Plans for week 9, February 28 - March 4

Hi all, it was a great pleasure seeing you all again.
Here are the links to the video for the lecture this (subtitles coming later) and the handwritten notes
 -Video of Lecture at https://youtu.be/hqO-lSns9jo
- Handwritten notes at https://github.com/CompPhysics/ComputationalPhysics2/blob/gh-pages/doc/HandWrittenNotes/2022/NotesFebruary24.pdf

Next week we will wrap up the discussion of gradient methods, including a derivation of the steepest descent method, the conjugate gradient descent and semi-Newton-Raphson methods, in addition to a discussion of stochastic gradient descent methods.  The lecture slides for next week will be upgraded during the weekend,  but their location is at  http://compphysics.github.io/ComputationalPhysics2/doc/pub/week7/html/week7-reveal.html

After we have concluded the optimization part we will move to a statistical analysis of our results, in particular we will discuss resampling methods like blocking and bootstrapping of the data. This is our second-last ingredient in order to build up a professional VMC program. Parallelization is the only item which is then missing.

Best wishes to you all and cya soon again,
Morten and Øyvind