Categorical Data Structures for Technical Computing
Abstract
Many mathematical objects can be represented as functors from finitely-presented categories to . For instance, graphs are functors to from the category with two parallel arrows. Such functors are known informally as -sets. In this paper, we describe and implement an extension of -sets having data attributes with fixed types, such as graphs with labeled vertices or real-valued edge weights. We call such structures "acsets," short for "attributed -sets." Derived from previous work on algebraic databases, acsets are a joint generalization of graphs and data frames. They also encompass more elaborate graph-like objects such as wiring diagrams and Petri nets with rate constants. We develop the mathematical theory of acsets and then describe a generic implementation in the Julia programming language, which uses advanced language features to achieve performance comparable with specialized data structures.
Cite
@article{arxiv.2106.04703,
title = {Categorical Data Structures for Technical Computing},
author = {Evan Patterson and Owen Lynch and James Fairbanks},
journal= {arXiv preprint arXiv:2106.04703},
year = {2024}
}
Comments
27 pages, 7 figures