Nonsymmetric Eigenvalue Problems: LAPACK Driver Routines

This topic describes LAPACK driver routines used for solving nonsymmetric eigenproblems. See also computational routines that can be called to solve these problems.

Table "Driver Routines for Solving Nonsymmetric Eigenproblems" lists all such driver routines.

Driver Routines for Solving Nonsymmetric Eigenproblems
Routine Name	Operation performed
gees	Computes the eigenvalues and Schur factorization of a general matrix, and orders the factorization so that selected eigenvalues are at the top left of the Schur form.
geesx	Computes the eigenvalues and Schur factorization of a general matrix, orders the factorization and computes reciprocal condition numbers.
geev	Computes the eigenvalues and left and right eigenvectors of a general matrix.
geevx	Computes the eigenvalues and left and right eigenvectors of a general matrix, with preliminary matrix balancing, and computes reciprocal condition numbers for the eigenvalues and right eigenvectors.