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-0.0.22.tar.gz (6.8 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-0.0.22-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file weighted_pod-0.0.22.tar.gz.

File metadata

  • Download URL: weighted_pod-0.0.22.tar.gz
  • Upload date:
  • Size: 6.8 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-0.0.22.tar.gz
Algorithm Hash digest
SHA256 30b0cb91cdb4dc54ad25571222456d0a0c048a5fe54c38dd7d28d5208a390f3c
MD5 26b028ccc4841578079c0df49348145d
BLAKE2b-256 b5d5413d48ffc313cf565a4bed3b0ddaf6281b51b4182214f8cfa1312a600e5e

See more details on using hashes here.

File details

Details for the file weighted_pod-0.0.22-py3-none-any.whl.

File metadata

  • Download URL: weighted_pod-0.0.22-py3-none-any.whl
  • Upload date:
  • Size: 7.9 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-0.0.22-py3-none-any.whl
Algorithm Hash digest
SHA256 0eef8cd2b955ee4595463414adcb26ab6b31602a2fd72fb7899e7682d9bcdd6d
MD5 1912ac1fe9d96ef7d60387af623d09fa
BLAKE2b-256 0f3adf89e2975909043f29c227cdc0252121d3c8d6be65cc0ffbd5cd6962f435

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