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HSL (Fortran library)

Known as: Harwell Subroutine Library 
HSL, originally the Harwell Subroutine Library, is a collection of Fortran 77 and 95 codes that address core problems in numerical analysis. It is… 
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Numerical analysisSubroutine

Papers overview

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2010
2010
A Highly Efficient Parallel Algorithm for Computing the Fiedler Vector
This paper has been withdrawn by the author. 
2000
2000
Understanding MA27 - A Numerical Example
The Harwell Subroutine Library code MA27 is a collection of FORTRAN subroutines for solving sparse sets of symmetric linear… 
1999
1999
The design of a parallel frontal solver
In a previous report (Rutherford Technical Report RAL-94-040), Duu and Scott looked at extending the frontal method for nite… 
1999
1999
Sparse Direct Methods: An Introduction
The solution of large-scale linear systems lies at the heart of many computations in science, engineering, industry, and (more… 
1999
1999
Solving Dense Symmetric Eigenproblems on the Cray T3D
The work reported upon here has been carried out within a project one aim of which is to construct, for execution on the Cray T3D… 
1997
1997
A Comparison of frontal software with other sparse direct solvers
We compare the performance of sparse frontal codes from the Harwell Subroutine Library (HSL) against other HSL sparse direct… 
1997
1997
A Comparison of Frontal Software with Other Harwell Subroutine Library Sparse Direct Solvers
We compare the performance of sparse frontal codes from the Harwell Subroutine Library (HSL) against other HSL sparse direct… 
1996
1996
Frontal Software for the Solution of Sparse Linear Equations
We discuss the power and limitations of frontal solvers for the solution of large sparse systems of linear equations. We describe… 
1992
1992
A Performance Study of Sparse Cholesky Factorization on INTEL iPSC/860
Abstract : The problem of Cholesky factorization of a sparse matrix has been very well investigated on sequential machines. A… 
1982
1982
The design and use of a frontal scheme for solving sparse unsymmetric equations
We first describe frontal schemes for the solution of large sparse sets of linear equations and then discuss the implementation… 
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