lapack

Numerical Linear Algebra using LAPACK

http://hub.darcs.net/thielema/lapack/

Version on this page:	0.2.1
LTS Haskell 23.21:	0.5.2
Stackage Nightly 2024-12-09:	0.5.2
Latest on Hackage:	0.5.2

See all snapshots lapack appears in

BSD-3-Clause licensed and maintained by Henning Thielemann

This version can be pinned in stack with:lapack-0.2.1@sha256:a3ea198e8f114085c64103bf24b854744034174eb9bd1d1e8bff21df11e10814,5278

Module documentation for 0.2.1

Numeric
- Numeric.LAPACK

Depends on 14 packages(full list with versions):

base, blas-ffi, boxes, comfort-array, deepseq, fixed-length, guarded-allocation, lapack-ffi, lazyio, netlib-ffi, non-empty, tfp, transformers, utility-ht

Used by 1 package in nightly-2019-02-11(full list with versions):

hmm-lapack

This is a high-level interface to LAPACK. It provides solvers for simultaneous linear equations, linear least-squares problems, eigenvalue and singular value problems for matrices with certain kinds of structures.

Features:

Based on comfort-array: Allows to precisely express one-column or one-row matrices, as well as dense, square, triangular, banded, symmetric and block matrices.
Support all data types that are supported by LAPACK, i.e. Float, Double, Complex Float, Complex Double
No need for c2hs, hsc, Template Haskell or C helper functions
Dependency only on BLAS and LAPACK, no GSL
Works with matrices and vectors with zero dimensions.
Separate formatting operator (##): Works better for tuples of matrices and vectors than show. Show is used for code one-liners that can be copied back into Haskell modules.