Skip to main content

Build Status codecov Doc

tensap (Tensor Approximation Package)

A Python package for the approximation of functions and tensors.

tensap features low-rank tensors (including canonical, tensor-train and tree-based tensor formats or tree tensor networks), sparse tensors, polynomials, and allows the plug-in of other approximation tools. It provides different approximation methods based on interpolation, least-squares projection or statistical learning.

See the tutorials folder and its subfolders for examples of use.

Install from PyPi:

pip install tensap

Install from conda:

conda config --add channels conda-forge
conda config --set channel_priority strict
conda install tensap

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tensap-1.8.tar.gz (198.9 kB view details)

Uploaded Source

File details

Details for the file tensap-1.8.tar.gz.

File metadata

  • Download URL: tensap-1.8.tar.gz
  • Upload date:
  • Size: 198.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.12

File hashes

Hashes for tensap-1.8.tar.gz
Algorithm Hash digest
SHA256 7937d1e1f3ec79ef9e10bba8c28845455cd08cabadd7d272bed00e972951ba69
MD5 fc58f849a79c6fc27eea6db5ec8b4157
BLAKE2b-256 ece8bff67f70afea8e690ce2ce501bae8d79752e23c2d9e441fd230585de043c

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.8 This release

1 file

1.7

1 file

1.6

1 file

1.4

1 file

1.3

1 file

1.2

1 file

1.1

2 files

1.0

1 file

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