Skip to main content

Tensor Approximation Package: a Python package for the approximation of functions and tensors.

Project description

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

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

tensap-1.7.tar.gz (177.0 kB view details)

Uploaded Source

File details

Details for the file tensap-1.7.tar.gz.

File metadata

  • Download URL: tensap-1.7.tar.gz
  • Upload date:
  • Size: 177.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.12

File hashes

Hashes for tensap-1.7.tar.gz
Algorithm Hash digest
SHA256 df5bce61d42e4c3ee5e72352adac1bd65d41d531e854944f43ca2feef801856b
MD5 624888983aeb9884ca3c7b17388f8a82
BLAKE2b-256 b7a59d4c6ef0f36e98b4fd7b66b47568cb51130215aa6aff7d0641a408ed2537

See more details on using hashes here.

Supported by

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