Skip to main content

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

Project details


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-0.0.36.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

weighted_pod-0.0.36-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file weighted_pod-0.0.36.tar.gz.

File metadata

  • Download URL: weighted_pod-0.0.36.tar.gz
  • Upload date:
  • Size: 9.7 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

Hashes for weighted_pod-0.0.36.tar.gz
Algorithm Hash digest
SHA256 29fe9c9249be6e834e068335b19f008c848f5c4e54a3b8bc304ef1f03e30c772
MD5 fc82aebc353f6776f277ace07b439c00
BLAKE2b-256 9fe7d61a233585d051ccb58c5d6b107597ddd86b2e771978461307e3a101158e

See more details on using hashes here.

File details

Details for the file weighted_pod-0.0.36-py3-none-any.whl.

File metadata

  • Download URL: weighted_pod-0.0.36-py3-none-any.whl
  • Upload date:
  • Size: 10.6 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

Hashes for weighted_pod-0.0.36-py3-none-any.whl
Algorithm Hash digest
SHA256 061c93aa8e2a6e7dc9b8a1b390342b451a1089d634b04790b174888e7f1f7b8d
MD5 2c5612ecd05d9a5910000b046e550a99
BLAKE2b-256 7cc45d90cefe3e19a8ceb0c7d454f795fce776c199c44c071df3cf367d70ced4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page