GraphXlaSelfAdjointEig Method |
https://www.emgu.com/wiki/index.php/Emgu_TF
Computes the eigen decomposition of a batch of self-adjoint matrices
Namespace:
Emgu.TF
Assembly:
Emgu.TF.Netstandard (in Emgu.TF.Netstandard.dll) Version: 2.6.0.1294
Syntaxpublic Operation XlaSelfAdjointEig(
Output a,
bool lower,
long max_iter,
float epsilon,
string opName = "XlaSelfAdjointEig"
)
Public Function XlaSelfAdjointEig (
a As Output,
lower As Boolean,
max_iter As Long,
epsilon As Single,
Optional opName As String = "XlaSelfAdjointEig"
) As Operation
public:
Operation^ XlaSelfAdjointEig(
Output^ a,
bool lower,
long long max_iter,
float epsilon,
String^ opName = L"XlaSelfAdjointEig"
)
member XlaSelfAdjointEig :
a : Output *
lower : bool *
max_iter : int64 *
epsilon : float32 *
?opName : string
(* Defaults:
let _opName = defaultArg opName "XlaSelfAdjointEig"
*)
-> Operation
Parameters
- a
- Type: Emgu.TFOutput
Input to the operation: the input tensor. - lower
- Type: SystemBoolean
a boolean specifies whether the calculation is done with the lower triangular part or the upper triangular part. - max_iter
- Type: SystemInt64
maximum number of sweep update, i.e., the whole lower triangular part or upper triangular part based on parameter lower. Heuristically, it has been argued that approximately logN sweeps are needed in practice (Ref: Golub & van Loan "Matrix Computation"). - epsilon
- Type: SystemSingle
the tolerance ratio. - opName (Optional)
- Type: SystemString
The name of the operation
Return Value
Type:
Operation
The operation, where:
[0] w(type: DtInvalid): The eigenvalues in ascending order, each repeated according to its multiplicity.
[1] v(type: DtInvalid): The column v[..., :, i] is the normalized eigenvector corresponding to the eigenvalue w[..., i].
See Also