New low-order mixed finite element methods for linear elasticity
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/03/06
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Indian UGC (journal)
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Refrences55
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Xuehai Huang
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Chao Zhang ORCID (unauthenticated)
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Yaqian Zhou
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Yangxing Zhu
Cite
Huang, Xuehai, et al. “New Low-Order Mixed Finite Element Methods for Linear Elasticity”. Advances in Computational Mathematics, vol. 50, no. 2, 2024, https://doi.org/10.1007/s10444-024-10112-z.
Huang, X., Zhang, C., Zhou, Y., & Zhu, Y. (2024). New low-order mixed finite element methods for linear elasticity. Advances in Computational Mathematics, 50(2). https://doi.org/10.1007/s10444-024-10112-z
Huang X, Zhang C, Zhou Y, Zhu Y. New low-order mixed finite element methods for linear elasticity. Advances in Computational Mathematics. 2024;50(2).
Journal Categories
Science
Mathematics
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1137/21M1433708 | SIAM Journal on Numerical Analysis |
| 2022 | |
| Complexes from Complexes | Foundations of Computational Mathematics |
| 21 | 2021 |
| New hybridized mixed methods for linear elasticity and optimal multilevel solvers | Numerische Mathematik |
| 10 | 2019 |
Fast auxiliary space preconditioners for linear elasticity in mixed form | Mathematics of Computation |
| 12 | 2018 |
| 10.1142/S0218202517500567 | 2017 |
Refrences Analysis
The category
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods 28
is the most frequently represented among the references in this article. It primarily includes studies from Numerische Mathematik The chart below illustrates the number of referenced publications per year.