Generalized Nonsymmetric Eigenvalue Problems:
LAPACK Computational Routines
Reduces a pair of matrices to generalized upper Hessenberg form using orthogonal/unitary transformations.
Balances a pair of general real or complex matrices.
Forms the right or left eigenvectors of a generalized eigenvalue problem.
Reduces a pair of matrices to generalized upper Hessenberg form.
Implements the QZ method for finding the generalized eigenvalues of the matrix pair (H,T).
Computes some or all of the right and/or left generalized eigenvectors of a pair of upper triangular matrices
Reorders the generalized Schur decomposition of a pair of matrices (A,B) so that one diagonal block of (A,B) moves to another row index.
Solves the generalized Sylvester equation.
Estimates reciprocal condition numbers for specified eigenvalues and/or eigenvectors of a pair of matrices in generalized real Schur canonical form.