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GNU Scientific Library 2.4 released posted by psa, Mon 19 Jun 2017 02:07:19 PM UTC
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GNU Scientific Library 2.4 released

Item posted by Patrick Alken <psa> on Mon 19 Jun 2017 02:07:19 PM UTC.

Version 2.4 of the GNU Scientific Library (GSL) is now available. GSL provides a large collection of routines for numerical computing in C.

This release introduces some new features and fixes several bugs. The full NEWS file entry is appended below.

The file details for this release are:

ftp://ftp.gnu.org/gnu/gsl/gsl-2.4.tar.gz

ftp://ftp.gnu.org/gnu/gsl/gsl-2.4.tar.gz.sig

The GSL project homepage is http://www.gnu.org/software/gsl/

GSL is free software distributed under the GNU General Public License.

Thanks to everyone who reported bugs and contributed improvements.

Patrick Alken

--------------------

  • What is new in gsl-2.4:


** migrated documentation to Sphinx software, which has built-in support for latex equations and figures in HTML output

** add const to declaration of appropriate gsl_rstat routines

** bug fix for #45730: change gsl_sf_sin/cos to libm sin/cos

** fix Cholesky documentation regarding upper triangle on output

** added routines to compute integrals with fixed-point quadrature, based on IQPACK (Konrad Griessinger)

* added routines for Hermite polynomials, gsl_sf_hermite_ (Konrad Griessinger)

** added new nonlinear least squares example for fitting a Gaussian to data

** deprecated routines:
     gsl_sf_coupling_6j_INCORRECT
     gsl_sf_coupling_6j_INCORRECT_e

** deprecated routine 'gsl_linalg_hessenberg' (replaced by gsl_linalg_hessenberg_decomp)

** removed routines which were deprecated in v2.1:
     gsl_bspline_deriv_alloc
     gsl_bspline_deriv_free

** changed COD expression to Q R Z^T instead of Q R Z to be consistent with standard texts

** added check for nz == 0 in gsl_spmatrix_get (reported by Manuel Schmitz)

** permit zero-dimension blocks, vectors, matrics, subvectors, submatrices, and views of the above (bug #49988)

** added routine gsl_linalg_COD_lssolve2 for regularized least squares problems

 

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