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POWER_METHOD\ The Power Method for Eigenvalues and Eigenvectors {#power_method-the-power-method-for-eigenvalues-and-eigenvectors align=”center”} =================================================


POWER_METHOD is a C++ library which carries out the power method.

The power method seeks to determine the eigenvalue of maximum modulus, and a corresponding eigenvector.

The basic power method will not perform as expected if, corresponding to the maximum modulus, there are complex eigenvalues, or a pair of real eigenvalues of opposite sign. The power method’s behavior can break down or be very slow initially if the starting vector has a zero or very small component in the eigenspace corresponding to the maximal eigenvalue.

A second version of the power method is included which can handle the case of complex eigenvalues.

Licensing: {#licensing align=”center”}

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages: {#languages align=”center”}

POWER_METHOD is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version.

ARPACK, a FORTRAN90 library which computes eigenvalues for large matrices;

EISPACK, a FORTRAN77 library which carries out eigenvalue computations; superseded by LAPACK;

TEST_EIGEN, a C++ library which implements test matrices for eigenvalue analysis.

TEST_MAT, a C++ library which defines test matrices.

TOMS343, a FORTRAN77 library which computes the eigenvalues and eigenvectors of a general real matrix;\ this is a FORTRAN77 version of ACM TOMS algorithm 343.

TOMS384, a FORTRAN77 library which computes the eigenvalues and eigenvectors of a symmetric matrix;\ this is a FORTRAN77 version of ACM TOMS algorithm 384.

Reference: {#reference align=”center”}

  1. Richard Burden, Douglas Faires,\ Numerical Analysis,\ Thomson Brooks/Cole, 2004,\ ISBN13: 978-0534392000,\ LC: QA297.B84.
  2. Ward Cheney, David Kincaid,\ Numerical Mathematics and Computing,\ Brooks-Cole Publishing, 2004,\ ISBN: 0534201121,\ LC: QA297.C426.
  3. Gene Golub, Charles VanLoan,\ Matrix Computations, Third Edition,\ Johns Hopkins, 1996,\ ISBN: 0-8018-4513-X,\ LC: QA188.G65.
  4. Eric VanDeVelde,\ Concurrent Scientific Programming,\ Springer, 1994,\ ISBN: 0-387-94195-9,\ LC: QA76.58.V35.

Source Code: {#source-code align=”center”}

Examples and Tests: {#examples-and-tests align=”center”}

List of Routines: {#list-of-routines align=”center”}

You can go up one level to the C++ source codes.


Last modified on 28 May 2008.