large-scale eigenvalue algorithms - runtime files
DescriptionAnasazi 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 contains the dynamic libraries.
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If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install libtrilinos-anasazi12