2009
DOI: 10.1002/cnm.1246
|View full text |Cite
|
Sign up to set email alerts
|

A solver combining reduced basis and convergence acceleration with applications to non‐linear elasticity

Abstract: SUMMARYAn iterative solver is proposed to solve the family of linear equations arising from the numerical computation of non-linear problems. This solver relies on two quantities coming from previous steps of the computations: the preconditioning matrix is a matrix that has been factorized at an earlier step and previously computed vectors yield a reduced basis. The principle is to define an increment in two sub-steps. In the first sub-step, only the projection of the unknown on a reduced subspace is increment… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
16
0

Year Published

2009
2009
2017
2017

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(16 citation statements)
references
References 25 publications
0
16
0
Order By: Relevance
“…[12] or in Ref. [36]. In the latter, a linear solver which is well adapted to ANM is introduced and makes it possible to reduce the computational times.…”
Section: Resultsmentioning
confidence: 99%
“…[12] or in Ref. [36]. In the latter, a linear solver which is well adapted to ANM is introduced and makes it possible to reduce the computational times.…”
Section: Resultsmentioning
confidence: 99%
“…Even if the second member time increases, it is negligible compared to the decomposition time. Then to reduce this computational time, one can use another linear solver which is welladapted to repeated right hand side problems [24], as with the asymptotic numerical method; reduce the number of steps by changing the path parameter definition [25] or use reduction methods to have to decompose a small size matrices [26,27]. These three approaches will be investigated in future works.…”
Section: Resultsmentioning
confidence: 98%
“…Therefore, the geometric boundary conditions associated to (23) are exactly satisfied by the expansions of u, v and w given by (24).…”
Section: Damped Platesmentioning
confidence: 92%
“…The use of these ANM vectors to obtain a reduced order model has been already applied to define efficient high order iterative correctors [29] or recently linear solvers [30]. In this study, the number of vectors issued from the first step is greater than in the previous study due to the harmonic numbers.…”
Section: Reduced Model Using Nonlinear Base (Nlb)mentioning
confidence: 97%