From: Wolfgang Bangerth Date: Thu, 6 Aug 2009 13:49:27 +0000 (+0000) Subject: Read over it from the perspective of someone who doesn't have any idea what X-Git-Tag: v8.0.0~7380 X-Git-Url: https://gitweb.dealii.org/cgi-bin/gitweb.cgi?a=commitdiff_plain;h=821aa6442195b68cf0f497f3d53bab81afd4097b;p=dealii.git Read over it from the perspective of someone who doesn't have any idea what all of this does. git-svn-id: https://svn.dealii.org/trunk@19187 0785d39b-7218-0410-832d-ea1e28bc413d --- diff --git a/deal.II/doc/doxygen/headers/preconditioners.h b/deal.II/doc/doxygen/headers/preconditioners.h index e9fd29d0ff..f0e1f7e269 100644 --- a/deal.II/doc/doxygen/headers/preconditioners.h +++ b/deal.II/doc/doxygen/headers/preconditioners.h @@ -22,15 +22,18 @@ * preconditioners when available. * * When talking of preconditioners, we usually expect them to be used - * in Krylov-space methods. Nevertheless, the concept becomes clearer - * in the standard linear defect correction + * in Krylov-space methods. In that case, the act as operators: given + * a vector $x$, produce the result $y=P^{-1}x$ of the multiplication + * with the preconditioning operator $P^{-1}$. + * + * However, some preconditioners can also be used + * in the standard linear defect correction iteration, * @f[ * x^{k+1} = x^k - P^{-1} \bigl(A x^k - b\bigr), * @f] - * where P-1 is the preconditioner. Thus, + * where P-1 is again the preconditioner. Thus, * preconditioning amounts to applying a linear operator to the - * residual. For this reason, the interface of preconditioners equals - * the one for matrices. + * residual. * *

The interface

* @@ -59,14 +62,16 @@ * void vmult (VECTOR& dst, const VECTOR& src) const; * void Tvmult (VECTOR& dst, const VECTOR& src) const; * @endcode - * Solvers use the function - * vmult() of the preconditioner. Some solvers may also use - * Tvmult(). + * These functions apply the preconditioning operator to the source + * vector $src$ and return the result in $dst$ as $dst=P^{-1}src$ or + * $dst=P^{-T}src$. Preconditioned iterative + * dolvers use these vmult() functions of the preconditioner. + * Some solvers may also use Tvmult(). * *

Relaxation methods

* - * Additional to the interface described below, some preconditioners - * like SOR and Jacobi have benn known as iterative methods + * Additional to the interface described above, some preconditioners + * like SOR and Jacobi have been known as iterative methods * themselves. For them, an additional interface exists, consisting of * the functions * @code @@ -74,6 +79,13 @@ * void Tstep (VECTOR& dst, const VECTOR& src) const; * @endcode * + * Here, $src$ is a residual vector and $dst$ is the iterate that is + * supposed to be updated. In other words, the operation performed by + * these functions is + * $dst = dst - P^{-1} src$ and $dst = dst - P^{-T} src$. The + * functions are called this way because they perform one step + * of a fixed point iteration. + * * @ingroup LAC * @ingroup Matrices */