Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs

Saved in:
Bibliographic Details
Published in:ArXiv cs.CC Recent Papers
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864130790144606208
collection WordPress RSS
FRELIP Feed Integration
container_title ArXiv cs.CC Recent Papers
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:48923
institution FRELIP
journal_source_facet ArXiv cs.CC Recent Papers
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
ArXiv cs.CC Recent Papers
Chemical Engineering
Engineering & Technology
sub_discipline_display Chemical Engineering
sub_discipline_facet Chemical Engineering
subject_display ArXiv cs.CC Recent Papers
Chemical Engineering
Engineering & Technology
ArXiv cs.CC Recent Papers
Chemical Engineering
Engineering & Technology
subject_facet ArXiv cs.CC Recent Papers
Chemical Engineering
Engineering & Technology
title Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_auth Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_full Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_fullStr Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_full_unstemmed Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_short Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs
title_sort primitive recursion without composition: dynamical characterizations, from neural networks to polynomial odes
topic ArXiv cs.CC Recent Papers
Chemical Engineering
Engineering & Technology
url https://arxiv.org/abs/2604.24356v1