Performs a complex Schur decomposition of a real or complex square matrix
_MatrixType | the type of the matrix of which we are computing the Schur decomposition; this is expected to be an instantiation of the Matrix class template. |
Given a real or complex square matrix A, this class computes the Schur decomposition: where U is a unitary complex matrix, and T is a complex upper triangular matrix. The diagonal of the matrix T corresponds to the eigenvalues of the matrix A.
Call the function compute() to compute the Schur decomposition of a given matrix. Alternatively, you can use the ComplexSchur(const MatrixType&, bool) constructor which computes the Schur decomposition at construction time. Once the decomposition is computed, you can use the matrixU() and matrixT() functions to retrieve the matrices U and V in the decomposition.
Definition at line 65 of file Eigenvalues.
Public Types | |
enum | { RowsAtCompileTime = MatrixType::RowsAtCompileTime, ColsAtCompileTime = MatrixType::ColsAtCompileTime, Options = MatrixType::Options, MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime } |
enum | { RowsAtCompileTime = MatrixType::RowsAtCompileTime, ColsAtCompileTime = MatrixType::ColsAtCompileTime, Options = MatrixType::Options, MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime } |
typedef _MatrixType | MatrixType |
typedef MatrixType::Scalar | Scalar |
Scalar type for matrices of type _MatrixType . | |
typedef NumTraits< Scalar >::Real | RealScalar |
typedef MatrixType::Index | Index |
typedef std::complex< RealScalar > | ComplexScalar |
Complex scalar type for _MatrixType . | |
typedef Matrix< ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime > | ComplexMatrixType |
Type for the matrices in the Schur decomposition. | |
typedef _MatrixType | MatrixType |
typedef MatrixType::Scalar | Scalar |
Scalar type for matrices of type _MatrixType . | |
typedef NumTraits< Scalar >::Real | RealScalar |
typedef MatrixType::Index | Index |
typedef std::complex< RealScalar > | ComplexScalar |
Complex scalar type for _MatrixType . | |
typedef Matrix< ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime > | ComplexMatrixType |
Type for the matrices in the Schur decomposition. | |
Public Member Functions | |
ComplexSchur (Index size=RowsAtCompileTime==Dynamic?1:RowsAtCompileTime) | |
Default constructor. | |
ComplexSchur (const MatrixType &matrix, bool computeU=true) | |
Constructor; computes Schur decomposition of given matrix. | |
const ComplexMatrixType & | matrixU () const |
Returns the unitary matrix in the Schur decomposition. | |
const ComplexMatrixType & | matrixT () const |
Returns the triangular matrix in the Schur decomposition. | |
ComplexSchur & | compute (const MatrixType &matrix, bool computeU=true) |
Computes Schur decomposition of given matrix. | |
ComputationInfo | info () const |
Reports whether previous computation was successful. | |
ComplexSchur (Index size=RowsAtCompileTime==Dynamic?1:RowsAtCompileTime) | |
Default constructor. | |
ComplexSchur (const MatrixType &matrix, bool computeU=true) | |
Constructor; computes Schur decomposition of given matrix. | |
const ComplexMatrixType & | matrixU () const |
Returns the unitary matrix in the Schur decomposition. | |
const ComplexMatrixType & | matrixT () const |
Returns the triangular matrix in the Schur decomposition. | |
ComplexSchur & | compute (const MatrixType &matrix, bool computeU=true) |
Computes Schur decomposition of given matrix. | |
ComputationInfo | info () const |
Reports whether previous computation was successful. | |
Static Public Attributes | |
static const int | m_maxIterations = 30 |
Maximum number of iterations. | |
Protected Attributes | |
ComplexMatrixType | m_matT |
ComplexMatrixType | m_matU |
HessenbergDecomposition < MatrixType > | m_hess |
ComputationInfo | m_info |
bool | m_isInitialized |
bool | m_matUisUptodate |
Private Member Functions | |
bool | subdiagonalEntryIsNeglegible (Index i) |
If m_matT(i+1,i) is neglegible in floating point arithmetic compared to m_matT(i,i) and m_matT(j,j), then set it to zero and return true, else return false. | |
ComplexScalar | computeShift (Index iu, Index iter) |
Compute the shift in the current QR iteration. | |
void | reduceToTriangularForm (bool computeU) |
bool | subdiagonalEntryIsNeglegible (Index i) |
ComplexScalar | computeShift (Index iu, Index iter) |
void | reduceToTriangularForm (bool computeU) |
Friends | |
struct | internal::complex_schur_reduce_to_hessenberg< MatrixType, NumTraits< Scalar >::IsComplex > |
typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> Eigen::ComplexSchur< _MatrixType >::ComplexMatrixType |
Type for the matrices in the Schur decomposition.
This is a square matrix with entries of type ComplexScalar. The size is the same as the size of _MatrixType
.
Definition at line 95 of file Eigenvalues.
typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> Eigen::ComplexSchur< _MatrixType >::ComplexMatrixType |
Type for the matrices in the Schur decomposition.
This is a square matrix with entries of type ComplexScalar. The size is the same as the size of _MatrixType
.
Definition at line 95 of file Eigenvalues.
typedef std::complex<RealScalar> Eigen::ComplexSchur< _MatrixType >::ComplexScalar |
Complex scalar type for _MatrixType
.
This is std::complex<Scalar>
if Scalar is real (e.g., float
or double
) and just Scalar
if Scalar is complex.
Definition at line 88 of file Eigenvalues.
typedef std::complex<RealScalar> Eigen::ComplexSchur< _MatrixType >::ComplexScalar |
Complex scalar type for _MatrixType
.
This is std::complex<Scalar>
if Scalar is real (e.g., float
or double
) and just Scalar
if Scalar is complex.
Definition at line 88 of file Eigenvalues.
typedef MatrixType::Index Eigen::ComplexSchur< _MatrixType >::Index |
Definition at line 80 of file Eigenvalues.
typedef MatrixType::Index Eigen::ComplexSchur< _MatrixType >::Index |
Definition at line 80 of file Eigenvalues.
typedef _MatrixType Eigen::ComplexSchur< _MatrixType >::MatrixType |
Definition at line 68 of file Eigenvalues.
typedef _MatrixType Eigen::ComplexSchur< _MatrixType >::MatrixType |
Definition at line 68 of file Eigenvalues.
typedef NumTraits<Scalar>::Real Eigen::ComplexSchur< _MatrixType >::RealScalar |
Definition at line 79 of file Eigenvalues.
typedef NumTraits<Scalar>::Real Eigen::ComplexSchur< _MatrixType >::RealScalar |
Definition at line 79 of file Eigenvalues.
typedef MatrixType::Scalar Eigen::ComplexSchur< _MatrixType >::Scalar |
Scalar type for matrices of type _MatrixType
.
Definition at line 78 of file Eigenvalues.
typedef MatrixType::Scalar Eigen::ComplexSchur< _MatrixType >::Scalar |
Scalar type for matrices of type _MatrixType
.
Definition at line 78 of file Eigenvalues.
anonymous enum |
Definition at line 69 of file Eigenvalues.
anonymous enum |
Definition at line 69 of file Eigenvalues.
Eigen::ComplexSchur< _MatrixType >::ComplexSchur | ( | Index | size = RowsAtCompileTime==Dynamic ? 1 : RowsAtCompileTime | ) | [inline] |
Default constructor.
[in] | size | Positive integer, size of the matrix whose Schur decomposition will be computed. |
The default constructor is useful in cases in which the user intends to perform decompositions via compute(). The size
parameter is only used as a hint. It is not an error to give a wrong size
, but it may impair performance.
Definition at line 108 of file Eigenvalues.
Eigen::ComplexSchur< _MatrixType >::ComplexSchur | ( | const MatrixType & | matrix, |
bool | computeU = true |
||
) | [inline] |
Constructor; computes Schur decomposition of given matrix.
[in] | matrix | Square matrix whose Schur decomposition is to be computed. |
[in] | computeU | If true, both T and U are computed; if false, only T is computed. |
This constructor calls compute() to compute the Schur decomposition.
Definition at line 125 of file Eigenvalues.
Eigen::ComplexSchur< _MatrixType >::ComplexSchur | ( | Index | size = RowsAtCompileTime==Dynamic ? 1 : RowsAtCompileTime | ) | [inline] |
Default constructor.
[in] | size | Positive integer, size of the matrix whose Schur decomposition will be computed. |
The default constructor is useful in cases in which the user intends to perform decompositions via compute(). The size
parameter is only used as a hint. It is not an error to give a wrong size
, but it may impair performance.
Definition at line 108 of file Eigenvalues.
Eigen::ComplexSchur< _MatrixType >::ComplexSchur | ( | const MatrixType & | matrix, |
bool | computeU = true |
||
) | [inline] |
Constructor; computes Schur decomposition of given matrix.
[in] | matrix | Square matrix whose Schur decomposition is to be computed. |
[in] | computeU | If true, both T and U are computed; if false, only T is computed. |
This constructor calls compute() to compute the Schur decomposition.
Definition at line 125 of file Eigenvalues.
ComplexSchur< MatrixType > & ComplexSchur< MatrixType >::compute | ( | const MatrixType & | matrix, |
bool | computeU = true |
||
) |
Computes Schur decomposition of given matrix.
[in] | matrix | Square matrix whose Schur decomposition is to be computed. |
[in] | computeU | If true, both T and U are computed; if false, only T is computed. |
*this
The Schur decomposition is computed by first reducing the matrix to Hessenberg form using the class HessenbergDecomposition. The Hessenberg matrix is then reduced to triangular form by performing QR iterations with a single shift. The cost of computing the Schur decomposition depends on the number of iterations; as a rough guide, it may be taken on the number of iterations; as a rough guide, it may be taken to be complex flops, or
complex flops if computeU is false.
Example:
Output:
Definition at line 325 of file Eigenvalues.
ComplexSchur& Eigen::ComplexSchur< _MatrixType >::compute | ( | const MatrixType & | matrix, |
bool | computeU = true |
||
) |
Computes Schur decomposition of given matrix.
[in] | matrix | Square matrix whose Schur decomposition is to be computed. |
[in] | computeU | If true, both T and U are computed; if false, only T is computed. |
*this
The Schur decomposition is computed by first reducing the matrix to Hessenberg form using the class HessenbergDecomposition. The Hessenberg matrix is then reduced to triangular form by performing QR iterations with a single shift. The cost of computing the Schur decomposition depends on the number of iterations; as a rough guide, it may be taken on the number of iterations; as a rough guide, it may be taken to be complex flops, or
complex flops if computeU is false.
Example:
Output:
ComplexSchur< MatrixType >::ComplexScalar ComplexSchur< MatrixType >::computeShift | ( | Index | iu, |
Index | iter | ||
) | [private] |
Compute the shift in the current QR iteration.
Definition at line 289 of file Eigenvalues.
ComplexScalar Eigen::ComplexSchur< _MatrixType >::computeShift | ( | Index | iu, |
Index | iter | ||
) | [private] |
ComputationInfo Eigen::ComplexSchur< _MatrixType >::info | ( | ) | const [inline] |
Reports whether previous computation was successful.
Success
if computation was succesful, NoConvergence
otherwise. Definition at line 204 of file Eigenvalues.
ComputationInfo Eigen::ComplexSchur< _MatrixType >::info | ( | ) | const [inline] |
Reports whether previous computation was successful.
Success
if computation was succesful, NoConvergence
otherwise. Definition at line 204 of file Eigenvalues.
const ComplexMatrixType& Eigen::ComplexSchur< _MatrixType >::matrixT | ( | ) | const [inline] |
Returns the triangular matrix in the Schur decomposition.
It is assumed that either the constructor ComplexSchur(const MatrixType& matrix, bool computeU) or the member function compute(const MatrixType& matrix, bool computeU) has been called before to compute the Schur decomposition of a matrix.
Note that this function returns a plain square matrix. If you want to reference only the upper triangular part, use:
schur.matrixT().triangularView<Upper>()
Example:
Output:
Definition at line 173 of file Eigenvalues.
const ComplexMatrixType& Eigen::ComplexSchur< _MatrixType >::matrixT | ( | ) | const [inline] |
Returns the triangular matrix in the Schur decomposition.
It is assumed that either the constructor ComplexSchur(const MatrixType& matrix, bool computeU) or the member function compute(const MatrixType& matrix, bool computeU) has been called before to compute the Schur decomposition of a matrix.
Note that this function returns a plain square matrix. If you want to reference only the upper triangular part, use:
schur.matrixT().triangularView<Upper>()
Example:
Output:
Definition at line 173 of file Eigenvalues.
const ComplexMatrixType& Eigen::ComplexSchur< _MatrixType >::matrixU | ( | ) | const [inline] |
Returns the unitary matrix in the Schur decomposition.
It is assumed that either the constructor ComplexSchur(const MatrixType& matrix, bool computeU) or the member function compute(const MatrixType& matrix, bool computeU) has been called before to compute the Schur decomposition of a matrix, and that computeU
was set to true (the default value).
Example:
Output:
Definition at line 149 of file Eigenvalues.
const ComplexMatrixType& Eigen::ComplexSchur< _MatrixType >::matrixU | ( | ) | const [inline] |
Returns the unitary matrix in the Schur decomposition.
It is assumed that either the constructor ComplexSchur(const MatrixType& matrix, bool computeU) or the member function compute(const MatrixType& matrix, bool computeU) has been called before to compute the Schur decomposition of a matrix, and that computeU
was set to true (the default value).
Example:
Output:
Definition at line 149 of file Eigenvalues.
void Eigen::ComplexSchur< _MatrixType >::reduceToTriangularForm | ( | bool | computeU | ) | [private] |
void ComplexSchur< MatrixType >::reduceToTriangularForm | ( | bool | computeU | ) | [private] |
Definition at line 384 of file Eigenvalues.
bool ComplexSchur< MatrixType >::subdiagonalEntryIsNeglegible | ( | Index | i | ) | [inline, private] |
If m_matT(i+1,i) is neglegible in floating point arithmetic compared to m_matT(i,i) and m_matT(j,j), then set it to zero and return true, else return false.
Definition at line 274 of file Eigenvalues.
bool Eigen::ComplexSchur< _MatrixType >::subdiagonalEntryIsNeglegible | ( | Index | i | ) | [private] |
friend struct internal::complex_schur_reduce_to_hessenberg< MatrixType, NumTraits< Scalar >::IsComplex > [friend] |
Definition at line 227 of file Eigenvalues.
HessenbergDecomposition< MatrixType > ComplexSchur< _MatrixType >::m_hess [protected] |
Definition at line 218 of file Eigenvalues.
ComputationInfo ComplexSchur< _MatrixType >::m_info [protected] |
Definition at line 219 of file Eigenvalues.
bool ComplexSchur< _MatrixType >::m_isInitialized [protected] |
Definition at line 220 of file Eigenvalues.
ComplexMatrixType ComplexSchur< _MatrixType >::m_matT [protected] |
Definition at line 217 of file Eigenvalues.
ComplexMatrixType ComplexSchur< _MatrixType >::m_matU [protected] |
Definition at line 217 of file Eigenvalues.
bool ComplexSchur< _MatrixType >::m_matUisUptodate [protected] |
Definition at line 221 of file Eigenvalues.
static const int ComplexSchur< _MatrixType >::m_maxIterations = 30 [static] |
Maximum number of iterations.
Maximum number of iterations allowed for an eigenvalue to converge.
Definition at line 214 of file Eigenvalues.
Page generated by Doxygen 1.7.3 for MRPT 0.9.4 SVN: at Sat Mar 26 06:16:28 UTC 2011 |