teneva-ht-jax 0.1.1

Compact implementation of basic operations in the Hierarchical Tucker (HT) format for approximation and sampling from multidimensional arrays and multivariate functions

teneva_ht_jax

Description

This python package, named teneva_ht_jax (tensor evaluation with Hierarchical Tucker and jax), provides a very compact implementation of basic operations in the Hierarchical Tucker (HT) format, including approximation and sampling from multidimensional arrays and multivariate functions. The program code is organized within a functional paradigm and it is very easy to learn and use.

Installation

Current version "0.1.1".

The package can be installed via pip: pip install teneva_ht_jax (it requires the Python programming language of the version >= 3.8). It can be also downloaded from the repository teneva_ht_jax and installed by python setup.py install command from the root folder of the project.

Required python packages numpy (1.22+), scipy (1.8+), jax (3.3+; cpu version) and optax (0.1.5+) will be automatically installed during the installation of the main software product. However, it is recommended that you manually install them first.

Documentation, examples and tests

• See detailed online documentation for a description of each function and various numerical examples for each function.
• See the jupyter notebooks in the ./demo folder with brief description and demonstration of the capabilities of each function from the teneva_ht_jax package. Note that all examples from this folder are also presented in the online documentation.