This version is archived at [figshare](https://figshare.com/), DOI: [DOI](https://doi.org/10.6084/m9.figshare.25282300).
**Highlights**
* Users now have more control over sparse matrices with `to_format` for sparse/dense conversion and `is_sparse`.
* Added `find_closest()` with dense and k-d tree implementations
* New functions `argmin`, `argmax`, `equal`, `erf`, `incomplete_gamma`
* Improved gradient descent optimizer via `math.minimize()`
* Support `...` for remaining dimensions in `reshaped_native`, `reshaped_tensor`.
* `scatter` now supports modes `min`, `max`, `prod`, `any`, `all`
* `min`, `max`, `nonzero` now support sparse tensors
* `random_uniform` now supports setting limits by `Tensor`
* `cross_product` now retains item names
* `slice` now supports primitives
* `map` now supports `dims='object'` to map over layout dimensions
* Non-uniform tensors can now be used with `dot`, `median`
* `vec` now allows empty vectors
* `linspace` now supports multiple dimensions
* Sparse-sparse matrix multiplication
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