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PME-toolkit

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 11 Mar 2026Publisher:Zenodo
Authors: Serani, Andrea;
Code repository: https://github.com/cnr-inm-mao/pme-toolkit/tree/v1.2.0

doi: 10.5281/zenodo.19068340 , 10.5281/zenodo.18983529 , 10.5281/zenodo.18962860 , 10.5281/zenodo.18962859

PME-toolkit

Abstract

PME-toolkit v1.2.0 First stable public release of PME-toolkit. Features Full support for: PME PI-PME PD-PME Dual implementation: Python (fully functional, CLI-enabled) MATLAB (aligned implementation for validation and benchmarking) JSON-driven workflow shared across implementations Analytical backmapping to original parametric variables Cross-language validation through regression tests Reproducible benchmark structure (glider, airfoil) Installation pip install pme-toolkit Documentation https://cnr-inm-mao.github.io/pme-toolkit/ Notes This release establishes PME-toolkit as a reproducible and extensible framework for design-space dimensionality reduction in shape optimization. The Python implementation is now fully operational, while MATLAB remains available for cross-validation and benchmarking purposes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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