Eigensystem Analysis
Routines
Eigenvalue Decomposition
Computes the eigenvalues of a self-adjoint matrix
LIN_EIG_SELF Computes the eigenvalues of an n × n matrix
LIN_EIG_GEN Computes the generalized eigenvalues of an n × n matrix
pencil,
Av =
λBv LIN_GEIG_GENEigenvalues and (Optionally) Eigenvectors of Ax = λx
Real General Problem Ax = λx
All eigenvalues and eigenvectors
EVCRGComplex General Problem Ax = λx
All eigenvalues and eigenvectors
EVCCGReal Symmetric Problem Ax = λx
All eigenvalues and eigenvectors
EVCSFExtreme eigenvalues
EVASFExtreme eigenvalues and their eigenvectors
EVESFEigenvalues in an interval
EVBSFEigenvalues in an interval and their eigenvectors
EVFSFReal Band Symmetric Matrices in Band Storage Mode
All eigenvalues and eigenvectors
EVCSBExtreme eigenvalues
EVASBExtreme eigenvalues and their eigenvectors
EVESBEigenvalues in an interval
EVBSBEigenvalues in an interval and their eigenvectors
EVFSBComplex Hermitian Matrices
All eigenvalues and eigenvectors
EVCHFExtreme eigenvalues
EVAHFExtreme eigenvalues and their eigenvectors
EVEHFEigenvalues in an interval
EVBHFEigenvalues in an interval and their eigenvectors
EVFHFReal Upper Hessenberg Matrices
All eigenvalues and eigenvectors
EVCRHComplex Upper Hessenberg Matrices
All eigenvalues and eigenvectors
EVCCHEigenvalues and (Optionally) Eigenvectors of Ax = λBx
Real General Problem Ax = λBx
All eigenvalues and eigenvectors
GVCRGComplex General Problem Ax = λBx
All eigenvalues and eigenvectors
GVCCGReal Symmetric Problem Ax = λBx
All eigenvalues and eigenvectors
GVCSPEigenvalues and Eigenvectors Computed with ARPACK
Fortran 2003 Usage
Real singular value decomposition
AV = US ARPACK_SVD