GSL-- Class List Here are the classes, structs, unions and interfaces with brief descriptions: gslmm::_matrix_manip_mult< T > Class that represents a matrix-matrix product gslmm::_matrix_manip_vector_mult< T > Class that represents a matrix-matrix product gslmm::_matrix_mult< T > Class that represents a matrix-matrix product gslmm::_matrix_vector_mult< T > Class that represents a matrix-matrix product gslmm::annealing< T, Printer, Allocator > Perform a simulated annealing gslmm::annealing< T, Printer, Allocator >::status Internal status structure gslmm::annealing_printer< T > Default printer for annealing optionmm::basic_command_line< ErrorHandler > Command line parser basic_linear optionmm::basic_option< Type, argument, multivalue, Trait > Command line option class gslmm::bernoulli Bernoulli distribution interface class gslmm::beta distribution interface class gslmm::binomial Binomial distribution interface class gslmm::bivariate_gaussian Gaussian Bivrate distribution interface class gslmm::cauchy Cauchy distribution interface class gslmm::cerr_policy An error handling policy gslmm::chebyshev_series Chebyshev series approximation gslmm::chisq distribution interface class cholesky_decomposition Basic template for Cholesky decompositions of matricies gslmm::cholesky_decomposition< double > Class template specialisation for Cholesky decompositions of matricies of type double gslmm::combination A combination representation gslmm::complex< T > Complex numbers (base template) gslmm::complex< double > double Specialisation of gslmm::complex<T> gslmm::complex< long double > long double Specialisation of gslmm::complex<T> gslmm::constant Mathematical contants gslmm::dataset< T > Class template for statistics on numbers gslmm::dataset< char > Class template specialisation for char gslmm::dataset< double > Class template specialisation for double gslmm::dataset< float > Class template specialisation for float gslmm::dataset< int > Class template specialisation for int gslmm::dataset< long > Class template specialisation for long gslmm::dataset< long double > Class template specialisation for long double gslmm::dataset< short > Class template specialisation for short gslmm::dataset< unsigned char > Class template specialisation for unsigned char gslmm::dataset< unsigned int > Class template specialisation for unsigned int gslmm::dataset< unsigned long > Class template specialisation for unsigned long gslmm::dataset< unsigned short > Class template specialisation for unsigned short optionmm::default_error_handler The default error handler for the command line gslmm::dir Spherical distribution interface class gslmm::dirichlet Dirichlet distribution interface class gslmm::discrete Random number distribution interface class gslmm::distribution< Return > Random number distribution interface class gslmm::divide_difference< Value > Newtons divide difference representation of a polynomial gslmm::divide_difference< double > Newtons divide difference representation of a polynomial - double specialisation gslmm::empty_policy An error handling policy gslmm::erlang Erlang distribution interface class gslmm::error_handler< Policy, Lock > Error handling class gslmm::error_handler< Policy, Lock >::basic_policy< PolicyType > Generic policy adaptors gslmm::error_handler< Policy, Lock >::policy_base Base class for policy adaptors gslmm::exception_policy An error handling policy gslmm::exponential Exponential distribution interface class gslmm::exponential_power Exponential power distribution interface class gslmm::fdist F distribution interface class gslmm::fitter< Client > Class template for fitting arbitriary objects gslmm::fitter< Client >::func_t Pointer to the current fit function gslmm::fitter< Client >::solver_t Pointer to the current fitter solver gslmm::fitter< Client >::type_t Pointer to the current fitter type gslmm::flat Uniform (flat) distribution interface class gslmm::function_1d< Type > A 1D generalised function gslmm::function_1d< double > A 1D generalised function - double specialisation gslmm::function_base< Value, Argument, Derive, Error, Scale > Abstract base class for functions of all kinds gslmm::gamma distribution interface class gslmm::gaussian Gaussian distribution interface class gslmm::gaussian_bivariate Gaussian Bivrate distribution interface class gslmm::gaussian_tail Gaussian tail distribution interface class gslmm::generator Random number generator interface class gslmm::geometric Geometric distribution interface class gslmm::givens_rotation< Type > Compute and apply a Givens rotation: gslmm::givens_rotation< double > Compute and apply a Givens rotation: gslmm::givens_rotation< float > Compute and apply a Givens rotation: gslmm::guard< Lock > Class to ease the locking gslmm::gumbel Gumbel distribution (type 1 and 2) interface class gslmm::histogram< Value, Bin > Base template for histogram classes gslmm::histogram< double, size_t > A 1D histogram class gslmm::histogram< double, size_t >::pdf Probablity distribution function from a 1D histogram gslmm::histogram< std::pair< double, double >, std::pair< size_t, size_t > > A 2D histogram class gslmm::histogram< std::pair< double, double >, std::pair< size_t, size_t > >::pdf Probablity distribution function from a 2D histogram gslmm::hypergeometric Hypergeometric distribution interface class gslmm::ieee< Lock > Set up the IEEE floating point environment gslmm::ieee_representation< Real > Represetation of real values numbers gslmm::ieee_representation< double > Represetation of real values numbers gslmm::ieee_representation< float > Represetation of real values numbers gslmm::landau Landau distribution interface class gslmm::laplace Laplace distribution interface class gslmm::levy Levy distribution interface class gslmm::levy_skew Levy skew distribution interface class gslmm::linear< np > Class template to do fits to experimental data using linear combinations of functions gslmm::linear< 1 > Class template to do fits to experimental data using linear combinations of functions gslmm::linear< 2 > Class template to do fits to experimental data using linear combinations of functions gslmm::logarithmic Logarithmic distribution interface class gslmm::logistic Logistic distribution interface class gslmm::lognormal Log normal distribution interface class lq_decomposition Basic template for LQ decompositions of matricies gslmm::lq_decomposition< double > Class template specialisation for LQ decompositions of matricies of type double lq_decomposition_pivot Basic template for LQ decompositions with pivot of matricies gslmm::lq_decomposition_pivot< double > Class template specialisation for LQ decompositions with column pivoting of matricies of type double lu_decomposition Basic template for LU decompositions of matricies gslmm::lu_decomposition< complex< double > > Class template specialisation for LU decompositions of matricies of type complex<double> gslmm::lu_decomposition< double > Class template specialisation for LU decompositions of matricies of type double gslmm::machine Machine precision constants matrix Base template for matricies classes gslmm::matrix< char > Matrix char specialisation gslmm::matrix< complex< double > > Matrix complex<double> specialisation gslmm::matrix< double > Matrix double specialisation gslmm::matrix< float > Matrix float specialisation gslmm::matrix< int > Matrix int specialisation gslmm::matrix< long > Matrix long specialisation gslmm::matrix< long double > Matrix long double specialisation gslmm::matrix< short > Matrix short specialisation gslmm::matrix< unsigned char > Matrix unsigned char specialisation gslmm::matrix< unsigned int > Matrix unsigned int specialisation gslmm::matrix< unsigned long > Matrix unsigned long specialisation gslmm::matrix< unsigned short > Matrix unsigned short specialisation gslmm::matrix_manip< T > Manipulator of matrixes gslmm::modified_givens_rotation< Type > Compute and apply a modified Givens rotation gslmm::modified_givens_rotation< double > Compute and apply a modified Givens rotation gslmm::modified_givens_rotation< float > Compute and apply a modified Givens rotation gslmm::multinomial Multinomial distribution interface class gslmm::negative_binomial Negative binomial distribution interface class gslmm::ntuple< Data, Size > An N-tuple class optionmm::option_base Base class for options optionmm::option_trait< Type > Trait to help do conversions optionmm::option_trait< std::string > Specialisation of the default option trait for std::string gslmm::pareto Pareto distribution interface class gslmm::pascal Pascal distribution interface class gslmm::permutation Permutation representation gslmm::poisson Poisson distribution interface class gslmm::polynomial< Value > A polynomial in 1 dimension gslmm::polynomial< double > A polynomial in 1 dimension gslmm::polynomial< double >::workspace Class to hold a workspace for root-finding qr_decomposition Basic template for QR decompositions of matricies gslmm::qr_decomposition< double > Class template specialisation for QR decompositions of matricies of type double qr_decomposition_pivot Basic template for QR decompositions with pivot of matricies gslmm::qr_decomposition_pivot< double > Class template specialisation for QR decompositions with column pivoting of matricies of type double gslmm::quasi_generator Random number generator interface class gslmm::rayleigh Rayleigh distribution interface class gslmm::rayleigh_tail Rayleigh Tail distribution interface class gslmm::single_thread_lock A locking policy useful for singlethreaded applications sv_decomposition Basic template for SV decompositions of matricies gslmm::sv_decomposition< double > Class template specialisation for Singular Value decompositions of matricies of type double gslmm::taylor_expansion< Value > Representation of a tayler expansion - base template gslmm::taylor_expansion< double > Representation of a tayler expansion - double specialisation gslmm::taylor_expansion< double >::workspace Workspace class for conversion from divide_difference representation gslmm::tdist T distribution interface class gslmm::test_suite Utility class to use in test suits gslmm::type_trait< Type > Type constants - basic template gslmm::type_trait< char > Type constants for char gslmm::type_trait< complex< T > > Type trait of complex<T> numbers gslmm::type_trait< double > Type constants for double gslmm::type_trait< float > Type constants for float gslmm::type_trait< int > Type constants for int gslmm::type_trait< long > Type constants for long gslmm::type_trait< long double > Type constants for long double gslmm::type_trait< short > Type constants for short gslmm::type_trait< unsigned char > Type constants for unsigned char gslmm::type_trait< unsigned int > Type constants for unsigned int gslmm::type_trait< unsigned long > Type constants for unsigned long gslmm::type_trait< unsigned short > Type constants for unsigned short vector Vector class (base template) gslmm::vector< char > Vector char specialisation gslmm::vector< complex< double > > Vector complex<double> specialisation gslmm::vector< double > Vector double specialisation gslmm::vector< float > Vector float specialisation gslmm::vector< int > Vector int specialisation gslmm::vector< long > Vector long specialisation gslmm::vector< long double > Vector long double specialisation gslmm::vector< short > Vector short specialisation gslmm::vector< unsigned char > Vector unsigned char specialisation gslmm::vector< unsigned int > Vector unsigned int specialisation gslmm::vector< unsigned long > Vector unsigned long specialisation gslmm::vector< unsigned short > Vector unsigned short specialisation gslmm::weibull Weibull distribution interface class gslmm::weighted_dataset< T > Class template for statistics on numbers gslmm::weighted_dataset< double > Class template specialisation for double This class template specialisation represents a data set where each entry is of type double and has a weight gslmm::weighted_dataset< float > Class template specialisation for float This class template specialisation represents a data set where each entry is of type float and has a weight gslmm::weighted_dataset< long double > Class template specialisation for long double This class template specialisation represents a data set where each entry is of type long double and has a weight