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This is a repository associated with the paper "An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains" by Ben Adcock, Juan M. Cardenas, and Nick Dexter available at https://arxiv.org/abs/2202.00144

License: MIT License

MATLAB 100.00%
adaptive-sampling domain-discovery least-squares sampling-strategies domain-learning

adaptive-sampling-and-domain-learning's Introduction

Adaptive-sampling-and-domain-learning

This is a repository associated with the paper:

An adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains by Ben Adcock, Juan M. Cardenas, and Nick Dexter available at https://arxiv.org/abs/2202.00144.

If you have questions or comments about the code, please contact [email protected], [email protected], or [email protected].

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_[number]_[row]_[col]

where [number] is the figure numbers and [row] and [col] are the row number and column number is multi-panel figures.

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