EinmalmitProfis/Statistical-Tolerance-Analysis-and-Synthesis-with-Python: v1.0.0 – First archived / citable software release

Title data

Grohmann, Peter ; Kalvāns, Rolands ; Walter, Michael S. J.:
EinmalmitProfis/Statistical-Tolerance-Analysis-and-Synthesis-with-Python: v1.0.0 – First archived / citable software release.
: Zenodo , 2021
DOI: https://doi.org/10.5281/zenodo.17723953

Official URL:

Abstract in another language

The repository provides a unified core model for statistical tolerance analysis and cost-based tolerance synthesis, with both NumPy (CPU) and CuPy (GPU) backends and a differential-evolution-based optimization workflow. It can be adapted to other tolerance problems by modifying the closing dimension and cost model in the core module.

Further data

Item Type:	Other (Research data)
Keywords:	statistical tolerance analysis; tolerance synthesis; NumPy; CuPy; Monte Carlo mechanical engineering
Institutions of the University:	Faculties > Faculty of Engineering Science
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited:	28 Nov 2025 09:16
Last Modified:	28 Nov 2025 09:16
URI:	https://eref.uni-bayreuth.de/id/eprint/95348