Draft:Virtual element method

  • Comment: You have to find independent sources, and ones which are well cited. This is WP:TOOSOON, you probably have to wait for 2-3 years until there are > 100 cites of the papers. Ldm1954 (talk) 01:37, 27 September 2024 (UTC)

The Virtual Element Method (VEM) is a numerical technique used for solving partial differential equations (PDEs)[1][2]. It is a generalization of the Finite Element Method (FEM) and is particularly noted for its flexibility in handling complex geometries.

VEM allows the use of general polygonal and polyhedral meshes, accommodating elements with any number of sides. This flexibility simplifies the meshing process for intricate geometries. The method draws inspiration from Mimetic Finite Difference schemes, which aim to replicate the properties of differential operators at the discrete level. Additionally, VEM supports high polynomial degrees, enhancing the accuracy of the solutions.

The virtual element approximations to the solutions of the two sample problems

Introduction

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The Virtual Element Method (VEM) is a technique for numerically approximating partial differential equations using generalised polygonal or polytopedral meshes. It is an extension of Mimetic Finite Differences (MFD) and Finite Element Methods (FEM).[1]

Basic Concepts

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  • Subdivides a domain into partitions similar to a Finite Element Method.
  • Uses non-polynomial virtual that do not need to be calculated. [3]

References

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  1. ^ a b BeirãO Da Veiga, L.; Brezzi, F.; Cangiani, A.; Manzini, G.; Marini, L. D.; Russo, A. (January 2013). "Basic Principles of Virtual Element Methods". Mathematical Models and Methods in Applied Sciences. 23 (1): 199–214. doi:10.1142/S0218202512500492. ISSN 0218-2025.
  2. ^ Veiga, Lourenço Beirão Da; Brezzi, Franco; Marini, L. Donatella; Russo, Alessandro (May 2023). "The virtual element method". Acta Numerica. 32: 123–202. doi:10.1017/S0962492922000095. ISSN 0962-4929.
  3. ^ Sutton, O. J. (August 2017). "The virtual element method in 50 lines of MATLAB". Numerical Algorithms. 75 (4): 1141–1159. doi:10.1007/s11075-016-0235-3. ISSN 1017-1398.

Further reading

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