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This is a repository associated with the chapter book "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

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Towards-optimal-sampling-book

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

Code organization

Files are organized into four main directories:

src

Contains the main Matlab files used to create figures in each chapter

Organized in chapters

utils

Contains various Matlab functions needed across main scripts

data

Contains .mat files generated by scripts in src

Organized in chapters

Filenames

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.

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This is a repository associated with the chapter book "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

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