Developer Reference

  • 2021.1
  • 12/04/2020
  • Public Content
Contents

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.
Driver Routines for Solving Nonsymmetric Eigenproblems
Routine Name
Operation performed
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.
Computes the eigenvalues and Schur factorization of a general matrix, orders the factorization and computes reciprocal condition numbers.
Computes the eigenvalues and left and right eigenvectors of a general matrix.
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.

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