Fast C++ matrix library with interfaces to LAPACK and ATLAS
Armadillo is a C++ linear algebra library (matrix maths)
aiming towards a good balance between speed and ease of use.
Integer, floating point and complex numbers are supported,
as well as a subset of trigonometric and statistics functions.
Various matrix decompositions are provided through optional
integration with LAPACK and ATLAS libraries.
A delayed evaluation approach is employed (during compile time)
to combine several operations into one and reduce (or eliminate)
the need for temporaries. This is accomplished through recursive
templates and template meta-programming.
This library is useful if C++ has been decided as the language
of choice (due to speed and/or integration capabilities), rather
than another language like Matlab or Octave.
- Sources inherited from project openSUSE:Leap:15.1
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Source Files
| Filename | Size | Changed |
|---|---|---|
| armadillo-9.200.7.tar.xz | 0004786620 4.56 MB | |
| armadillo.changes | 0000050210 49 KB | |
| armadillo.spec | 0000004497 4.39 KB | |
| baselibs.conf | 0000000115 115 Bytes |
Revision 17 (latest revision is 19)
Yuchen Lin (maxlin_factory)
accepted
request 677718
from
Atri Bhattacharya (badshah400)
(revision 17)
- Update to version 9.200.7:
+ Misc bug fixes.
- Update to version 9.200.4:
+ Faster handling of symmetric positive definite matrices by
rcond().
+ Faster transpose of matrices with size ≥ 512x512.
+ Faster handling of compound sparse matrix expressions by
accu(), diagmat(), trace().
+ Faster handling of sparse matrices by join_rows().
+ Added sinc().
+ Expanded sign() to handle scalar arguments.
+ Expanded operators (*, %, +, −) to handle sparse matrices with
differing element types (eg. multiplication of complex matrix
by real matrix).
+ Expanded conv_to() to allow conversion between sparse matrices
with differing element types.
+ Expanded solve() to optionally allow keeping solutions of
systems singular to working precision.
- Update to version 9.100.5:
+ Faster handling of symmetric/hermitian positive definite
matrices by solve().
+ Faster handling of inv_sympd() in compound expressions.
+ Added .is_symmetric().
+ Added .is_hermitian().
+ Expanded spsolve() to optionally allow keeping solutions of
systems singular to working precision.
+ New configuration options ARMA_OPTIMISE_SOLVE_BAND and
ARMA_OPTIMISE_SOLVE_SYMPD.
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