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        SLEPc: Scalable Library for Eigenvalue Problem Computations
        SLEPc: Scalable Library for Eigenvalue Problem Computations
        ===========================================================
        ===========================================================
 
 
                            Vicente Hernandez
                      Developers:
                              Jose E. Roman
                              Jose E. Roman
                               Eloy Romero
                               Eloy Romero
                              Andres Tomas
                              Andres Tomas
 
 
 
                      Former collaborators:
 
                            Vicente Hernandez
                              Vicent Vidal
                              Vicent Vidal
 
 
        GRyCAP - Grupo de Redes y Computacion de Altas Prestaciones
        GRyCAP - Grupo de Redes y Computacion de Altas Prestaciones
                Universidad Politecnica de Valencia, Spain
                Universidad Politecnica de Valencia, Spain
 
 
        VERSION: 3.0.0
        VERSION: 3.1
 
 
 
 
 Overview
 Overview
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 The  emphasis  of the software is on methods and  techniques  appropriate  for
 The  emphasis  of the software is on methods and  techniques  appropriate  for
 problems  in  which  the  associated matrices are sparse, for  example,  those
 problems  in  which  the  associated matrices are sparse, for  example,  those
 arising after the discretization of partial differential equations. Therefore,
 arising after the discretization of partial differential equations. Therefore,
 most  of  the methods offered by the library are projection methods  or  other
 most  of  the methods offered by the library are projection methods  or  other
 methods  with  similar  properties.  Some of these methods  are  Krylov-Schur,
 methods with  similar properties.  Some of these methods are Krylov-Schur  and
 Arnoldi,  and Lanczos, to name a few. SLEPc implements these basic methods  as
 Jacobi-Davidson, to name a few.  SLEPc implements these basic methods  as well
 well  as more sophisticated algorithms. It also provides built-in support  for
 as  more  sophisticated  algorithms.  It also provides  built-in  support  for
 spectral transformations such as shift-and-invert.
 spectral transformations such as shift-and-invert.
 
 
 SLEPc is a general library in the sense that it covers standard and genralized
 SLEPc is a general library in the sense that it covers standard and genralized
 eigenvalue  problems,  both Hermitian and non-Hermitian, with either  real  or
 eigenvalue  problems,  both Hermitian and non-Hermitian, with either  real  or
 complex arithmetic.
 complex arithmetic.
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 The development of SLEPc has been partially supported by the following grants:
 The development of SLEPc has been partially supported by the following grants:
 
 
 - Oficina de Ciencia i Tecnologia, Generalitat Valenciana, CTIDB/2002/54.
 - Oficina de Ciencia i Tecnologia, Generalitat Valenciana, CTIDB/2002/54.
 - Direccio  General d'Investigacio i Transferencia de  Tecnologia, Generalitat
 - Direccio  General d'Investigacio i Transferencia de  Tecnologia, Generalitat
   Valenciana, GV06/091.
   Valenciana, GV06/091.
 
 - Ministerio de Ciencia e Innovacion, TIN2009-07519.
 
 
 
 
 Conditions of Use
 Conditions of Use
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 -----------------
 
 
 Copyright (c) 2002-2009, Universidad Politecnica de Valencia, Spain
 Copyright (c) 2002-2010, Universidad Politecnica de Valencia, Spain
 
 
    SLEPc is free software: you can redistribute it and/or modify it under  the
    SLEPc is free software: you can redistribute it and/or modify it under  the
    terms of version 3 of the GNU Lesser General Public License as published by
    terms of version 3 of the GNU Lesser General Public License as published by
    the Free Software Foundation.
    the Free Software Foundation.