Full Text Available

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

QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms

Saved in:
Bibliographic Details
Published in:Journal of Open Source Software
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030190435303426
collection WordPress RSS
FRELIP Feed Integration
container_title Journal of Open Source Software
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:7421
institution FRELIP
journal_source_facet Journal of Open Source Software
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_auth QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_full QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_fullStr QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_full_unstemmed QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_short QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms
title_sort qmcpy: a python framework for (quasi-)monte carlo algorithms
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://joss.theoj.org/papers/10.21105/joss.09705