Module 800 in TOMS

General Information

Computes eigenvalues of Hamiltonian matrices using the square-reduced method. This method transforms a Hamiltonian eigenvalue problem of order 2n to a Hessenberg eigenvalue problem of order n. Symplectic and norm scaling are provided, which may improve accuracy. Based on LAPACK. (See P. Benner et al., ACM TOMS 26 (2000) pp. 49-77).

Classification

D4a2	Real nonsymmetric matrix eigenvalue problems

Type

subroutine in TOMS package

Language

Fortran 77

Availability

Some uses prohibited, Portable

Precision

Double Precision

Download from NETLIB; Public access repository

Location

The University of Tennessee at Knoxville and Bell Laboratories

Contact

Jack Dongarra, ORNL (dongarra@cs.utk.edu) and Eric Grosse, Bell Labs (ehg@research.att.com)