$$ \gdef\pd#1#2{\frac{\partial #1}{\partial #2}} \gdef\d#1{\, \mathrm{d}#1} \gdef\dx{\d{x}} \gdef\tr#1{\operatorname{tr} (#1)} $$ $$ \gdef\norm#1{\left \lVert #1 \right\rVert} \gdef\seminorm#1{| #1 |} $$ $$ \gdef\vec#1{\mathbf{\boldsymbol{#1}}} \gdef\dvec#1{\bar{\vec #1}} $$

Module fenris::error

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Expand description

Functionality for error estimation.

Structs

Traits

  • A function $u: \mathbb{R}^d \rightarrow \mathbb{R}^s$ of the form $u(x)$ used to represent a reference solution.
  • The gradient $\nabla u$ of a function $u: \mathbb{R}^d \rightarrow \mathbb{R}^s$ of the form $u(x)$ used to represent a reference solution.

Functions

  • Estimate the squared $H^1$ seminorm error $|u_h - u |^2_{H^1}$ on the given finite element space with the given solution weights and quadrature table.
  • Estimate the squared $H^1$ seminorm error $| u_h - u |^2_{H^1}$ on the given finite element space with the given solution weights and quadrature table.
  • Estimate the $L^2$ error $\norm{u_h - u}_{L^2}$ on the given finite element space with the given solution weights and quadrature table.
  • Estimate the squared $L^2$ error $\norm{u_h - u}^2_{L^2}$ on the given finite element space with the given solution weights and quadrature table.
  • Estimate the $H^1$ seminorm error $\seminorm{u_h - u}_{H^1}$ on the given element with the given basis weights and quadrature points.
  • Estimate the squared $H^1$ seminorm error $\seminorm{u_h - u}^2_{H^1}$ on the given element with the given basis weights and quadrature points.
  • Estimate the $L^2$ error $\norm{u_h - u}_{L^2}$ on the given element with the given basis weights and quadrature points.
  • Estimate the squared $L^2$ error $\norm{u_h - u}^2_{L^2}$ on the given element with the given basis weights and quadrature points.