Note: the word tensor used by this library refers to the n-dimensional array representation of a mathematical tensor.

A prototype for a linear algebra library that aims at supporting:

• Multi-demensional array ("tensor") arithmetic (including scalars, vectors, matrices and higher dimensional structures),
• Small (array based) tensors,
• Dense dynamically allocated tensors,
• Sparse tensors,
• Lazy arithmetic,
• Block (sparse or dense) matrices,
• Special matrices (block diagonal, lower triangular, upper triangular, etc.),
• Flat data layout in all tensor types for faster processing,
• Arithmetic between compatible tensors.

Some subset of the features above has already been implemented.

The quality criteria for this library (in no particular order) are

• performance
• simplicity (usage as well as implementation)
• safety

Meeting these criteria is work in progress.

Higher level algorithms like decompositions are currently outside the scope of this project and are expected to be provided by third-party crates.

This repository is licensed under either of

• Apache License, Version 2.0, (LICENSE-APACHE or https://www.apache.org/licenses/LICENSE-2.0)
• MIT License (LICENSE-MIT or https://opensource.org/licenses/MIT)

at your option.