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.

this package provides headers.