@hackage lapack0.2.3
Numerical Linear Algebra using LAPACK
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License
BSD-3-Clause
Maintainer
Henning Thielemann <haskell@henning-thielemann.de>
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Dependencies (14)
- base >=4.5 && <5
- blas-ffi >=0.0 && <0.2
- boxes >=0.1.5 && <0.2
- comfort-array >=0.3 && <0.4
- deepseq >=1.3 && <1.5
- fixed-length >=0.2 && <0.3 Show all…
Dependents (12)
@hackage/lapack-hmatrix, @hackage/linear-circuit, @hackage/interpolation, @hackage/acme-everything, @hackage/chemical-equation, @hackage/sum-pyramid, Show all…
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buildexamples
(off by default)
Build example executables
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 thanshow.Showis used for code one-liners that can be copied back into Haskell modules.
See also: hmatrix.