Starting in the spring 2013, I videotaped the lectures for my MATH 676: Finite element methods in scientific computing course at the KAMU TV studio at Texas A&M. These are lectures on many aspects of scientific computing, software, and the practical aspects of the finite element method, as well as their implementation in the deal.II software library. Support for creating these videos was also provided by the National Science Foundation and the Computational Infrastructure in Geodynamics.
Note 1: In some of the videos, I demonstrate code or user interfaces. If you can't read the text, change the video quality by clicking on the "gear" symbol at the bottom right of the YouTube player.
Note 2: deal.II is an actively developed library, and in the course of this development we occasionally deprecate and remove functionality. In some cases, this implies that we also change tutorial programs, but the nature of videos is that this is not reflected in something that may have been recorded years ago. If in doubt, consult the current version of the tutorial.
Lecture 3.95: The ideas behind the finite element method. Part 6: Error estimates for the Laplace equation
The previous lectures have discussed the question of what the finite element solution actually is: Namely, a piecewise polynomial approximation of the exact solution of a partial differential equation, found by using the Galerkin approach based on the weak formulation.
But we have not discussed whether this is actually a useful approach. Is the numerical solution so defined accurate at all? Does it converge to the exact solution? This lecture deals with the question of convergence and "a priori" estimates of the error (i.e., the difference between exact and numerical solution) in different norms.
Slides: click here