinherited |
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inlineinherited |
*this
Example:
Output:
2 4 6 5 1 0
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inlineinherited |
*this
Example:
Output:
4 16 36 25 1 0
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inlineinherited |
*this
and other Example:
Output:
2 2 3
*this
and scalar other
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inlineinherited |
*this
and other Example:
Output:
4 3 4
*this
and scalar other
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inlineinherited |
Example:
Output:
Comparing m with identity matrix: 1 1 0 1 Number of coefficients that are equal: 3
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inlineinherited |
*this
and a scalar s
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inlineinherited |
Example:
Output:
0.5 2 1 0.333 4 1
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inlineinherited |
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inlineinherited |
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inlineinherited |
|
inlineinherited |
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inlineinherited |
Example:
Output:
Comparing m with identity matrix: 0 0 1 0 Number of coefficients that are not equal: 1
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inlineinherited |
Example:
Output:
0.5 1.5 1.33
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inlineinherited |
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inlineinherited |
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inlineinherited |
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inlineinherited |
*this
and other
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inlineinherited |
Example:
Output:
a: 7 6 -3 -2 9 6 6 -6 -5 b: 1 -3 9 0 0 3 3 9 5 c: 7 -18 -27 0 0 18 18 -54 -25
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inlineinherited |
Notice that in the case of a plain matrix or vector (not an expression) this function just returns a const reference, in order to avoid a useless copy.
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inlineinherited |
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inlineinherited |
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inherited |
Alias for setConstant(): sets all coefficients in this expression to value.
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inherited |
This is mostly for internal use.
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inlineinherited |
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inlineinherited |
|
inlineinherited |
|
inlineinherited |
|
inlineinherited |
See class IOFormat for some examples.
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inherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
size | the number of coefficients in the block |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.head(2): 7 -2 Now the vector v is: 0 0 6 6
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inherited |
This is the const version of head(Index).
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inherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
The template parameter Size is the number of coefficients in the block
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.head(2): 7 -2 Now the vector v is: 0 0 6 6
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inherited |
This is the const version of head<int>().
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inlineinherited |
*this
.
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inlineinherited |
*this
.
|
inlineinherited |
Referenced by Array< Index, 64, 1 >::outerStride().
|
inline |
|
inlineinherited |
Example:
Output:
0.5 0.333 0.25
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inherited |
true
if *this
is approximately equal to other, within the precision determined by prec.
*this
is approximately equal to the zero matrix or vector. Indeed, isApprox(zero)
returns false unless *this
itself is exactly the zero matrix or vector. If you want to test whether *this
is zero, use internal::isMuchSmallerThan(const RealScalar&, RealScalar) instead.
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inherited |
|
inherited |
This is just an alias for isApproxToConstant().
|
inherited |
|
inherited |
true
if the norm of *this
is much smaller than the norm of other, within the precision determined by prec.
|
inherited |
Example:
Output:
Here's the matrix m: 1 1 1 1 1 1 1 1 1 m.isOnes() returns: 0 m.isOnes(1e-3) returns: 1
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inherited |
Example:
Output:
Here's the matrix m: 0 0 0.0001 0 0 0 0 0 0 m.isZero() returns: 0 m.isZero(1e-3) returns: 1
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inlineinherited |
|
inlineinherited |
n | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.leftCols(2): 7 9 -2 -6 6 -3 6 6 Now the array a is: 0 0 -5 -3 0 0 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of leftCols(Index).
|
inlineinherited |
N | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.leftCols<2>(): 7 9 -2 -6 6 -3 6 6 Now the array a is: 0 0 -5 -3 0 0 1 0 0 0 0 9 0 0 3 9
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inlineinherited |
This is the const version of leftCols<int>().
|
staticinherited |
Sets a linearly space vector.
The function generates 'size' equally spaced values in the closed interval [low,high]. This particular version of LinSpaced() uses sequential access, i.e. vector access is assumed to be a(0), a(1), ..., a(size). This assumption allows for better vectorization and yields faster code than the random access version.
When size is set to 1, a vector of length 1 containing 'high' is returned.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
7 8 9 10 0 0.25 0.5 0.75 1
|
staticinherited |
Sets a linearly space vector.
The function generates 'size' equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
7 8 9 10 0 0.25 0.5 0.75 1
|
staticinherited |
Special version for fixed size types which does not require the size parameter.
|
staticinherited |
Special version for fixed size types which does not require the size parameter.
|
inlineinherited |
Example:
Output:
0 0.693 1.1
|
inherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlinestaticinherited |
|
inlineinherited |
|
inlineinherited |
|
inherited |
|
inherited |
|
inherited |
|
inherited |
startCol | the index of the first column in the block |
numCols | the number of columns in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(1..3,:) = -6 0 9 -3 3 3 6 -3 5 -5 0 -8 1 9 2
This is the const version of middleCols(Index,Index).
|
inlineinherited |
N | the number of columns in the block |
startCol | the index of the first column in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(:,1..3) = -6 0 9 -3 3 3 6 -3 5 -5 0 -8 1 9 2
|
inlineinherited |
This is the const version of middleCols<int>().
startRow | the index of the first row in the block |
numRows | the number of rows in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(2..3,:) = 6 6 -3 5 -8 6 -5 0 -8 6
This is the const version of middleRows(Index,Index).
|
inlineinherited |
N | the number of rows in the block |
startRow | the index of the first row in the block |
Example:
Output:
A = 7 -6 0 9 -10 -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6 9 1 9 2 -7 A(1..3,:) = -2 -3 3 3 -5 6 6 -3 5 -8 6 -5 0 -8 6
|
inlineinherited |
This is the const version of middleRows<int>().
|
inherited |
|
inherited |
|
inherited |
|
inlineinherited |
|
inlineinherited |
|
staticinherited |
The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.
This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.
The template parameter CustomNullaryOp is the type of the functor.
|
staticinherited |
The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.
The template parameter CustomNullaryOp is the type of the functor.
|
staticinherited |
This variant is only for fixed-size DenseBase types. For dynamic-size types, you need to use the variants taking size arguments.
The template parameter CustomNullaryOp is the type of the functor.
The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.
This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Ones() should be used instead.
Example:
Output:
1 1 1 1 1 1
|
staticinherited |
The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Ones() should be used instead.
Example:
Output:
6 6 6 6 1 1
|
staticinherited |
This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.
Example:
Output:
1 1 1 1 6 6 6 6
|
inlineinherited |
Example:
Output:
0 0 0
|
inlineinherited |
*this
scaled by the scalar factor scalar
|
inherited |
|
inlineinherited |
Overloaded for efficient real matrix times complex scalar value
|
inherited |
replaces *this
by *this
* other coefficient wise.
*this
|
inlineinherited |
|
inlineinherited |
Example:
Output:
1 0 0
Example:
Output:
1 1 0
Example:
Output:
0 0 1
Example:
Output:
0 1 1
Example:
Output:
0 1 0
Example:
Output:
1 0 1
*this
with each coeff incremented by the constant scalar Example:
Output:
6 7 8
|
inlineinherited |
|
inherited |
replaces *this
by *this
+ other.
*this
|
inlineprotectedinherited |
|
inherited |
|
inlineinherited |
*this
|
inlineinherited |
*this
with each coeff decremented by the constant scalar Example:
Output:
-4 -3 -2
|
inlineinherited |
|
inherited |
replaces *this
by *this
- other.
*this
|
inlineprotectedinherited |
|
inherited |
|
inlineinherited |
*this
and other
|
inlineinherited |
*this
divided by the scalar value scalar
|
inherited |
replaces *this
by *this
/ other coefficient wise.
*this
|
inlineinherited |
|
inherited |
Convenient operator to set the coefficients of a matrix.
The coefficients must be provided in a row major order and exactly match the size of the matrix. Otherwise an assertion is raised.
Example:
Output:
1 2 3 4 5 6 7 8 9 10 11 0 12 13 0 0 0 1 14 15 16 14 5 6 15 8 9
|
inherited |
The usage of using Base::operator=; fails on MSVC. Since the code below is working with GCC and MSVC, we skipped the usage of 'using'. This should be done only for operator=.
Reimplemented from PlainObjectBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
Copies the value of the expression other into *this
with automatic resizing.
*this might be resized to match the dimensions of other. If *this was a null matrix (not already initialized), it will be initialized.
Note that copying a row-vector into a vector (and conversely) is allowed. The resizing, if any, is then done in the appropriate way so that row-vectors remain row-vectors and vectors remain vectors.
|
inline |
This is a special case of the templated operator=. Its purpose is to prevent a default operator= from hiding the templated operator=.
|
inlineinherited |
Example:
Output:
1 0 1
|
inlineinherited |
|
inline |
|
inlineinherited |
|
inlineinherited |
|
inlineinherited |
|
inherited |
Example:
Output:
Here is the matrix m: 0.68 0.597 -0.33 -0.211 0.823 0.536 0.566 -0.605 -0.444 Here is the product of all the coefficients: 0.0019
|
staticinherited |
The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.
This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Random() should be used instead.
Example:
Output:
7 6 9 -2 6 -6
This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary matrix whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.
|
staticinherited |
The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Random() should be used instead.
Example:
Output:
7 -2
This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary vector whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.
|
staticinherited |
This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.
Example:
Output:
700 600 -200 600
This expression has the "evaluate before nesting" flag so that it will be evaluated into a temporary matrix whenever it is nested in a larger expression. This prevents unexpected behavior with expressions involving random matrices.
|
inlineinherited |
*this
.
|
inlineinherited |
*this
.
|
inherited |
*this
Example:
Output:
Here is the matrix m: 7 6 9 -2 6 -6 m.replicate<3,2>() = ... 7 6 9 7 6 9 -2 6 -6 -2 6 -6 7 6 9 7 6 9 -2 6 -6 -2 6 -6 7 6 9 7 6 9 -2 6 -6 -2 6 -6
|
inherited |
*this
Example:
Output:
Here is the vector v: 7 -2 6 v.replicate(2,5) = ... 7 7 7 7 7 -2 -2 -2 -2 -2 6 6 6 6 6 7 7 7 7 7 -2 -2 -2 -2 -2 6 6 6 6 6
Resizes *this
to a rows x cols matrix.
This method is intended for dynamic-size matrices, although it is legal to call it on any matrix as long as fixed dimensions are left unchanged. If you only want to change the number of rows and/or of columns, you can use resize(NoChange_t, Index), resize(Index, NoChange_t).
If the current number of coefficients of *this
exactly matches the product rows * cols, then no memory allocation is performed and the current values are left unchanged. In all other cases, including shrinking, the data is reallocated and all previous values are lost.
Example:
Output:
here's the 2x3 matrix m: 1 2 3 4 5 6 let's resize m to 3x2. This is a conservative resizing because 2*3==3*2. here's the 3x2 matrix m: 1 5 4 3 2 6 now let's resize m to size 2x2. This is NOT a conservative resizing, so it becomes uninitialized: 1 2 4 5
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
|
inlineinherited |
Resizes *this
to a vector of length size
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.. This method does not work for partially dynamic matrices when the static dimension is anything other than 1. For example it will not work with Matrix<double, 2, Dynamic>.
Example:
Output:
v: 3 rows, 1 cols w: 1 rows, 3 cols
Reimplemented from DenseBase< Array< _Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols > >.
|
inlineinherited |
Resizes the matrix, changing only the number of columns. For the parameter of type NoChange_t, just pass the special value NoChange
as in the example below.
Example:
Output:
m: 3 rows, 5 cols
|
inlineinherited |
Resizes the matrix, changing only the number of rows. For the parameter of type NoChange_t, just pass the special value NoChange
as in the example below.
Example:
Output:
m: 5 rows, 4 cols
|
inlineinherited |
Resizes *this
to have the same dimensions as other. Takes care of doing all the checking that's needed.
Note that copying a row-vector into a vector (and conversely) is allowed. The resizing, if any, is then done in the appropriate way so that row-vectors remain row-vectors and vectors remain vectors.
|
inherited |
Example:
Output:
Here is the matrix m: 7 6 -3 1 -2 9 6 0 6 -6 -5 3 Here is the reverse of m: 3 -5 -6 6 0 6 9 -2 1 -3 6 7 Here is the coefficient (1,0) in the reverse of m: 0 Let us overwrite this coefficient with the value 4. Now the matrix m is: 7 6 -3 1 -2 9 6 4 6 -6 -5 3
|
inherited |
This is the const version of reverse().
|
inherited |
This is the "in place" version of reverse: it reverses *this
.
In most cases it is probably better to simply use the reversed expression of a matrix. However, when reversing the matrix data itself is really needed, then this "in-place" version is probably the right choice because it provides the following additional features:
|
inlineinherited |
n | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.rightCols(2): -5 -3 1 0 0 9 3 9 Now the array a is: 7 9 0 0 -2 -6 0 0 6 -3 0 0 6 6 0 0
|
inlineinherited |
This is the const version of rightCols(Index).
|
inlineinherited |
N | the number of columns in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.rightCols<2>(): -5 -3 1 0 0 9 3 9 Now the array a is: 7 9 0 0 -2 -6 0 0 6 -3 0 0 6 6 0 0
|
inlineinherited |
This is the const version of rightCols<int>().
|
inlineinherited |
|
inlineinherited |
|
inherited |
Example:
Output:
Here is the matrix m: 0.68 0.597 -0.33 -0.211 0.823 0.536 0.566 -0.605 -0.444 Here is the sum of each row: 0.948 1.15 -0.483 Here is the maximum absolute value of each row: 0.68 0.823 0.605
|
inherited |
|
inherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
start | the first coefficient in the segment |
size | the number of coefficients in the segment |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.segment(1, 2): -2 6 Now the vector v is: 7 0 0 6
|
inherited |
This is the const version of segment(Index,Index).
|
inherited |
*this
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
The template parameter Size is the number of coefficients in the block
start | the index of the first element of the sub-vector |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.segment<2>(1): -2 6 Now the vector v is: 7 -2 0 0
|
inherited |
This is the const version of segment<int>(Index).
|
inlineinherited |
Version of DenseBase::select(const DenseBase&, const DenseBase&) with the else expression being a scalar value.
|
inlineinherited |
Version of DenseBase::select(const DenseBase&, const DenseBase&) with the then expression being a scalar value.
|
inherited |
Sets all coefficients in this expression to value.
|
inherited |
Resizes to the given size, and sets all coefficients in this expression to the given value.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
5 5 5
|
inherited |
Resizes to the given size, and sets all coefficients in this expression to the given value.
rows | the new number of rows |
cols | the new number of columns |
value | the value to which all coefficients are set |
Example:
Output:
5 5 5 5 5 5 5 5 5
|
inherited |
Sets a linearly space vector.
The function generates 'size' equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
0.5 0.75 1 1.25 1.5
|
inherited |
Sets a linearly space vector.
The function fill *this with equally spaced values in the closed interval [low,high]. When size is set to 1, a vector of length 1 containing 'high' is returned.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
|
inherited |
Sets all coefficients in this expression to one.
Example:
Output:
7 9 -5 -3 1 1 1 1 6 -3 0 9 6 6 3 9
Resizes to the given size, and sets all coefficients in this expression to one.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
1 1 1
|
inherited |
Resizes to the given size, and sets all coefficients in this expression to one.
rows | the new number of rows |
cols | the new number of columns |
Example:
Output:
1 1 1 1 1 1 1 1 1
|
inherited |
Sets all coefficients in this expression to random values.
Example:
Output:
0 7 0 0 0 -2 0 0 0 6 0 0 0 6 0 0
Resizes to the given size, and sets all coefficients in this expression to random values.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
0.68 -0.211 0.566
|
inherited |
Resizes to the given size, and sets all coefficients in this expression to random values.
rows | the new number of rows |
cols | the new number of columns |
Example:
Output:
0.68 0.597 -0.33 -0.211 0.823 0.536 0.566 -0.605 -0.444
|
inherited |
Sets all coefficients in this expression to zero.
Example:
Output:
7 9 -5 -3 0 0 0 0 6 -3 0 9 6 6 3 9
Resizes to the given size, and sets all coefficients in this expression to zero.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
Example:
Output:
0 0 0
|
inherited |
Resizes to the given size, and sets all coefficients in this expression to zero.
rows | the new number of rows |
cols | the new number of columns |
Example:
Output:
0 0 0 0 0 0 0 0 0
|
inlineinherited |
|
inlineinherited |
|
inlineinherited |
Example:
Output:
4 9 16
|
inherited |
|
inline |
Override MatrixBase::swap() since for dynamic-sized matrices of same type it is enough to swap the data pointers.
|
inlineinherited |
swaps *this with the expression other.
|
inlineinherited |
swaps *this with the matrix or array other.
|
inherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
size | the number of coefficients in the block |
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.tail(2): 6 6 Now the vector v is: 7 -2 0 0
|
inherited |
This is the const version of tail(Index).
|
inherited |
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
The template parameter Size is the number of coefficients in the block
Example:
Output:
Here is the vector v: 7 -2 6 6 Here is v.tail(2): 6 6 Now the vector v is: 7 -2 0 0
|
inherited |
This is the const version of tail<int>.
|
inlineinherited |
|
inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topLeftCorner(2, 2): 7 9 -2 -6 Now the matrix m is: 0 0 -5 -3 0 0 1 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topLeftCorner(Index, Index).
|
inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topLeftCorner<2,2>(): 7 9 -2 -6 Now the matrix m is: 0 0 -5 -3 0 0 1 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topLeftCorner<int, int>().
|
inlineinherited |
cRows | the number of rows in the corner |
cCols | the number of columns in the corner |
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topRightCorner(2, 2): -5 -3 1 0 Now the matrix m is: 7 9 0 0 -2 -6 0 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topRightCorner(Index, Index).
|
inlineinherited |
The template parameters CRows and CCols are the number of rows and columns in the corner.
Example:
Output:
Here is the matrix m: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is m.topRightCorner<2,2>(): -5 -3 1 0 Now the matrix m is: 7 9 0 0 -2 -6 0 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topRightCorner<int, int>().
|
inlineinherited |
n | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.topRows(2): 7 9 -5 -3 -2 -6 1 0 Now the array a is: 0 0 0 0 0 0 0 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topRows(Index).
|
inlineinherited |
N | the number of rows in the block |
Example:
Output:
Here is the array a: 7 9 -5 -3 -2 -6 1 0 6 -3 0 9 6 6 3 9 Here is a.topRows<2>(): 7 9 -5 -3 -2 -6 1 0 Now the array a is: 0 0 0 0 0 0 0 0 6 -3 0 9 6 6 3 9
|
inlineinherited |
This is the const version of topRows<int>().
|
inherited |
|
inherited |
Example:
Output:
Here is the matrix m: 7 6 -2 6 Here is the transpose of m: 7 -2 6 6 Here is the coefficient (1,0) in the transpose of m: 6 Let us overwrite this coefficient with the value 0. Now the matrix m is: 7 0 -2 6
|
inherited |
This is the const version of transpose().
Make sure you read the warning for transpose() !
|
inherited |
This is the "in place" version of transpose(): it replaces *this
by its own transpose. Thus, doing
has the same effect on m as doing
and is faster and also safer because in the latter line of code, forgetting the eval() results in a bug caused by aliasing.
Notice however that this method is only useful if you want to replace a matrix by its own transpose. If you just need the transpose of a matrix, use transpose().
*this
must be a resizable matrix.
|
inlineinherited |
Apply a unary operator coefficient-wise.
[in] | func | Functor implementing the unary operator |
CustomUnaryOp | Type of func |
The function ptr_fun()
from the C++ standard library can be used to make functors out of normal functions.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.68 0.823 0 0 0 0 0.108 0.0268 0.566 0 0 0.904 0.597 0.536 0.258 0.832
Genuine functors allow for more possibilities, for instance it may contain a state.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.5 0.5 -0.444 -0.27 -0.211 -0.5 0.108 0.0268 0.5 -0.33 -0.0452 0.5 0.5 0.5 0.258 0.5
|
inlineinherited |
The template parameter CustomUnaryOp is the type of the functor of the custom unary operator.
Example:
Output:
0.68 0.823 -0.444 -0.27 -0.211 -0.605 0.108 0.0268 0.566 -0.33 -0.0452 0.904 0.597 0.536 0.258 0.832 becomes: 0.5 0.5 -0.444 -0.27 -0.211 -0.5 0.108 0.0268 0.5 -0.33 -0.0452 0.5 0.5 0.5 0.258 0.5
|
inlineinherited |
|
inherited |
Applies the visitor visitor to the whole coefficients of the matrix or vector.
The template parameter Visitor is the type of the visitor and provides the following interface:
|
inlineinherited |
|
inlineinherited |
The parameters rows and cols are the number of rows and of columns of the returned matrix. Must be compatible with this MatrixBase type.
This variant is meant to be used for dynamic-size matrix types. For fixed-size types, it is redundant to pass rows and cols as arguments, so Zero() should be used instead.
Example:
Output:
0 0 0 0 0 0
|
staticinherited |
The parameter size is the size of the returned vector. Must be compatible with this MatrixBase type.
This is only for vectors (either row-vectors or column-vectors), i.e. matrices which are known at compile-time to have either one row or one column.
This variant is meant to be used for dynamic-size vector types. For fixed-size types, it is redundant to pass size as argument, so Zero() should be used instead.
Example:
Output:
0 0 0 0 0 0
|
staticinherited |
This variant is only for fixed-size MatrixBase types. For dynamic-size types, you need to use the variants taking size arguments.
Example:
Output:
0 0 0 0 0 0 0 0
|
protectedinherited |
Referenced by Array< Index, 64, 1 >::Array().