Lubeck: Hight Level Linear Algebra for Dlang

[data pulverizer via Digitalmars-d-announce]

On Tuesday, 13 June 2017 at 08:26:20 UTC, 9il wrote:
> Hi
>
> I am pleased to announce the Lubeck [1] linear algebra library 
> for Dlang.
> It is very easy to use and it has been tested in real world.
>
> The following functionality is implemented:
>
> 1. `mtimes` - General matrix-matrix, row-matrix, matrix-column, 
> and row-column multiplications.
>
> 2. `mldivide` - Solve systems of linear equations AX = B for X. 
> Computes minimum-norm solution to a linear least squares problem
> if A is not a square matrix.
>
> 3. `inv` - Inverse of matrix.
>
> 4. `svd` - Singular value decomposition.
>
> 5. `pca` - Principal component analysis of raw data.
>
> 6. `pinv` - Moore-Penrose pseudoinverse of matrix.
>
> 7. `det`/`detSymmetric` - General/symmetric matrix determinant.
>
> 8. `eigSymmetric` - Eigenvalues and eigenvectors of symmetric 
> matrix.
>
>
> The package depends on mir-blas, mir-lapack, and mir-algorithm.

> This work has been sponsored by Symmetry Investments[7] and 
> Kaleidic Associates[8].
>
> Best regards,
> Ilya

This is great news! as I said in a previous discussion 
(https://forum.dlang.org/post/nrbcrpnvcrlqvpqholuv@forum.dlang.org) a library like this is pretty important for numerical computing in D and together with Mir can form the basis of implementing algorithms for a myriad of applications in analysis.

Many thanks to all those involved!