Toshiki Teramura

Can you call other methods, e.g. `qr`? > ndarray-linalg = { version = "0.12.0", features = ["openblas"] } `least_squares` is added in [0.12.1](https://github.com/rust-ndarray/ndarray-linalg/releases/tag/0.12.1). Try `cargo update` If you cannot call...

Welcome :) Background ---------------- - ndarray-linalg links to [the netlib's reference implementation of LAPACK](https://github.com/Reference-LAPACK/lapack) through [blas-lapack-rs/netlib-src](https://github.com/blas-lapack-rs/netlib-src) - netlib-src crate only responsible for linking. FFI definitions for LAPACK (implemented in Fortran)...

ARM performance library could be a better backend https://developer.arm.com/tools-and-software/server-and-hpc/compile/arm-compiler-for-linux/arm-performance-libraries

> Arm Performance Libraries provides optimized standard core math libraries for high-performance computing applications on Arm processors. This free version of the libraries provides optimized libraries for Arm® Neoverse™ N1-based...

> If no-one is already working on it, I'd be happy to draft another PR. :) Great work! AFAIK no one is working on. > we made special allowances in...

Drop from 0.13.0

FYI: https://stackoverflow.com/questions/28445648/convert-symmetric-matrix-between-packed-and-full-storage

There is [solveh](https://docs.rs/ndarray-linalg/0.12.1/ndarray_linalg/solveh/index.html) submodule for PD matrices which calls `[sd]sytr[fsi]` and `[cz]hetr[fsi]`.

as https://github.com/rust-ndarray/ndarray-linalg/pull/241#issuecomment-670846243 drop from 0.13.0 milestone

NumPy returns ``` In [5]: a Out[5]: array([[1], [0]]) In [6]: np.linalg.qr(a) Out[6]: (array([[1.], [0.]]), array([[1.]])) ``` Do you have reason that the Matlab answer is "correct"?