Hello everyone,

during my work with the Krylov subspace method QMRS in deal.ii I met some 
problems: the implementation of the method is, as stated in the class 
description, adapted from Algorithm 5.1 in *Freund/Nachtigal: Software for 
simplified Lanczos and QMR algorithms, Appl. Num. Math. 19 (1995), pp. 
319-341* (e.g http://dl.acm.org/citation.cfm?id=223396) specialized for the 
solution of right-preconditioned symmetric linear systems. The deal.ii 
version however calculates (at least up to version 8.4.1) the 
*preconditioned* initial residual - I think, referring to the cited paper 
and any other right-preconditioned Krylov subspace method, it should be the 
*unpreconditioned* one. I've noticed very bad convergence behaviour and 
breakdowns as well. What do you say? Do you agree with my conjecture?

Beside of that: I would suggest a different implementation of the symmetric 
QMR-method. In an earlier paper (
https://www.researchgate.net/publication/234171461_A_new_Krylov-subspace_method_for_symmetric_indefinite_linear_system
 
, 1994) Freund and Nachtigal propose the essentially same algorithm 
especially for solving symmetric indefinite linear systems with a symmetric 
precondition matrix, that is a) flexible for right, left and split 
preconditioning and b) compared to the existing deal.ii code requires only 
ONE application of the precondition matrix per iteration in the case of 
right preconditioning (instead of two). The best, I think, is a hybrid of 
both, avoiding squaring the scalars for updating the iterates because of 
possible rounding errors. 

Maybe I will rewrite the method on my own. if I find the time.

Greetings,
Ingo

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