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 1.2.1.post2205

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 1.2.1.post2205
File Size Uploaded
ezyrb-1.2.1.post2205.tar.gz 20.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ezyrb 1.2.1.post2205
File Interpreter ABI Platform
ezyrb-1.2.1.post2205-py3-none-any.whl Python 3 none any Details

Total release size: 40.5 kB

Release files / ezyrb-1.2.1.post2205.tar.gz

Download URL ezyrb-1.2.1.post2205.tar.gz
Size 20.0 kB
Tags Source
SHA-256 checksum
How to use checksums
ff953dbd58bef524565b26447f364c18b05a05d175ad388637ca3cd5ded024ff
BLAKE2b-256 checksum
How to use checksums
06c44567bdc614e013074325fa13cc50e2a728697c0256e6e84da747b5a24689
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12

Release files / ezyrb-1.2.1.post2205-py3-none-any.whl

Download URL ezyrb-1.2.1.post2205-py3-none-any.whl
Size 20.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
55bdcd426f95b6229c3ef98b5141445f76f9d67169fcce929d47983f8b5570bd
BLAKE2b-256 checksum
How to use checksums
c6c629286b7d496647203360f0534b5979f9ce424386c71f280f7e8fd143dc7e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12
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