arpack


arpack, a Fortran90 code which is a numerical software library for solving large scale eigenvalue problems. The package is designed to compute a few eigenvalues and corresponding eigenvectors of large sparse or structured matrices, using the Implicitly Restarted Arnoldi Method (IRAM) or, in the case of symmetric matrices, the corresponding variant of the Lanczos algorithm. It is used by many popular numerical computing environments such as SciPy, Mathematica, GNU Octave and MATLAB to provide this functionality.

The code supports single and double precision, real or complex arithmetic. The matrices involved can be symmetric or nonsymmetric. The user can request just a few eigenvalues, or all of them. There are special routines for banded matrices.

Because the package uses reverse communication, the user is free to store the matrix in any way suitable. The code will never require direct access to the matrix, only to the value of certain matrix-vector products such as A*x or A'*x.

The code requires access to the lapack() and blas() libraries.

There is an ARPACK home page at: https://www.caam.rice.edu/software/ARPACK/index.html.

Languages:

arpack is available in a Fortran90 version.

Related Data and Programs:

arpack_test

eispack, a Fortran90 code which contains eigenvalue routines, since replaced by LAPACK.

jacobi_eigenvalue, a Fortran90 code which implements the Jacobi iteration for the iterative determination of the eigenvalues and eigenvectors of a real symmetric matrix.

lapack_test, a Fortran90 code which demonstrates the use of the lapack() linear algebra library.

test_eigen, a Fortran90 code which defines various eigenvalue test cases.

test_matrix, a Fortran90 code which defines test matrices, some of which have known eigenvalues and eigenvectors.

Author:

Richard Lehoucq, Danny Sorensen, Chao Yang.

Reference:

  1. Richard Lehoucq, Danny Sorensen, Chao Yang,
    ARPACK User's Guide:
    Solution of Large Scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods
  2. Danny Sorensen,
    Implicitly Restarted Arnoldi/Lanczos Methods for Large Scale Eigenvalue Calculations,
    Department of Computational and Applied Mathematics,
    Rice University,
    TR-96-40
  3. Information about the use of the ARPACK execution trace facilities available through "debug.h" is given in arpack_debug.txt
  4. Information about the use of the ARPACK operation count and timing statistics available through "stat.h" is given in arpack_stat.txt

Source Code:


Last revised on 13 July 2024.