numerical validation
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2022 ◽  
Vol 236 ◽  
pp. 111819
Author(s):  
Alka Karan ◽  
Guillaume Dayma ◽  
Christian Chauveau ◽  
Fabien Halter

2021 ◽  
Vol 33 (12) ◽  
pp. 121701
Author(s):  
Geoffrey Vaartstra ◽  
Zhengmao Lu ◽  
Jeffrey C. Grossman ◽  
Evelyn N. Wang

2021 ◽  
Vol 26 (4) ◽  
pp. 684-695
Author(s):  
Jöel Chaskalovic ◽  
Franck Assous

We propose a numerical validation of a probabilistic approach applied to estimate the relative accuracy between two Lagrange finite elements Pk and Pm,(k < m). In particular, we show practical cases where finite element Pk gives more accurate results than finite element Pm. This illustrates the theoretical probabilistic framework we recently derived in order to evaluate the actual accuracy. This also highlights the importance of the extra caution required when comparing two numerical methods, since the classical results of error estimates concerns only the asymptotic convergence rate.


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