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.
The videos are part of a broader effort to develop a modern way of teaching Computational Science and Engineering (CS&E) courses. If you are interested in adapting our approach, you may be interested in this paper I wrote with a number of education researchers about the structure of such courses and how they work.
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 31.55: Nonlinear problems, part 2: Newton's method for PDEs
Newton's method is the most method of choice to solve nonlinear equations (at least for problems for which it converges) because it converges with quadratic order. In the context of PDEs, we need to derive the equations that describe the Newton update as the solutions of a particular, linearized version of the original PDE.
This lecture shows how this is done for our model problem, the minimal surface equation, and discusses some of the other practical aspects of Newton's method in the context of PDEs.
Slides: click here