Skip to main content

EZyRB is a Python package that performs a data-driven model order reduction for parametrized problems exploiting the recent approaches. Such techniques are able to provide a parametric model capable to provide the real-time approximation of the solution of a generic (potentially complex and non linear) problem. The reduced model is totally built upon the numerical data obtained by the original (to reduce) model, without requiring any knowledge of the equations that describe this model, resulting in a well suited framework for industrial contexts due to its natural capability to been integrated with commercial software.

Metadata

Release files for ezyrb 1.3.0.post2304

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ezyrb 1.3.0.post2304
File Size Uploaded
ezyrb-1.3.0.post2304.tar.gz 34.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ezyrb 1.3.0.post2304
File Interpreter ABI Platform
ezyrb-1.3.0.post2304-py3-none-any.whl Python 3 none any Details

Total release size: 87.6 kB

Release files / ezyrb-1.3.0.post2304.tar.gz

Download URL ezyrb-1.3.0.post2304.tar.gz
Size 34.6 kB
Tags Source
SHA-256 checksum
How to use checksums
d73c98432fdf363e14f3ba22ef7f22b8194533c68276e386791a5b317405bf04
BLAKE2b-256 checksum
How to use checksums
75d5183607039773be052acb4705f56b954f9b7fce06548c5a0c673b95ef8cd3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release files / ezyrb-1.3.0.post2304-py3-none-any.whl

Download URL ezyrb-1.3.0.post2304-py3-none-any.whl
Size 53.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bde120462bc8a3cd84d404b6cf551c03bc2598763f8cec5b9d61f2142fcabad5
BLAKE2b-256 checksum
How to use checksums
7759cc36353926a8c14f2ade9d145a2f76b803d4bb9df0e6170f2cf22c1ebc91
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page