9c7660771f
No shlib major bump despite the big version bump. * What is new in gsl-2.0: ** fixed bug #43258 for hypergeometric functions (Raymond Rogers) ** added L-curve analysis routines for linear Tikhonov regression ** add running statistics module ** added bilinear and bicubic interpolation (David Zaslavsky) ** added function gsl_multifit_robust_residuals to compute robust fit residuals ** added Steffen monotonic interpolation method (Jean-François Caron) ** added new nonlinear least squares solver 'lmniel' suitable for systems with large numbers of data ** nonlinear least squares solver now tracks the number of function and Jacobian evaluations, see example program for details ** the 'fdf' field of gsl_multifit_function_fdf is now deprecated and does not need to be specified for nonlinear least squares problems ** added extensive test suite to nonlinear least squares module, resulting in a few minor bug fixes; the routine gsl_multifit_fdfsolver_driver has been rewritten (with API change) to handle the various error codes of the lmsder iterate routine, resulting in a high level caller which is highly robust for a wide class of problems ** added support for sparse matrices, including a GMRES iterative linear solver ** added routines gsl_linalg_givens and gsl_linalg_givens_gv for Givens rotations ** added Tikhonov (ridge) regularization to least squares module (linear and nonlinear) ** removed unused argument 'n' from gsl_sf_ellint_D ** merged bspline_deriv_workspace into bspline_workspace to simplify bspline API; the functions gsl_bspline_deriv_alloc gsl_bspline_deriv_free are now deprecated and will be removed in a future release. ** merged ALF extension into GSL for associated Legendre functions; api has changed; consequently the functions: gsl_sf_legendre_Plm_array gsl_sf_legendre_Plm_deriv_array gsl_sf_legendre_sphPlm_array gsl_sf_legendre_sphPlm_deriv_array gsl_sf_legendre_array_size are now deprecated and will be removed in a future release. ** added function gsl_multifit_robust_weights to allow user to access the various weighting functions |
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