2022
DOI: 10.1007/s42985-022-00214-y
|View full text |Cite
|
Sign up to set email alerts
|

Finite element approximation of invariant manifolds by the parameterization method

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(4 citation statements)
references
References 53 publications
0
4
0
Order By: Relevance
“…Instead, we will implement a fairly recent technique called the parameterization methoddeveloped in the early 2000s [6,7,8]. We merely utilize it here for its benefits as a computational tool (see [26] for a recent review detailing its numerical aspects), but the parameterization method has otherwise created a blooming subject area in dynamical systems, fueling much of today's research [26,41,53,23]. Crucially, the method envisions the manifold as the image of an embedding -rather than the above detailed graph approach -circumventing the issue regarding folds, and hence possibly enlarging its (initial) 4 domain of existence.…”
Section: Parameterizationmentioning
confidence: 99%
See 2 more Smart Citations
“…Instead, we will implement a fairly recent technique called the parameterization methoddeveloped in the early 2000s [6,7,8]. We merely utilize it here for its benefits as a computational tool (see [26] for a recent review detailing its numerical aspects), but the parameterization method has otherwise created a blooming subject area in dynamical systems, fueling much of today's research [26,41,53,23]. Crucially, the method envisions the manifold as the image of an embedding -rather than the above detailed graph approach -circumventing the issue regarding folds, and hence possibly enlarging its (initial) 4 domain of existence.…”
Section: Parameterizationmentioning
confidence: 99%
“…There are a few recently-emerged techniques that attempt to mitigate these costs via reducing the number of coefficients needed to be stored. For instance, an alternative form of discretization is encouraged in [23] for parabolic PDEs, the finite element method. While this seems advantageous for most applications due to the sparsity of coefficient matrices, finite elements generally require significantly higher resolutions when compared to Chebyshev-Fourier methods in the specific context of fluid flows (especially wall-bounded flows), which would likely diminish the advantages of sparsity.…”
Section: Power Series Expansionsmentioning
confidence: 99%
See 1 more Smart Citation
“…A review of model reduction for geometrically nonlinear structures can be found in [21] with more recent references in [32,38]. Some works also considers application to nonlinear PDE solved with the finite element method [39]. .…”
Section: Introductionmentioning
confidence: 99%