An assessment of linear versus non-linear multigrid methods for unstructured mesh

2001 ◽  
Author(s):  
D. Mavriplis
Keyword(s):  
Unstructured Mesh ◽  
Multigrid Methods ◽  
Non Linear

scholarly journals Prediction of 3D flow field with non-linear k-ε model based on unstructured mesh

2004 ◽  
Vol 7 ◽  
pp. 1077-1088 ◽  
Author(s):  
Hajime NAKAGAWA ◽  
Hao ZHANG ◽  
Taisuke ISHIGAKI ◽  
Yasunori MUTO
Keyword(s):  
Flow Field ◽  
Unstructured Mesh ◽  
3D Flow ◽  
Model Based ◽  
Non Linear

scholarly journals Multigrid methods and data assimilation ― Convergence study and first experiments on non-linear equations

2011 ◽  
Vol Volume 14 - 2011 - Special... ◽  
Author(s):  
Emilie Neveu ◽  
Laurent Debreu ◽  
François-Xavier Le Dimet
Keyword(s):  
Optimal Control ◽  
Data Assimilation ◽  
Linear Equations ◽  
Computational Cost ◽  
Multigrid Methods ◽  
Advection Equation ◽  
Non Linear ◽  
Discretization Errors ◽  
Correction Step ◽  
The Impact

International audience In order to limit the computational cost of the variational data assimilation process, we investigate the use of multigrid methods to solve the associated optimal control system. On a linear advection equation, we study the impact of the regularization term and the discretization errors on the efficiency of the coarse grid correction step introduced by the multigrid method. We show that even if for a perfect numerical model the optimal control problem leads to the solution of an elliptic system, discretization errors introduce implicit diffusion that can alter the success of the multigrid methods. Then we test the multigrids configuration and the influence of the algorithmic parameters on a non-linear Burgers equation to show that the algorithm is robust and converges much faster than the monogrid one. Afin de limiter le coût de calcul lié aux méthodes variationnelles d’assimilation de données, nous nous intéressons ici à l’utilisation de méthodes multigrilles pour la résolution de systèmes de contrôle optimal. Sur un modèle simple d’advection linéaire, nous étudions l’impact du terme de régularisation du contrôle optimal ainsi que l’impact des erreurs de discrétisation sur l’efficacité de la correction grille grossière introduite par cette méthode. En particulier, nous montrons que pour un modèle numérique parfait, le problème de contrôle optimal est elliptique mais que les erreurs de discrétisation introduisant une diffusion implicite peuvent altérer les performances de la méthode multigrille. Enfin, sur une équation de Burgers, non linéaire, nous étudions l’influence des différents paramètres inhérents aux méthodes multigrilles et montrons que ces méthodes sont robustes et convergent beaucoup plus rapidement que les méthodes monogrilles.

B. The Non-Linear Calculations for Pulsating Stars

1967 ◽  
Vol 28 ◽  
pp. 105-176
Author(s):  
Robert F. Christy
Keyword(s):  
Major Part ◽  
Afternoon Session ◽  
Discussion Session ◽  
Pulsating Stars ◽  
Fourth Symposium ◽  
Non Linear ◽  
Considerable Discussion ◽  
Informal Approach ◽  
Preceding Session

(Ed. note: The custom in these Symposia has been to have a summary-introductory presentation which lasts about 1 to 1.5 hours, during which discussion from the floor is minor and usually directed at technical clarification. The remainder of the session is then devoted to discussion of the whole subject, oriented around the summary-introduction. The preceding session, I-A, at Nice, followed this pattern. Christy suggested that we might experiment in his presentation with a much more informal approach, allowing considerable discussion of the points raised in the summary-introduction during its presentation, with perhaps the entire morning spent in this way, reserving the afternoon session for discussion only. At Varenna, in the Fourth Symposium, several of the summaryintroductory papers presented from the astronomical viewpoint had been so full of concepts unfamiliar to a number of the aerodynamicists-physicists present, that a major part of the following discussion session had been devoted to simply clarifying concepts and then repeating a considerable amount of what had been summarized. So, always looking for alternatives which help to increase the understanding between the different disciplines by introducing clarification of concept as expeditiously as possible, we tried Christy's suggestion. Thus you will find the pattern of the following different from that in session I-A. I am much indebted to Christy for extensive collaboration in editing the resulting combined presentation and discussion. As always, however, I have taken upon myself the responsibility for the final editing, and so all shortcomings are on my head.)

A decomposition method in non-linear programmm

Optimization ◽  
1975 ◽  
Vol 6 (4) ◽  
pp. 549-559
Author(s):  
L. Gerencsér
Keyword(s):  
Decomposition Method ◽  
Non Linear

The licensing and accreditation debate: Linear thinking in a non-linear world?

1979 ◽  
Author(s):  
George W. Howe ◽  
James H. Dalton ◽  
Maurice J. Elias
Keyword(s):  
Non Linear
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