Proper Orthogonal Decomposition with weighted inner products for CFD analysis
Project description
WeightedPOD
A Python library for Proper Orthogonal Decomposition (POD) with weighted inner products, specifically designed for CFD analysis with non-uniform meshes.
Features
- Volume-weighted POD for non-uniform meshes
- Memory-efficient implementation using float32
- Both snapshot method and SVD approaches
- Comprehensive visualization tools
- Easy-to-use API
Installation
pip install weighted-pod
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
weighted_pod-0.0.33.tar.gz
(9.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file weighted_pod-0.0.33.tar.gz.
File metadata
- Download URL: weighted_pod-0.0.33.tar.gz
- Upload date:
- Size: 9.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.20 tqdm/4.54.0 importlib-metadata/4.8.3 keyring/21.2.1 rfc3986/1.4.0 colorama/0.4.4 CPython/3.6.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7b3a0402b8dfb429fb75b2f30957b84165ab7eccb354a4baf3ea14f6bae71b81
|
|
| MD5 |
82b4559a61618435c7ac58b1ad58b605
|
|
| BLAKE2b-256 |
a1a77da9c94bd9dc5ac21022e59b01ced024f5ea43a43349d1b6bf260d5a6e09
|
File details
Details for the file weighted_pod-0.0.33-py3-none-any.whl.
File metadata
- Download URL: weighted_pod-0.0.33-py3-none-any.whl
- Upload date:
- Size: 10.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.20 tqdm/4.54.0 importlib-metadata/4.8.3 keyring/21.2.1 rfc3986/1.4.0 colorama/0.4.4 CPython/3.6.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c9d7cb3e9d448008ef8697526728c0a08ebb607162df84374ef1fbcde31c7db
|
|
| MD5 |
ea229cadae64e8b11618b13bb1a50337
|
|
| BLAKE2b-256 |
1020719fbacb8ab879533ec779f956b9b48664cfaab04196d31c3aac94a3e672
|
