Enumerations
Enumerations

Enumerations

enum  Spectra::COMPUTATION_INFO { Spectra::SUCCESSFUL = 0, Spectra::NOT_COMPUTED, Spectra::NOT_CONVERGING, Spectra::NUMERICAL_ISSUE }
 
enum  Spectra::GEIGS_MODE {
  Spectra::GEIGS_CHOLESKY = 0, Spectra::GEIGS_REGULAR_INVERSE, Spectra::GEIGS_SHIFT_INVERT, Spectra::GEIGS_BUCKLING,
  Spectra::GEIGS_CAYLEY
}
 
enum  Spectra::SELECT_EIGENVALUE {
  Spectra::LARGEST_MAGN = 0, Spectra::LARGEST_REAL, Spectra::LARGEST_IMAG, Spectra::LARGEST_ALGE,
  Spectra::SMALLEST_MAGN, Spectra::SMALLEST_REAL, Spectra::SMALLEST_IMAG, Spectra::SMALLEST_ALGE,
  Spectra::BOTH_ENDS
}
 
enum  Spectra::SELECT_EIGENVALUE_ALIAS {
  Spectra::WHICH_LM = 0, Spectra::WHICH_LR, Spectra::WHICH_LI, Spectra::WHICH_LA,
  Spectra::WHICH_SM, Spectra::WHICH_SR, Spectra::WHICH_SI, Spectra::WHICH_SA,
  Spectra::WHICH_BE
}
 

Detailed Description

Enumeration types for the selection rule of eigenvalues.

Enumeration Type Documentation

◆ COMPUTATION_INFO

The enumeration to report the status of computation.

Enumerator
SUCCESSFUL 

Computation was successful.

NOT_COMPUTED 

Used in eigen solvers, indicating that computation has not been conducted. Users should call the compute() member function of solvers.

NOT_CONVERGING 

Used in eigen solvers, indicating that some eigenvalues did not converge. The compute() function returns the number of converged eigenvalues.

NUMERICAL_ISSUE 

Used in Cholesky decomposition, indicating that the matrix is not positive definite.

Definition at line 17 of file CompInfo.h.

◆ GEIGS_MODE

The enumeration to specify the mode of generalized eigenvalue solver.

Enumerator
GEIGS_CHOLESKY 

Using Cholesky decomposition to solve generalized eigenvalues.

GEIGS_REGULAR_INVERSE 

Regular inverse mode for generalized eigenvalue solver.

GEIGS_SHIFT_INVERT 

Shift-and-invert mode for generalized eigenvalue solver.

GEIGS_BUCKLING 

Buckling mode for generalized eigenvalue solver.

GEIGS_CAYLEY 

Cayley transformation mode for generalized eigenvalue solver.

Definition at line 17 of file GEigsMode.h.

◆ SELECT_EIGENVALUE

The enumeration of selection rules of desired eigenvalues.

Enumerator
LARGEST_MAGN 

Select eigenvalues with largest magnitude. Magnitude means the absolute value for real numbers and norm for complex numbers. Applies to both symmetric and general eigen solvers.

LARGEST_REAL 

Select eigenvalues with largest real part. Only for general eigen solvers.

LARGEST_IMAG 

Select eigenvalues with largest imaginary part (in magnitude). Only for general eigen solvers.

LARGEST_ALGE 

Select eigenvalues with largest algebraic value, considering any negative sign. Only for symmetric eigen solvers.

SMALLEST_MAGN 

Select eigenvalues with smallest magnitude. Applies to both symmetric and general eigen solvers.

SMALLEST_REAL 

Select eigenvalues with smallest real part. Only for general eigen solvers.

SMALLEST_IMAG 

Select eigenvalues with smallest imaginary part (in magnitude). Only for general eigen solvers.

SMALLEST_ALGE 

Select eigenvalues with smallest algebraic value. Only for symmetric eigen solvers.

BOTH_ENDS 

Select eigenvalues half from each end of the spectrum. When nev is odd, compute more from the high end. Only for symmetric eigen solvers.

Definition at line 30 of file SelectionRule.h.

◆ SELECT_EIGENVALUE_ALIAS

The enumeration of selection rules of desired eigenvalues. Alias for SELECT_EIGENVALUE.

Enumerator
WHICH_LM 

Alias for LARGEST_MAGN

WHICH_LR 

Alias for LARGEST_REAL

WHICH_LI 

Alias for LARGEST_IMAG

WHICH_LA 

Alias for LARGEST_ALGE

WHICH_SM 

Alias for SMALLEST_MAGN

WHICH_SR 

Alias for SMALLEST_REAL

WHICH_SI 

Alias for SMALLEST_IMAG

WHICH_SA 

Alias for SMALLEST_ALGE

WHICH_BE 

Alias for BOTH_ENDS

Definition at line 62 of file SelectionRule.h.



gtsam
Author(s):
autogenerated on Tue Jul 4 2023 02:40:58