Difference between revisions of "Adaptivity"
| Line 6: | Line 6: | ||
An error indicator is employed to determine which nodes should be (de)refined and the nodal density $h^0$ is altered appropriately. | An error indicator is employed to determine which nodes should be (de)refined and the nodal density $h^0$ is altered appropriately. | ||
This adaptive cycle below is repeated until the convergence criterion is met. The procedure on $j$-th iteration is written in more detail below: | This adaptive cycle below is repeated until the convergence criterion is met. The procedure on $j$-th iteration is written in more detail below: | ||
| − | + | ||
| − | + | 1. Fill $\Omega$ with nodes conforming to $h^j$. | |
| − | + | 2. Solve the problem to obtain $u^j$. | |
| − | + | 3. Compute the error indicator values $\varepsilon_i^j$ for each node $p_i$. | |
| − | + | 4. If the mean of $\varepsilon_i^j$ is below some tolerance $\varepsilon$ return $u^j$ as the solution and stop. | |
| + | 5. Adapt $h^j$ to obtain $h^{j+1}$. | ||
More details can be found in our paper: [https://arxiv.org/abs/1811.10368 https://arxiv.org/abs/1811.10368] | More details can be found in our paper: [https://arxiv.org/abs/1811.10368 https://arxiv.org/abs/1811.10368] | ||
Go back to [[Medusa#Examples|Examples]]. | Go back to [[Medusa#Examples|Examples]]. | ||
Revision as of 12:09, 11 June 2019
Go back to Examples.
The adaptive methodology in this paper behaves similarly to "remeshing" used commonly in FEM. Some initial (possibly variable) nodal spacing $h^0$ is chosen, as well as its lower and upper bounds $h_L$ and $h_U$, respectively. 3 Domain $\Omega$ is filled with nodes, conforming to $h^0$ and the solution $u^0$ is obtained. An error indicator is employed to determine which nodes should be (de)refined and the nodal density $h^0$ is altered appropriately. This adaptive cycle below is repeated until the convergence criterion is met. The procedure on $j$-th iteration is written in more detail below:
1. Fill $\Omega$ with nodes conforming to $h^j$. 2. Solve the problem to obtain $u^j$. 3. Compute the error indicator values $\varepsilon_i^j$ for each node $p_i$. 4. If the mean of $\varepsilon_i^j$ is below some tolerance $\varepsilon$ return $u^j$ as the solution and stop. 5. Adapt $h^j$ to obtain $h^{j+1}$.
More details can be found in our paper: https://arxiv.org/abs/1811.10368
Go back to Examples.
