ANASAZI is an extensible and interoperable framework for large-scale eigenvalue algorithms. The motivation for this framework is to provide a generic interface to a collection of algorithms for solving large-scale eigenvalue problems. ANASAZI is interoperable because both the matrix and vectors (defining the eigenspace) are considered to be opaque objects---only knowledge of the matrix and vectors via elementary operations is necessary. An implementation of Anasazi is accomplished via the use of interfaces. One of the goals of ANASAZI is to allow the user the flexibility to specify the data representation for the matrix and vectors and so leverage any existing software investment. The algorithms that will be included in package are Krylov-based and preconditioned eigensolvers.
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Thomquist, Heidi K., Hetmaniuk, Ulrich L., and Lehoucq, Richard B. Anasazi Block Eigensolvers Package.
Computer software. Vers. 00. USDOE. 1 Mar. 2004.
Web.
@misc{osti_1230709,
title = {Anasazi Block Eigensolvers Package, Version 00},
author = {Thomquist, Heidi K. and Hetmaniuk, Ulrich L. and Lehoucq, Richard B.},
abstractNote = {ANASAZI is an extensible and interoperable framework for large-scale eigenvalue algorithms. The motivation for this framework is to provide a generic interface to a collection of algorithms for solving large-scale eigenvalue problems. ANASAZI is interoperable because both the matrix and vectors (defining the eigenspace) are considered to be opaque objects---only knowledge of the matrix and vectors via elementary operations is necessary. An implementation of Anasazi is accomplished via the use of interfaces. One of the goals of ANASAZI is to allow the user the flexibility to specify the data representation for the matrix and vectors and so leverage any existing software investment. The algorithms that will be included in package are Krylov-based and preconditioned eigensolvers.},
doi = {},
url = {https://www.osti.gov/biblio/1230709},
year = {Mon Mar 01 00:00:00 EST 2004},
month = {Mon Mar 01 00:00:00 EST 2004},
note =
}
