This is a repository associated with the book chapter:
Towards optimal sampling for learning sparse approximations in high dimensions by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga
to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360
If you have questions or comments about the code, please contact [email protected], [email protected], [email protected] or [email protected].
Parts of this repository are based on the code for the book Sparse Polynomial Approximation of High-Dimensional Functions by Ben Adcock, Simone Brugiapaglia and Clayton G. Webster, which is available in the repository https://github.com/simone-brugiapaglia/sparse-hd-book
Files are organized into four main directories:
Contains the main Matlab files used to create figures in each chapter
Organized in chapters
Contains various Matlab functions needed across main scripts
Contains .mat files generated by scripts in src
Organized in chapters
These generaically take the form
fig_[chapt][number]_[row]_[col]
where [chpt] is the chapter number, [number], [number1] and [number2] are the figure numbers and [row] and [col] are the row number and column number is multi-panel figures.