Enumerations
Enumerations

Enumerations

enum  {
  Lower = 0x1, Upper = 0x2, UnitDiag = 0x4, ZeroDiag = 0x8,
  UnitLower = UnitDiag|Lower, UnitUpper = UnitDiag|Upper, StrictlyLower = ZeroDiag|Lower, StrictlyUpper = ZeroDiag|Upper,
  SelfAdjoint = 0x10
}
enum  { Unaligned = 0, Aligned = 1 }
enum  { ColMajor = 0, RowMajor = 0x1, AutoAlign = 0, DontAlign = 0x2 }
enum  { OnTheLeft = 1, OnTheRight = 2 }
enum  AccessorLevels { ReadOnlyAccessors, WriteAccessors, DirectAccessors, DirectWriteAccessors }
enum  CornerType { TopLeft, TopRight, BottomLeft, BottomRight }
enum  DecompositionOptions {
  Pivoting = 0x01, NoPivoting = 0x02, ComputeFullU = 0x04, ComputeThinU = 0x08,
  ComputeFullV = 0x10, ComputeThinV = 0x20, EigenvaluesOnly = 0x40, ComputeEigenvectors = 0x80,
  EigVecMask = EigenvaluesOnly | ComputeEigenvectors, Ax_lBx = 0x100, ABx_lx = 0x200, BAx_lx = 0x400,
  GenEigMask = Ax_lBx | ABx_lx | BAx_lx
}
enum  DirectionType { Vertical, Horizontal, BothDirections }
enum  QRPreconditioners { NoQRPreconditioner, HouseholderQRPreconditioner, ColPivHouseholderQRPreconditioner, FullPivHouseholderQRPreconditioner }
enum  TransformTraits { Isometry = 0x1, Affine = 0x2, AffineCompact = 0x10 | Affine, Projective = 0x20 }

Detailed Description

Various enumerations used in Eigen. Many of these are used as template parameters.


Enumeration Type Documentation

anonymous enum

Enum containing possible values for the Mode parameter of MatrixBase::selfadjointView() and MatrixBase::triangularView().

Enumerator:
Lower 

View matrix as a lower triangular matrix.

Upper 

View matrix as an upper triangular matrix.

UnitDiag 

Matrix has ones on the diagonal; to be used in combination with Lower or Upper.

ZeroDiag 

Matrix has zeros on the diagonal; to be used in combination with Lower or Upper.

UnitLower 

View matrix as a lower triangular matrix with ones on the diagonal.

UnitUpper 

View matrix as an upper triangular matrix with ones on the diagonal.

StrictlyLower 

View matrix as a lower triangular matrix with zeros on the diagonal.

StrictlyUpper 

View matrix as an upper triangular matrix with zeros on the diagonal.

SelfAdjoint 

Used in BandMatrix and SelfAdjointView to indicate that the matrix is self-adjoint.

Definition at line 173 of file Constants.h.

anonymous enum

Enum for indicating whether an object is aligned or not.

Enumerator:
Unaligned 

Object is not correctly aligned for vectorization.

Aligned 

Object is aligned for vectorization.

Definition at line 196 of file Constants.h.

anonymous enum

Enum containing possible values for the _Options template parameter of Matrix, Array and BandMatrix.

Enumerator:
ColMajor 

Storage order is column major (see Storage orders).

RowMajor 

Storage order is row major (see Storage orders).

AutoAlign 
DontAlign 

Definition at line 263 of file Constants.h.

anonymous enum

Enum for specifying whether to apply or solve on the left or right.

Enumerator:
OnTheLeft 

Apply transformation on the left.

OnTheRight 

Apply transformation on the right.

Definition at line 276 of file Constants.h.

Used as template parameter in DenseCoeffBase and MapBase to indicate which accessors should be provided.

Enumerator:
ReadOnlyAccessors 

Read-only access via a member function.

WriteAccessors 

Read/write access via member functions.

DirectAccessors 

Direct read-only access to the coefficients.

DirectWriteAccessors 

Direct read/write access to the coefficients.

Definition at line 314 of file Constants.h.

enum CornerType

Enum used by DenseBase::corner() in Eigen2 compatibility mode.

Enumerator:
TopLeft 
TopRight 
BottomLeft 
BottomRight 

Definition at line 209 of file Constants.h.

Enum with options to give to various decompositions.

Enumerator:
Pivoting 
NoPivoting 
ComputeFullU 

Used in JacobiSVD to indicate that the square matrix U is to be computed.

ComputeThinU 

Used in JacobiSVD to indicate that the thin matrix U is to be computed.

ComputeFullV 

Used in JacobiSVD to indicate that the square matrix V is to be computed.

ComputeThinV 

Used in JacobiSVD to indicate that the thin matrix V is to be computed.

EigenvaluesOnly 

Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify that only the eigenvalues are to be computed and not the eigenvectors.

ComputeEigenvectors 

Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify that both the eigenvalues and the eigenvectors are to be computed.

EigVecMask 
Ax_lBx 

Used in GeneralizedSelfAdjointEigenSolver to indicate that it should solve the generalized eigenproblem $ Ax = \lambda B x $.

ABx_lx 

Used in GeneralizedSelfAdjointEigenSolver to indicate that it should solve the generalized eigenproblem $ ABx = \lambda x $.

BAx_lx 

Used in GeneralizedSelfAdjointEigenSolver to indicate that it should solve the generalized eigenproblem $ BAx = \lambda x $.

GenEigMask 

Definition at line 327 of file Constants.h.

Enum containing possible values for the Direction parameter of Reverse, PartialReduxExpr and VectorwiseOp.

Enumerator:
Vertical 

For Reverse, all columns are reversed; for PartialReduxExpr and VectorwiseOp, act on columns.

Horizontal 

For Reverse, all rows are reversed; for PartialReduxExpr and VectorwiseOp, act on rows.

BothDirections 

For Reverse, both rows and columns are reversed; not used for PartialReduxExpr and VectorwiseOp.

Definition at line 214 of file Constants.h.

Possible values for the QRPreconditioner template parameter of JacobiSVD.

Enumerator:
NoQRPreconditioner 

Do not specify what is to be done if the SVD of a non-square matrix is asked for.

HouseholderQRPreconditioner 

Use a QR decomposition without pivoting as the first step.

ColPivHouseholderQRPreconditioner 

Use a QR decomposition with column pivoting as the first step.

FullPivHouseholderQRPreconditioner 

Use a QR decomposition with full pivoting as the first step.

Definition at line 363 of file Constants.h.

Enum used to specify how a particular transformation is stored in a matrix.

See also:
Transform, Hyperplane::transform().
Enumerator:
Isometry 

Transformation is an isometry.

Affine 

Transformation is an affine transformation stored as a (Dim+1)^2 matrix whose last row is assumed to be [0 ... 0 1].

AffineCompact 

Transformation is an affine transformation stored as a (Dim) x (Dim+1) matrix.

Projective 

Transformation is a general projective transformation stored as a (Dim+1)^2 matrix.

Definition at line 392 of file Constants.h.



libicr
Author(s): Robert Krug
autogenerated on Mon Jan 6 2014 11:34:09