Namespaces | Classes | Typedefs | Enumerations | Functions | Variables

Eigen Namespace Reference

Namespace containing all symbols from the Eigen library. More...

Namespaces

namespace  internal

Classes

class  aligned_allocator
 STL compatible allocator to use with with 16 byte aligned types. More...
class  AlignedBox
 An axis aligned box. More...
class  AlignedVector3
class  AngleAxis
 Represents a 3D rotation as a rotation angle around an arbitrary 3D axis. More...
class  Array
 General-purpose arrays with easy API for coefficient-wise operations. More...
class  ArrayBase
 Base class for all 1D and 2D array, and related expressions. More...
class  ArrayWrapper
 Expression of a mathematical vector or matrix as an array object. More...
struct  ArrayXpr
class  Block
 Expression of a fixed-size or dynamic-size block. More...
class  CholmodDecomposition
class  ColPivHouseholderQR
 Householder rank-revealing QR decomposition of a matrix with column-pivoting. More...
class  CommaInitializer
 Helper class used by the comma initializer operator. More...
class  ComplexEigenSolver
 Computes eigenvalues and eigenvectors of general complex matrices. More...
class  ComplexSchur
 Performs a complex Schur decomposition of a real or complex square matrix. More...
class  CompressedStorage
class  Cwise
 Pseudo expression providing additional coefficient-wise operations. More...
class  CwiseBinaryOp
 Generic expression where a coefficient-wise binary operator is applied to two expressions. More...
class  CwiseNullaryOp
 Generic expression of a matrix where all coefficients are defined by a functor. More...
class  CwiseUnaryOp
 Generic expression where a coefficient-wise unary operator is applied to an expression. More...
class  CwiseUnaryView
 Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector. More...
struct  Dense
class  DenseBase
 Base class for all dense matrices, vectors, and arrays. More...
class  DenseCoeffsBase< Derived, DirectAccessors >
 Base class providing direct read-only coefficient access to matrices and arrays. More...
class  DenseCoeffsBase< Derived, DirectWriteAccessors >
 Base class providing direct read/write coefficient access to matrices and arrays. More...
class  DenseCoeffsBase< Derived, ReadOnlyAccessors >
 Base class providing read-only coefficient access to matrices and arrays. More...
class  DenseCoeffsBase< Derived, WriteAccessors >
 Base class providing read/write coefficient access to matrices and arrays. More...
class  Diagonal
 Expression of a diagonal/subdiagonal/superdiagonal in a matrix. More...
class  DiagonalMatrix
 Represents a diagonal matrix with its storage. More...
class  DiagonalWrapper
 Expression of a diagonal matrix. More...
class  DynamicSparseMatrix
 A sparse matrix class designed for matrix assembly purpose. More...
struct  EigenBase
class  EigenSolver
 Computes eigenvalues and eigenvectors of general matrices. More...
class  Flagged
 Expression with modified flags. More...
class  ForceAlignedAccess
 Enforce aligned packet loads and stores regardless of what is requested. More...
class  FullPivHouseholderQR
 Householder rank-revealing QR decomposition of a matrix with full pivoting. More...
class  FullPivLU
 LU decomposition of a matrix with complete pivoting, and related features. More...
class  GeneralizedSelfAdjointEigenSolver
 Computes eigenvalues and eigenvectors of the generalized selfadjoint eigen problem. More...
class  HessenbergDecomposition
 Reduces a square matrix to Hessenberg form by an orthogonal similarity transformation. More...
class  Homogeneous
 Expression of one (or a set of) homogeneous vector(s). More...
class  HouseholderQR
 Householder QR decomposition of a matrix. More...
class  HouseholderSequence
 Sequence of Householder reflections acting on subspaces with decreasing size. More...
class  HybridNonLinearSolver
class  Hyperplane
 A hyperplane. More...
class  InnerStride
 Convenience specialization of Stride to specify only an inner stride See class Map for some examples. More...
class  IOFormat
 Stores a set of parameters controlling the way matrices are printed. More...
class  IterationController
class  JacobiRotation
 Rotation given by a cosine-sine pair. More...
class  JacobiSVD
 Two-sided Jacobi SVD decomposition of a rectangular matrix. More...
class  KdBVH
class  LDLT
 Robust Cholesky decomposition of a matrix with pivoting. More...
class  LevenbergMarquardt
class  LLT
 Standard Cholesky decomposition (LL^T) of a matrix and associated features. More...
class  Map
 A matrix or vector expression mapping an existing array of data. More...
class  Map< const Quaternion< _Scalar >, _Options >
 Quaternion expression mapping a constant memory buffer. More...
class  Map< Quaternion< _Scalar >, _Options >
 Expression of a quaternion from a memory buffer. More...
class  MappedSparseMatrix
 Sparse matrix. More...
class  Matrix
 The matrix class, also used for vectors and row-vectors. More...
class  MatrixBase
 Base class for all dense matrices, vectors, and expressions. More...
class  MatrixExponential
struct  MatrixExponentialReturnValue
class  MatrixFunction
class  MatrixFunction< MatrixType, 0 >
class  MatrixFunction< MatrixType, 1 >
class  MatrixFunctionAtomic
class  MatrixFunctionReturnValue
class  MatrixWrapper
 Expression of an array as a mathematical vector or matrix. More...
struct  MatrixXpr
class  Minor
 Expression of a minor. More...
class  NestByValue
 Expression which must be nested by value. More...
class  NoAlias
 Pseudo expression providing an operator = assuming no aliasing. More...
class  NumericalDiff
class  NumTraits
 Holds information about the various numeric (i.e. scalar) types allowed by Eigen. More...
class  OuterStride
 Convenience specialization of Stride to specify only an outer stride See class Map for some examples. More...
class  ParametrizedLine
 A parametrized line. More...
class  PartialPivLU
 LU decomposition of a matrix with partial pivoting, and related features. More...
class  PartialReduxExpr
 Generic expression of a partially reduxed matrix. More...
class  PermutationBase
 Base class for permutations. More...
class  PermutationMatrix
 Permutation matrix. More...
class  PermutationWrapper
 Class to view a vector of integers as a permutation matrix. More...
class  PlainObjectBase
 Dense storage base class for matrices and arrays. More...
class  ProductReturnType
 Helper class to get the correct and optimized returned type of operator*. More...
class  Quaternion
 The quaternion class used to represent 3D orientations and rotations. More...
class  RandomSetter
class  RealSchur
 Performs a real Schur decomposition of a square matrix. More...
class  Replicate
 Expression of the multiple replication of a matrix or vector. More...
class  Reverse
 Expression of the reverse of a vector or matrix. More...
class  Rotation2D
 Represents a rotation/orientation in a 2 dimensional space. More...
class  RotationBase
 Common base class for compact rotation representations. More...
class  Select
 Expression of a coefficient wise version of the C++ ternary operator ?: More...
class  SelfAdjointEigenSolver
 Computes eigenvalues and eigenvectors of selfadjoint matrices. More...
class  SelfAdjointView
 Expression of a selfadjoint matrix from a triangular part of a dense matrix. More...
class  SimplicialCholesky
class  SkylineInplaceLU
class  SkylineMatrix
class  SkylineMatrixBase
class  SkylineStorage
struct  Sparse
class  SparseLDLT
class  SparseLLT
class  SparseLU
class  SparseMatrix
 The main sparse matrix class. More...
class  SparseMatrixBase
 Base class of any sparse matrices or sparse expressions. More...
class  SparseSelfAdjointView
 Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix. More...
class  SparseVector
 a sparse vector class More...
struct  StdMapTraits
class  StdStemFunctions
class  Stride
 Holds strides information for Map. More...
class  Transform
 Represents an homogeneous transformation in a N dimensional space. More...
class  Translation
 Represents a translation transformation. More...
class  Transpose
 Expression of the transpose of a matrix. More...
class  Transpositions
 Represents a sequence of transpositions (row/column interchange). More...
class  TriangularView
 Base class for triangular part in a matrix. More...
class  Tridiagonalization
 Tridiagonal decomposition of a selfadjoint matrix. More...
class  VectorBlock
 Expression of a fixed-size or dynamic-size sub-vector. More...
class  VectorwiseOp
 Pseudo expression providing partial reduction operations. More...
class  WithFormat
 Pseudo expression providing matrix output with given format. More...

Typedefs

typedef Transform< double,
2, Affine > 
Affine2d
typedef Transform< float,
2, Affine > 
Affine2f
typedef Transform< double,
3, Affine > 
Affine3d
typedef Transform< float,
3, Affine > 
Affine3f
typedef Transform< double,
2, AffineCompact > 
AffineCompact2d
typedef Transform< float,
2, AffineCompact > 
AffineCompact2f
typedef Transform< double,
3, AffineCompact > 
AffineCompact3d
typedef Transform< float,
3, AffineCompact > 
AffineCompact3f
typedef DiagonalMatrix< double, 2 > AlignedScaling2d
typedef DiagonalMatrix< float, 2 > AlignedScaling2f
typedef DiagonalMatrix< double, 3 > AlignedScaling3d
typedef DiagonalMatrix< float, 3 > AlignedScaling3f
typedef AngleAxis< double > AngleAxisd
typedef AngleAxis< float > AngleAxisf
typedef Transform< double,
2, Isometry > 
Isometry2d
typedef Transform< float,
2, Isometry > 
Isometry2f
typedef Transform< double,
3, Isometry > 
Isometry3d
typedef Transform< float,
3, Isometry > 
Isometry3f
typedef Matrix< std::complex
< double >, 2, 2 > 
Matrix2cd
typedef Matrix< std::complex
< float >, 2, 2 > 
Matrix2cf
typedef Matrix< double, 2, 2 > Matrix2d
typedef Matrix< float, 2, 2 > Matrix2f
typedef Matrix< int, 2, 2 > Matrix2i
typedef Matrix< std::complex
< double >, 2, Dynamic
Matrix2Xcd
typedef Matrix< std::complex
< float >, 2, Dynamic
Matrix2Xcf
typedef Matrix< double,
2, Dynamic
Matrix2Xd
typedef Matrix< float, 2, DynamicMatrix2Xf
typedef Matrix< int, 2, DynamicMatrix2Xi
typedef Matrix< std::complex
< double >, 3, 3 > 
Matrix3cd
typedef Matrix< std::complex
< float >, 3, 3 > 
Matrix3cf
typedef Matrix< double, 3, 3 > Matrix3d
typedef Matrix< float, 3, 3 > Matrix3f
typedef Matrix< int, 3, 3 > Matrix3i
typedef Matrix< std::complex
< double >, 3, Dynamic
Matrix3Xcd
typedef Matrix< std::complex
< float >, 3, Dynamic
Matrix3Xcf
typedef Matrix< double,
3, Dynamic
Matrix3Xd
typedef Matrix< float, 3, DynamicMatrix3Xf
typedef Matrix< int, 3, DynamicMatrix3Xi
typedef Matrix< std::complex
< double >, 4, 4 > 
Matrix4cd
typedef Matrix< std::complex
< float >, 4, 4 > 
Matrix4cf
typedef Matrix< double, 4, 4 > Matrix4d
typedef Matrix< float, 4, 4 > Matrix4f
typedef Matrix< int, 4, 4 > Matrix4i
typedef Matrix< std::complex
< double >, 4, Dynamic
Matrix4Xcd
typedef Matrix< std::complex
< float >, 4, Dynamic
Matrix4Xcf
typedef Matrix< double,
4, Dynamic
Matrix4Xd
typedef Matrix< float, 4, DynamicMatrix4Xf
typedef Matrix< int, 4, DynamicMatrix4Xi
typedef Matrix< std::complex
< double >, Dynamic, 2 > 
MatrixX2cd
typedef Matrix< std::complex
< float >, Dynamic, 2 > 
MatrixX2cf
typedef Matrix< double,
Dynamic, 2 > 
MatrixX2d
typedef Matrix< float, Dynamic, 2 > MatrixX2f
typedef Matrix< int, Dynamic, 2 > MatrixX2i
typedef Matrix< std::complex
< double >, Dynamic, 3 > 
MatrixX3cd
typedef Matrix< std::complex
< float >, Dynamic, 3 > 
MatrixX3cf
typedef Matrix< double,
Dynamic, 3 > 
MatrixX3d
typedef Matrix< float, Dynamic, 3 > MatrixX3f
typedef Matrix< int, Dynamic, 3 > MatrixX3i
typedef Matrix< std::complex
< double >, Dynamic, 4 > 
MatrixX4cd
typedef Matrix< std::complex
< float >, Dynamic, 4 > 
MatrixX4cf
typedef Matrix< double,
Dynamic, 4 > 
MatrixX4d
typedef Matrix< float, Dynamic, 4 > MatrixX4f
typedef Matrix< int, Dynamic, 4 > MatrixX4i
typedef Matrix< std::complex
< double >, Dynamic, Dynamic
MatrixXcd
typedef Matrix< std::complex
< float >, Dynamic, Dynamic
MatrixXcf
typedef Matrix< double,
Dynamic, Dynamic
MatrixXd
typedef Matrix< float, Dynamic,
Dynamic
MatrixXf
typedef Matrix< int, Dynamic,
Dynamic
MatrixXi
typedef Transform< double,
2, Projective > 
Projective2d
typedef Transform< float,
2, Projective > 
Projective2f
typedef Transform< double,
3, Projective > 
Projective3d
typedef Transform< float,
3, Projective > 
Projective3f
typedef Quaternion< double > Quaterniond
typedef Quaternion< float > Quaternionf
typedef Map< Quaternion
< double >, Aligned > 
QuaternionMapAlignedd
typedef Map< Quaternion< float >
, Aligned > 
QuaternionMapAlignedf
typedef Map< Quaternion
< double >, 0 > 
QuaternionMapd
typedef Map< Quaternion< float >, 0 > QuaternionMapf
typedef Rotation2D< double > Rotation2Dd
typedef Rotation2D< float > Rotation2Df
typedef Matrix< std::complex
< double >, 1, 2 > 
RowVector2cd
typedef Matrix< std::complex
< float >, 1, 2 > 
RowVector2cf
typedef Matrix< double, 1, 2 > RowVector2d
typedef Matrix< float, 1, 2 > RowVector2f
typedef Matrix< int, 1, 2 > RowVector2i
typedef Matrix< std::complex
< double >, 1, 3 > 
RowVector3cd
typedef Matrix< std::complex
< float >, 1, 3 > 
RowVector3cf
typedef Matrix< double, 1, 3 > RowVector3d
typedef Matrix< float, 1, 3 > RowVector3f
typedef Matrix< int, 1, 3 > RowVector3i
typedef Matrix< std::complex
< double >, 1, 4 > 
RowVector4cd
typedef Matrix< std::complex
< float >, 1, 4 > 
RowVector4cf
typedef Matrix< double, 1, 4 > RowVector4d
typedef Matrix< float, 1, 4 > RowVector4f
typedef Matrix< int, 1, 4 > RowVector4i
typedef Matrix< std::complex
< double >, 1, Dynamic
RowVectorXcd
typedef Matrix< std::complex
< float >, 1, Dynamic
RowVectorXcf
typedef Matrix< double,
1, Dynamic
RowVectorXd
typedef Matrix< float, 1, DynamicRowVectorXf
typedef Matrix< int, 1, DynamicRowVectorXi
typedef Matrix< std::complex
< double >, 2, 1 > 
Vector2cd
typedef Matrix< std::complex
< float >, 2, 1 > 
Vector2cf
typedef Matrix< double, 2, 1 > Vector2d
typedef Matrix< float, 2, 1 > Vector2f
typedef Matrix< int, 2, 1 > Vector2i
typedef Matrix< std::complex
< double >, 3, 1 > 
Vector3cd
typedef Matrix< std::complex
< float >, 3, 1 > 
Vector3cf
typedef Matrix< double, 3, 1 > Vector3d
typedef Matrix< float, 3, 1 > Vector3f
typedef Matrix< int, 3, 1 > Vector3i
typedef Matrix< std::complex
< double >, 4, 1 > 
Vector4cd
typedef Matrix< std::complex
< float >, 4, 1 > 
Vector4cf
typedef Matrix< double, 4, 1 > Vector4d
typedef Matrix< float, 4, 1 > Vector4f
typedef Matrix< int, 4, 1 > Vector4i
typedef Matrix< std::complex
< double >, Dynamic, 1 > 
VectorXcd
typedef Matrix< std::complex
< float >, Dynamic, 1 > 
VectorXcf
typedef Matrix< double,
Dynamic, 1 > 
VectorXd
typedef Matrix< float, Dynamic, 1 > VectorXf
typedef Matrix< int, Dynamic, 1 > VectorXi

Enumerations

enum  {
  Lower,
  Upper,
  UnitDiag,
  ZeroDiag,
  UnitLower,
  UnitUpper,
  StrictlyLower,
  StrictlyUpper,
  SelfAdjoint
}
enum  {
  Unaligned,
  Aligned
}
enum  {
  ColMajor,
  RowMajor
}
enum  {
  OnTheLeft,
  OnTheRight
}
enum  AccessorLevels {
  ReadOnlyAccessors,
  WriteAccessors,
  DirectAccessors,
  DirectWriteAccessors
}
enum  ComputationInfo {
  Success,
  NumericalIssue,
  NoConvergence
}
enum  CornerType
enum  DecompositionOptions { ,
  ComputeFullU,
  ComputeThinU,
  ComputeFullV,
  ComputeThinV,
  EigenvaluesOnly,
  ComputeEigenvectors ,
  Ax_lBx,
  ABx_lx,
  BAx_lx
}
enum  DirectionType {
  Vertical,
  Horizontal,
  BothDirections
}
enum  QRPreconditioners {
  NoQRPreconditioner,
  HouseholderQRPreconditioner,
  ColPivHouseholderQRPreconditioner,
  FullPivHouseholderQRPreconditioner
}
enum  TransformTraits {
  Isometry,
  Affine,
  AffineCompact,
  Projective
}

Functions

template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::less) Cwise< ExpressionType >
template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::less_equal) Cwise< ExpressionType >
template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::greater) Cwise< ExpressionType >
template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::greater_equal) Cwise< ExpressionType >
template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::equal_to) Cwise< ExpressionType >
template<typename ExpressionType >
const EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE (std::not_equal_to) Cwise< ExpressionType >
template<typename VectorsType , typename CoeffsType >
HouseholderSequence
< VectorsType, CoeffsType > 
householderSequence (const VectorsType &v, const CoeffsType &h)
 Convenience function for constructing a Householder sequence.
std::ptrdiff_t l1CacheSize ()
std::ptrdiff_t l2CacheSize ()
template<typename OtherDerived , typename VectorsType , typename CoeffsType , int Side>
internal::matrix_type_times_scalar_type
< typename VectorsType::Scalar,
OtherDerived >::Type 
operator* (const MatrixBase< OtherDerived > &other, const HouseholderSequence< VectorsType, CoeffsType, Side > &h)
 Computes the product of a matrix with a Householder sequence.
template<typename Derived , typename TranspositionsDerived >
const
internal::transposition_matrix_product_retval
< TranspositionsDerived,
Derived, OnTheRight > 
operator* (const MatrixBase< Derived > &matrix, const TranspositionsBase< TranspositionsDerived > &transpositions)
template<typename Derived , typename TranspositionDerived >
const
internal::transposition_matrix_product_retval
< TranspositionDerived,
Derived, OnTheLeft > 
operator* (const TranspositionsBase< TranspositionDerived > &transpositions, const MatrixBase< Derived > &matrix)
template<typename Derived , typename PermutationDerived >
const
internal::permut_matrix_product_retval
< PermutationDerived, Derived,
OnTheRight > 
operator* (const MatrixBase< Derived > &matrix, const PermutationBase< PermutationDerived > &permutation)
template<typename Derived , typename PermutationDerived >
const
internal::permut_matrix_product_retval
< PermutationDerived, Derived,
OnTheLeft > 
operator* (const PermutationBase< PermutationDerived > &permutation, const MatrixBase< Derived > &matrix)
template<typename VectorsType , typename CoeffsType >
HouseholderSequence
< VectorsType, CoeffsType,
OnTheRight > 
rightHouseholderSequence (const VectorsType &v, const CoeffsType &h)
 Convenience function for constructing a Householder sequence.
void setCpuCacheSizes (std::ptrdiff_t l1, std::ptrdiff_t l2)
template<typename Derived , typename OtherDerived >
internal::umeyama_transform_matrix_type
< Derived, OtherDerived >
::type 
umeyama (const MatrixBase< Derived > &src, const MatrixBase< OtherDerived > &dst, bool with_scaling=true)
 Returns the transformation between two point sets.

Variables

const unsigned int ActualPacketAccessBit
const unsigned int AlignedBit
const unsigned int DirectAccessBit
const int Dynamic
const unsigned int EvalBeforeAssigningBit
const unsigned int EvalBeforeNestingBit
const int Infinity
const unsigned int LinearAccessBit
const unsigned int LvalueBit
const unsigned int PacketAccessBit
const unsigned int RowMajorBit

Detailed Description

Namespace containing all symbols from the Eigen library.


Enumeration Type Documentation

enums Enum for reporting the status of a computation.

Enumerator:
Success 

Computation was successful.

NumericalIssue 

The provided data did not satisfy the prerequisites.

NoConvergence 

Iterative procedure did not converge.


Function Documentation

const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::less   )  [inline]
const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::less_equal   )  [inline]
const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::greater   )  [inline]
const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::greater_equal   )  [inline]
const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::equal_to   )  [inline]
const Eigen::EIGEN_CWISE_COMP_TO_SCALAR_RETURN_TYPE ( std::not_equal_to   )  [inline]
std::ptrdiff_t Eigen::l1CacheSize (  )  [inline]
Returns:
the currently set level 1 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.
See also:
setCpuCacheSize
std::ptrdiff_t Eigen::l2CacheSize (  )  [inline]
Returns:
the currently set level 2 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.
See also:
setCpuCacheSize
internal::matrix_type_times_scalar_type<typename VectorsType::Scalar,OtherDerived>::Type Eigen::operator* ( const MatrixBase< OtherDerived > &  other,
const HouseholderSequence< VectorsType, CoeffsType, Side > &  h 
)

Computes the product of a matrix with a Householder sequence.

Parameters:
[in] other Matrix being multiplied.
[in] h HouseholderSequence being multiplied.
Returns:
Expression object representing the product.

This function computes $ MH $ where $ M $ is the matrix other and $ H $ is the Householder sequence represented by h.

const internal::transposition_matrix_product_retval<TranspositionsDerived, Derived, OnTheRight> Eigen::operator* ( const MatrixBase< Derived > &  matrix,
const TranspositionsBase< TranspositionsDerived > &  transpositions 
) [inline]
Returns:
the matrix with the transpositions applied to the columns.
const internal::transposition_matrix_product_retval<TranspositionDerived, Derived, OnTheLeft> Eigen::operator* ( const TranspositionsBase< TranspositionDerived > &  transpositions,
const MatrixBase< Derived > &  matrix 
) [inline]
Returns:
the matrix with the transpositions applied to the rows.
const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheRight> Eigen::operator* ( const MatrixBase< Derived > &  matrix,
const PermutationBase< PermutationDerived > &  permutation 
) [inline]
Returns:
the matrix with the permutation applied to the columns.
const internal::permut_matrix_product_retval<PermutationDerived, Derived, OnTheLeft> Eigen::operator* ( const PermutationBase< PermutationDerived > &  permutation,
const MatrixBase< Derived > &  matrix 
) [inline]
Returns:
the matrix with the permutation applied to the rows.
void Eigen::setCpuCacheSizes ( std::ptrdiff_t  l1,
std::ptrdiff_t  l2 
) [inline]

Set the cpu L1 and L2 cache sizes (in bytes). These values are use to adjust the size of the blocks for the algorithms working per blocks.

See also:
computeProductBlockingSizes

Variable Documentation

const int Dynamic

This value means that a quantity is not known at compile-time, and that instead the value is stored in some runtime variable.

Changing the value of Dynamic breaks the ABI, as Dynamic is often used as a template parameter for Matrix.

const int Infinity

This value means +Infinity; it is currently used only as the p parameter to MatrixBase::lpNorm<int>(). The value Infinity there means the L-infinity norm.