# A Sequential Least Squares Method for Poisson Equation using A Patch   Reconstructed Space

**Authors:** Ruo Li, Fanyi Yang

arXiv: 1901.06485 · 2024-12-20

## TL;DR

This paper introduces a novel sequential least squares finite element method for solving the Poisson equation, utilizing a patch reconstructed space for flux approximation, which enhances efficiency and flexibility.

## Contribution

The paper develops a new flux approximation space using patch reconstruction with irrotational polynomials, enabling a sequential solution approach for the Poisson equation.

## Key findings

- Error estimates in energy and L^2 norms are derived.
- Numerical results confirm the convergence order.
- The method demonstrates high efficiency and flexibility.

## Abstract

We propose a new least squares finite element method to solve the Poisson equation. By using a piecewisely irrotational space to approximate the flux, we split the classical method into two sequential steps. The first step gives the approximation of flux in the new approximation space and the second step can use flexible approaches to give the pressure. The new approximation space for flux is constructed by patch reconstruction with one unknown per element consisting of piecewisely irrotational polynomials. The error estimates in the energy norm and $L^2$ norm are derived for the flux and the pressure. Numerical results verify the convergence order in error estimates, and demonstrate the flexibility and particularly the great efficiency of our method.

## Full text

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## Figures

24 figures with captions in the complete paper: https://tomesphere.com/paper/1901.06485/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/1901.06485/full.md

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Source: https://tomesphere.com/paper/1901.06485