Math Blog Posts
(2022-01-11) Seminar notes mathematical optimization
Today I completed my seminar notes about selected topics in mathematical optimization: optimality conditions for finite-dimensional (un-)constrained continuous problems, (un-)constrained optimization methods, convex analysis, and many GNU Octave / Matlab examples. The material was created with Jupyter Book and JupyterLab running the octave_kernel using the Octave Docker image.
(C) 2017 — 2024 Kai Torben Ohlhus. This work is licensed under CC BY 4.0. Page design adapted from minima and researcher. Get the sources on GitHub.