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EISPACK

EISPACK is a software library for numerical computation of eigenvalues and eigenvectors of matrices, written in FORTRAN. It contains subroutines for… 
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Papers overview

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2021
2021
Ursprunglich war MATLAB1 ein Benutzerinterface fur Standardroutinen der numerischen Algebra (Eispack, Unpack (=Lapack)) basierend… 
2016
2016
matrix eigensystem routines eispack guide extension is available in our book collection an online access to it is set as public… 
Review
2007
Review
2007
Over the last twenty years, dense linear algebra libraries have gone through three generations of public domain general purpose… 
2003
2003
Parallel Formulation of Spatial Auto-Regression Abstract: Parallel formulation of spatial autoregression models is needed for… 
2001
2001
Parallelizing compilers rely on data dependence information in order to produce valid parallel code. Polynomial data dependence… 
1991
1991
In this thesis, we develop four numerical methods for computing the singular value decomposition (SVD) of large sparse matrices… 
1991
1991
This report demonstrates parallel versions of the Eispack functions TRED2 and TQL2 for finding all eigenvalues and eigenvectors… 
1982
1982
It happens every so often - a faculty member or graduate student turns up at the Computing Center with a question like this: “Do… 
Review
1977
Review
1977
For pt.I, see Kibernetika, vol.13, no.6, p.28 (1977). Considerable effort was devoted in the surveyed period to automatic… 
1973
1973
EISPACK is a collection of subroutines, written in ANSI Standard Fortran, designed to compute the eigenvalues and eigenvectors…