Main Todo Items =============== We are looking for volunteers to do the following tasks. Consult the TODO files in each directory first for specific requirements. * 1st-line support on the mailing lists (e.g. checking that bugs are reproducible, and that all relevant information is supplied) * Modified Ei(x) function (see specfunc/TODO) * Quasi-random number distributions * ODE algorithms from RKSUITE * Incomplete Fermi-Dirac functions * General Legendre functions * Spheroidal wave functions * Weierstrass elliptic functions * Complex Bessel Functions * Additional volunteers with access to a good library to get copies of papers for other developers. * Estimates of condition numbers for linear solvers * Sine and Cosine Transforms from FFTPACK (Alok Singhal ) * Cubature, e.g as provided by Cubpack. (Gert Van den Eynde ?) * Mathieu functions (Lowell Johnson ) * Fresnel Integrals ("Juergen J. Zach" ) * Cumulative Distribution functions for discrete random distributions Changes for Release 2.0 Break binary compatibility, but keep source compatibility. * Add a 'void *' to all workspaces, to allow for future changes. * Disable deprecated functions * Fix up the workspace_alloc functions so they have consistent names (add functions where needed, don't remove) * Standardize function names, in particular VERB vs NOUN (e.g. _invert vs _inverse). Also adopt a convection for functions which can operate in place vs use of workspace (e.g linalg_solve functions). * gsl_sf_ellint_D - remove useless argument n? Other tasks: * Remove use of long double internally, e.g. as an accumulator in loops. It introduces variation between platforms which is undesirable. It should be replaced with a preprocessor variable ACC_DOUBLE so that the user can compile the library with the old long double behavior if desired. * Use BLAS internally as much as possible, to take advantage of speed improvements on large-scale systems. There may be some instances where a simple for() loop is preferred since there's a function-call overhead in calling BLAS routines. * More tests. We should (at least) have a test for every error condition. Use GCOV to improve coverage. * Annotate the header files with GAMS classifications. See if they can be included in the GAMs website. * Make the return value EINVAL vs EDOM consistent for invalid parameters. EDOM means a domain error (i.e. float or mathematically undefined), EINVAL means invalid (i.e. zero length) * Change return 0 to return GSL_SUCCESS, and return -1 to GSL_FAILURE throughout, where appropriate. Similarly change any if(...) checks of return values to use == GSL_SUCCESS, if they are checking for zero. N.B. want to be careful about accidentally omitting error conditions if using something like == GSL_FAILURE when function returns a different error code. * Make sure that all #defines are fully wrapped in ()'s, especially the outermost layer which may have been missed. Everything should be of the form #define foo(x) (....) so there is no possibility of bad parsing. Need a perl script to check this! * Eliminate use of volatile where it has been used to force rounding (integration/). It is better to write the code to avoid dependence on rounding. * Constant objects (like gsl_roots_fsolver_brent) ought to have constant pointers (const gsl_roots_fsolver_type * const gsl_roots_fsolver_brent) * PyGSL -- python bindings for GSL, see http://pygsl.sf.net/ * From Goose ASCII import Categorical Sets Kernel Density Estimation Shampine Polynomial Regression Bootstrapping, Jacknife Descriptive: Range, Trimmed Mean, Winsorized Mean, Moments Harmonic mean, RMS, Durbin-Watson, AR1 independence Autocorr, Autocorr_z, Cramer vos Mises, Anderson-Darling Spearman-rho, Kendall-tau, EDF_D_both EDF_D_plus, EDF_D_minus, EDF_D, EDF_kuiper_V, pooled mean pooled var, Tests: kolmogorov_smirnov Moving average, Exponential moving average wilcoxon_statistic, wilcoxon_noties_cdf, wilcoxon_general_cdf Cochran Q test, KruskalWallis, McNemar, spearman_Rocc Wishlist or vague ideas ======================= * An example chapter on how to link GSL code with GNU Guile, and Python We could also provide g-wrap wrappers for guile, or swig.i files and swig demos so that swig can be run more easily. * Provide an interface to LAPACK, as for BLAS? Clarify the license for LAPACK first, their web page is vague on what the license terms are. Some parts of LAPACK are included in octave so maybe the Octave maintainers will know more. * Public domain or free texts which could be distributed with GSL: Abramowitz and Stegun, "Handbook of Mathematical Functions" appears to be public domain. SEPT/02: See online images at http://members.fortunecity.com/aands/ Devroye's book on Random Variates (1st ed) is/was in the public domain. * Investigate complex support in GCC: Operations like sin(z) silently convert argument to double, losing the imaginary part. This is mentioned in CEPHES documentation in 1998 with a patch to generate a warning. What happened? (Does it now work with gcc-3.0?) * Go through the matrix and vector functions systematically and decide what should be provided outside of BLAS. * Change from gsl-ref.texi to gsl.texi since it is the main file? Also, put under dir section "Math" (which seems to be the appropriate one for Debian, as Octave, Gnuplot etc are in that) * Remove error stream stuff?? It is hardly used. * Extend histogram routines as described in recent discussion * Check that there are no conflicts when linking with Lapack. CBLAS, ATLAS * Make a sorted datatype for the median and quantile functions so that the user can be prevented from passing unsorted data, which is not checked for. * Optimization/error for dest == src as appropriate * Provide a run-time expression evaluator for interactive programs where the user can provide formulas as strings. Keith Briggs recommended formulc2.22 which he had found useful in several projects. http://www.cs.brandeis.edu/~hhelf/formu/formulc.html. It is LGPL. Alternatively, the source code for GDB contains yacc grammars and evaluators for expressions in various languages, so that would be another way to go. It would have the advantage of following the language standards. If I was going to write something from scratch I would think about using that as a base, as the full set of operators are already included with the correct precedence rules. Being able to evaluate C and Fortran expressions could be useful. * We should have an index mapping type object which handles elements of size_t for vectors and matrices, or at least vectors and matrices of size_t in addition to long, int, etc.