Co2scl_acol::acol_manager | The driver for 'acol' command-line utility |
Co2scl::astep_base< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | Adaptive stepper [abstract base] |
►Co2scl::astep_base< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct > | |
Co2scl::astep_gsl< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct > | |
Co2scl::astep_gsl< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | Adaptive ODE stepper (GSL) |
Co2scl::astep_nonadapt< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | An non-adaptive stepper implementation of astep_base |
►Co2scl::astep_base< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct<> > | |
Co2scl::astep_gsl< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct<> > | |
►Co2scl::astep_base< solve_grid_mat_row, solve_grid_mat_row, solve_grid_mat_row, ode_funct_solve_grid > | |
Co2scl::astep_gsl< solve_grid_mat_row, solve_grid_mat_row, solve_grid_mat_row, ode_funct_solve_grid > | |
►Co2scl::astep_base< ubvector, ubvector, ubvector, ode_funct<> > | |
Co2scl::astep_gsl< ubvector, ubvector, ubvector, ode_funct<> > | |
Co2scl::inte_pcubature< func_t, vec_t, vec_crange_t, vec_range_t >::cache | Cache of the values for the m[dim] grid.
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Co2scl::calculator | Evaluate a mathematical expression in a string |
Co2scl::cheb_approx_tl< fp_t > | Chebyshev approximation (GSL) |
►Co2scl::cli | Configurable command-line interface |
Co2scl::cli_readline | An extension to o2scl::cli which uses readline |
Co2scl_hdf::cloud_file | Read a file and download from a URL if necessary |
Co2scl::cmd_line_arg | A command-line argument for o2scl::cli |
Co2scl::table< vec_t >::col | Column structure for table [protected] |
Co2scl::columnify | Create nicely formatted columns from a table of strings |
►Co2scl::comm_option_funct | Base for o2scl::cli command function |
Co2scl::comm_option_mfptr< o2scl_acol::acol_manager > | |
Co2scl::comm_option_fptr | Function pointer for o2scl::cli command function |
Co2scl::comm_option_mfptr< tclass > | Member function pointer for o2scl::cli command function |
Co2scl::comm_option_s | Command for interactive mode in o2scl::cli |
Co2scl::const_matrix_column_gen< mat_t > | Generic object which represents a column of a const matrix |
Co2scl::const_matrix_row_gen< mat_t > | Generic object which represents a row of a const matrix |
►Co2scl::const_matrix_view | A simple matrix view object |
Co2scl::const_matrix_view_table<> | |
Co2scl::const_matrix_view_table< vec_t > | View a o2scl::table object as a matrix |
Co2scl::const_matrix_view_table_transpose< vec_t > | View a o2scl::table object as a matrix |
Co2scl::const_vector_range_gen< vec_t > | Experimental const vector range object |
Co2scl::contour | Calculate contour lines from a two-dimensional data set |
Co2scl::contour_line | A contour line |
Co2scl::convert_units< fp_t > | Convert units |
Co2scl::convert_units< double > | |
►Co2scl::cubic_real | Solve a cubic polynomial with real coefficients and real roots [abstract base] |
►Co2scl::cubic_real_coeff | Solve a cubic polynomial with real coefficients and complex roots [abstract base] |
►Co2scl::cubic_complex | Solve a cubic polynomial with complex coefficients and complex roots [abstract base] |
Co2scl::cubic_complex_std | Solve a cubic with complex coefficients and complex roots |
Co2scl::poly_complex | Solve a general polynomial with complex coefficients [abstract base] |
Co2scl::cubic_real_coeff_cern | Solve a cubic with real coefficients and complex roots (CERNLIB) |
Co2scl::cubic_real_coeff_gsl | Solve a cubic with real coefficients and complex roots (GSL) |
►Co2scl::poly_real_coeff | Solve a general polynomial with real coefficients and complex roots [abstract base] |
Co2scl::poly_real_coeff_gsl | Solve a general polynomial with real coefficients (GSL) |
Co2scl::deriv_base< func_t, fp_t > | Numerical differentiation base [abstract base] |
►Co2scl::deriv_base< funct > | |
Co2scl::deriv_cern< func_t > | Numerical differentiation routine (CERNLIB) |
Co2scl::deriv_eqi< func_t, vec_t > | Derivatives for equally-spaced abscissas |
►Co2scl::deriv_base< funct, double > | |
Co2scl::deriv_gsl< func_t, fp_t > | Numerical differentiation (GSL) |
Co2scl::deriv_base< func_t, fp_t >::dpars | A structure for passing the function to second and third derivatives [protected] |
Co2scl::edge_crossings | Edges for the contour class |
Co2scl::jacobian_exact< func_t, vec_t, mat_t >::ej_parms | Parameter structure for passing information |
►Co2scl::err_hnd_type | Class defining an error handler [abstract base] |
►Co2scl::err_hnd_gsl | The error handler |
Co2scl::err_hnd_cpp | Error handler to throw C++ exceptions |
Co2scl::inte_hcubature< func_t >::esterr | A value and error |
►Cexception | |
Co2scl::exc_exception | Generic exception |
►Co2scl::expval_base | Expectation value base class |
Co2scl::expval_matrix | Matrix expectation value |
Co2scl::expval_scalar | Scalar expectation value |
Co2scl::expval_vector | Vector expectation value |
Co2scl::inte_singular_gsl< func_t >::extrapolation_table | A structure for extrapolation for o2scl::inte_qags_gsl |
►Cfailure | |
Co2scl::exc_ios_failure | I/O failure error exception |
Co2scl::fermi_dirac_integ_tl< inte_t, fp_t > | Fermi-Dirac integral |
Co2scl::fermion_nr_integ_gsl | Compute the fermion integrals for a non-relativistic particle using the GSL functions |
Co2scl::fit_base< func_t, vec_t, mat_t > | Non-linear least-squares fitting [abstract base] |
►Co2scl::fit_base< fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_nonlin< fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
►Co2scl::fit_base< gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_fix_pars< bool_vec_t, func_t, vec_t, mat_t > | Multidimensional fitting class fixing some parameters and varying others |
Co2scl::fit_min< func_t, vec_t, mat_t > | Non-linear least-squares fitting class with generic minimizer |
Co2scl::fit_nonlin< func_t, vec_t, mat_t > | Non-linear least-squares fitting class (GSL) |
Co2scl::fit_bayes< fit_func_t, multi_func_t, vec_t > | Fit a function to data using Bayesian methods |
Co2scl::fit_funct_strings | String fitting function |
Co2scl::fit_linear< vec_t, mat_t > | Linear least-squares fitting class (GSL) |
Co2scl::fit_nonlin_b< vec_t, mat_t > | Base routines for the nonlinear fitting classes |
►Co2scl::fit_nonlin_b< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_nonlin< fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_min< func_t, vec_t, mat_t > | Non-linear least-squares fitting class with generic minimizer |
Co2scl::fit_nonlin< func_t, vec_t, mat_t > | Non-linear least-squares fitting class (GSL) |
Co2scl::format_float | Format a floating point number into a Latex or HTML string |
Co2scl::funct2_string | Two-dimensional function from a string |
Co2scl::funct_string | One-dimensional function from a string |
Co2scl::gen_fit_funct< vec_t, mat_t > | Generalized fitting function [abstract base] |
►Co2scl::gen_fit_funct< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::fit_fix_pars< bool_vec_t, gen_fit_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::chi_fit_funct< vec_t, mat_t, fit_func_t > | Standard fitting function based on one-dimensional data with a numerical Jacobian |
Co2scl::fit_fix_pars< bool_vec_t, func_t, vec_t, mat_t > | Multidimensional fitting class fixing some parameters and varying others |
Co2scl::gen_fit_funct<> | |
Co2scl::gen_test_number< tot > | Generate number sequence for testing |
►Co2scl::gradient< func_t, vec_t > | Class for automatically computing gradients [abstract base] |
Co2scl::gradient_gsl< func_t, vec_t > | Simple automatic computation of gradient by finite differencing |
►Co2scl::gradient< multi_funct, boost::numeric::ublas::vector< double > > | |
Co2scl::gradient_gsl< multi_funct, boost::numeric::ublas::vector< double > > | |
►Cgsl_function | |
Co2scl::funct_gsl | A wrapper to specify o2scl::funct objects to GSL |
Co2scl::gsl_matrix_wrap | A simple convenience wrapper for GSL matrix objects |
►Cgsl_rng | |
Co2scl::rng_gsl | Random number generator (GSL) |
Co2scl::gsl_tolerance< T > | Convergence test similar to gsl_root_test_interval() for root_toms748 |
Co2scl::gsl_vector_wrap | A simple convenience wrapper for GSL vector objects |
Co2scl_hdf::hdf_file | Store data in an O2scl compatible HDF5 file |
Co2scl::inte_hcubature< func_t >::heap | Desc |
Co2scl::hist | A one-dimensional histogram class |
Co2scl::hist_2d | A two-dimensional histogram class |
Co2scl::prob_dens_mdim_amr< vec_t, mat_t >::hypercube | A hypercube class for o2scl::prob_dens_mdim_amr |
Co2scl::inte_hcubature< func_t >::hypercube | Desc |
Co2scl::index_spec | Index specification |
Co2scl::inte< func_t, fp_t > | Base integration class [abstract base] |
►Co2scl::inte< func_t > | |
►Co2scl::inte_kronrod_gsl< func_t > | Basic Gauss-Kronrod integration class (GSL) |
Co2scl::inte_singular_gsl< func_t > | Base class for integrating a function with a singularity (GSL) |
►Co2scl::inte< func_t, double > | |
Co2scl::inte_gauss_cern< func_t, double > | |
Co2scl::inte_cauchy_cern< func_t, fp_t, weights_t > | Cauchy principal value integration (CERNLIB) |
►Co2scl::inte< funct > | |
►Co2scl::inte_kronrod_gsl< funct > | |
►Co2scl::inte_singular_gsl< funct > | |
►Co2scl::inte_transform_gsl< funct > | |
►Co2scl::inte_cheb_gsl< funct > | |
Co2scl::inte_qaws_gsl< func_t > | Adaptive integration with with algebraic-logarithmic singularities at the end-points (GSL) |
Co2scl::inte_qagi_gsl< func_t > | Integrate a function over the interval (GSL) |
Co2scl::inte_qagil_gsl< func_t > | Integrate a function over the interval (GSL) |
Co2scl::inte_qagiu_gsl< func_t > | Integrate a function over the interval (GSL) |
Co2scl::inte_qags_gsl< func_t > | Integrate a function with a singularity (GSL) |
►Co2scl::inte_transform_gsl< func_t > | Integrate a function with a singularity (GSL) [abstract base] |
►Co2scl::inte_cheb_gsl< func_t > | Chebyshev integration base class (GSL) |
Co2scl::inte_qawc_gsl< func_t > | Adaptive Cauchy principal value integration (GSL) |
►Co2scl::inte_qawo_gsl_sin< func_t > | Adaptive integration for oscillatory integrals (GSL) |
►Co2scl::inte_qawf_gsl_sin< func_t > | Adaptive integration for oscillatory integrals (GSL) |
Co2scl::inte_qawf_gsl_cos< func_t > | Adaptive integration a function with finite limits of integration (GSL) |
Co2scl::inte_qawo_gsl_cos< func_t > | Adaptive integration a function with finite limits of integration (GSL) |
Co2scl::inte_qag_gsl< func_t > | Adaptive numerical integration of a function (without singularities) on a bounded interval (GSL) |
Co2scl::inte_qng_gsl< func_t > | Non-adaptive integration from a to b (GSL) |
►Co2scl::inte< funct, double > | |
Co2scl::inte_gauss56_cern< funct, double, inte_gauss56_coeffs_double > | |
Co2scl::inte_adapt_cern< func_t, def_inte_t, nsub, fp_t > | Adaptive integration (CERNLIB) |
Co2scl::inte_exp_sinh_boost< func_t, max_refine, fp_t > | Exp-sinh integration class (Boost) |
Co2scl::inte_gauss56_cern< func_t, fp_t, weights_t > | 5,6-point Gaussian quadrature (CERNLIB) |
Co2scl::inte_gauss_cern< func_t, fp_t, weights_t > | Gaussian quadrature (CERNLIB) |
Co2scl::inte_kronrod_boost< func_t, rule, fp_t > | Gauss-Kronrod integration class (Boost) |
Co2scl::inte_tanh_sinh_boost< func_t, max_refine, fp_t > | Tanh-sinh integration class (Boost) |
Co2scl::inte< internal_funct, double > | |
►Co2scl::inte_cubature_base | Base class for integration routines from the Cubature library |
Co2scl::inte_hcubature< func_t > | Adaptive multidimensional integration on hyper-rectangles using cubature rules from the Cubature library |
Co2scl::inte_pcubature< func_t, vec_t, vec_crange_t, vec_range_t > | Integration by p-adaptive cubature from the Cubature library |
Co2scl::inte_gauss56_coeffs_cpp_dec_float_50 | Integration weights and abcissas for o2scl::inte_gauss56_cern in long double precision |
Co2scl::inte_gauss56_coeffs_double | Integration weights and abcissas for o2scl::inte_gauss56_cern in double precision |
Co2scl::inte_gauss56_coeffs_long_double | Integration weights and abcissas for o2scl::inte_gauss56_cern in long double precision |
Co2scl::inte_gauss_coeffs_cpp_dec_float_50 | Integration weights and abcissas for o2scl::inte_gauss_cern and o2scl::inte_cauchy_cern for the cpp_dec_float_50 type |
Co2scl::inte_gauss_coeffs_double | Integration weights and abcissas for o2scl::inte_gauss_cern and o2scl::inte_cauchy_cern in double precision |
Co2scl::inte_gauss_coeffs_long_double | Integration weights and abcissas for o2scl::inte_gauss_cern and o2scl::inte_cauchy_cern in long double precision |
Co2scl::inte_gen< func_t, lfunc_t, ufunc_t, vec_t > | Generalized multi-dimensional integration [abstract base] |
►Co2scl::inte_gsl | GSL integration base |
Co2scl::inte_kronrod_gsl< funct > | |
Co2scl::inte_kronrod_gsl< func_t > | Basic Gauss-Kronrod integration class (GSL) |
Co2scl::inte_qng_gsl< func_t > | Non-adaptive integration from a to b (GSL) |
Co2scl::inte_il< func_t, def_inte_t, fp_t > | Integrate over |
Co2scl::inte_iu< func_t, def_inte_t, fp_t > | Integrate over |
Co2scl::inte_multi< func_t, vec_t > | Multi-dimensional integration over a hypercube [abstract base] |
►Co2scl::inte_multi< multi_funct, boost::numeric::ublas::vector< double > > | |
►Co2scl::mcarlo< multi_funct, boost::numeric::ublas::vector< double >, rng_gsl > | |
Co2scl::mcarlo_miser< func_t, vec_t, rng_t > | Multidimensional integration using the MISER Monte Carlo algorithm (GSL) |
Co2scl::mcarlo_plain< func_t, vec_t, rng_t > | Multidimensional integration using plain Monte Carlo (GSL) |
Co2scl::mcarlo_vegas< func_t, vec_t, rng_t > | Multidimensional integration using Vegas Monte Carlo (GSL) |
Co2scl::mcarlo< func_t, vec_t, rng_t > | Monte-Carlo integration [abstract base] |
Co2scl::inte_sinh_sinh_boost< func_t, max_refine, fp_t > | Sinh-sinh integration class (Boost) |
Co2scl::inte_workspace_gsl | Integration workspace for the GSL integrators |
Co2scl::interp< vec_t, vec2_t > | Interpolation class for general vectors |
Co2scl::interp2_base< vec_t, mat_t > | Two-dimensional interpolation base class [abstract] |
►Co2scl::interp2_base< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::interp2_direct< vec_t, mat_t, mat_row_t, mat_column_t > | Bilinear or bicubic two-dimensional interpolation |
Co2scl::interp2_seq< vec_t, mat_t, mat_row_t > | Two-dimensional interpolation class by successive one-dimensional interpolation |
Co2scl::interp2_eqi | Two-dimensional interpolation for equally-spaced intervals |
Co2scl::interp2_neigh< vec_t > | Nearest-neighbor interpolation in two dimensions |
Co2scl::interp2_planar< vec_t > | Interpolate among two independent variables with planes |
►Co2scl::interp< double[n]> | |
Co2scl::interp_array< n > | A specialization of interp for C-style double arrays |
Co2scl::interp_base< vec_t, vec2_t > | Base low-level interpolation class [abstract base] |
►Co2scl::interp_base< arr_t, arr_t > | |
►Co2scl::interp_vec< arr_t > | |
Co2scl::interp_array_vec< arr_t > | A specialization of o2scl::interp_vec for C-style arrays |
►Co2scl::interp_base< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double > > | |
Co2scl::interp_vec< vec_t, vec2_t > | Interpolation class for pre-specified vector |
Co2scl::interp_base< double, double > | |
►Co2scl::interp_base< std::vector< double >, std::vector< double > > | |
Co2scl::interp_vec< std::vector< double > > | |
►Co2scl::interp_base< vec_t, vec_t > | |
►Co2scl::interp_akima< vec_t, vec_t > | |
Co2scl::interp_akima_peri< vec_t, vec2_t > | Akima spline interpolation with periodic
boundary conditions (GSL) |
►Co2scl::interp_cspline< vec_t, vec_t > | |
Co2scl::interp_cspline_peri< vec_t, vec2_t > | Cubic spline interpolation with periodic boundary conditions (GSL) |
►Co2scl::interp_krige< vec_t, vec_t > | |
Co2scl::interp_krige_optim< vec_t, vec2_t > | One-dimensional interpolation using an optimized covariance function |
Co2scl::interp_akima< vec_t, vec2_t > | Akima spline interpolation (GSL) |
Co2scl::interp_cspline< vec_t, vec2_t > | Cubic spline interpolation (GSL) |
Co2scl::interp_krige< vec_t, vec2_t, covar_func_t, covar_integ_t > | Interpolation by Kriging with a user-specified covariance function |
Co2scl::interp_linear< vec_t, vec2_t > | Linear interpolation (GSL) |
Co2scl::interp_monotonic< vec_t, vec2_t > | Monotonicity-preserving interpolation |
Co2scl::interp_nearest_neigh< vec_t, vec2_t > | Nearest-neighbor interpolation |
Co2scl::interp_steffen< vec_t, vec2_t > | Steffen's monotonicity-preserving interpolation |
Co2scl::interpm_idw< mat_t > | Multi-dimensional interpolation by inverse distance weighting |
Co2scl::interpm_krige< vec_t, mat_t, mat_row_t > | Multi-dimensional interpolation by kriging |
►Co2scl::interpm_krige< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double > > | |
Co2scl::interpm_krige_nn< vec_t, mat_t > | Multi-dimensional interpolation by kriging with nearest-neighbor |
►Co2scl::interpm_krige< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix_row< boost::numeric::ublas::vector< double > > > | |
Co2scl::interpm_krige_optim< vec_t, mat_t, mat_row_t > | One-dimensional interpolation using an optimized covariance function |
►Cinvalid_argument | |
Co2scl::exc_invalid_argument | Invalid argument exception |
Co2scl_hdf::hdf_file::iterate_parms | Parameters for iterate_func() |
Co2scl::jacobian< func_t, vec_t, mat_t > | Base for providing a numerical jacobian [abstract base] |
►Co2scl::jacobian< mm_funct, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::jacobian_gsl< mm_funct, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::jacobian_exact< func_t, vec_t, mat_t > | A direct calculation of the jacobian using a deriv_base object |
Co2scl::jacobian_gsl< func_t, vec_t, mat_t > | Simple automatic Jacobian |
►Co2scl::jacobian< std::function< int(size_t, const boost::numeric::ublas::vector< double > &, boost::numeric::ublas::vector< double > &)>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::jacobian_gsl< std::function< int(size_t, const boost::numeric::ublas::vector< double > &, boost::numeric::ublas::vector< double > &)>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl_linalg::lanczos< vec_t, mat_t > | Lanczos diagonalization |
Co2scl::lib_settings_class | A class to manage global library settings |
Co2scl::pinside::line | Internal line definition for pinside |
Co2scl_linalg::linear_solver< vec_t, mat_t > | A generic solver for the linear system [abstract base] |
►Co2scl_linalg::linear_solver< arma_vec_t, arma_mat_t > | |
Co2scl_linalg::linear_solver_arma< arma_vec_t, arma_mat_t > | Armadillo linear solver |
►Co2scl_linalg::linear_solver< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl_linalg::linear_solver_HH< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl_linalg::linear_solver_HH< vec_t, mat_t > | Generic Householder linear solver |
Co2scl_linalg::linear_solver_LU< vec_t, mat_t > | Generic linear solver using LU decomposition |
Co2scl_linalg::linear_solver_QR< vec_t, mat_t > | Generic linear solver using QR decomposition |
►Co2scl_linalg::linear_solver< eigen_vec_t, eigen_mat_t > | |
Co2scl_linalg::linear_solver_eigen_colQR< eigen_vec_t, eigen_mat_t > | Eigen linear solver using QR decomposition with column pivoting |
Co2scl_linalg::linear_solver_eigen_fullLU< eigen_vec_t, eigen_mat_t > | Eigen linear solver using LU decomposition with full pivoting |
Co2scl_linalg::linear_solver_eigen_fullQR< eigen_vec_t, eigen_mat_t > | Eigen linear solver using QR decomposition with full pivoting |
Co2scl_linalg::linear_solver_eigen_houseQR< eigen_vec_t, eigen_mat_t > | Eigen linear solver using QR decomposition with column pivoting |
Co2scl_linalg::linear_solver_eigen_LDLT< eigen_vec_t, eigen_mat_t > | Eigen linear solver using LDLT decomposition with full pivoting |
Co2scl_linalg::linear_solver_eigen_LLT< eigen_vec_t, eigen_mat_t > | Eigen linear solver using LLT decomposition with full pivoting |
Co2scl_linalg::linear_solver_eigen_partLU< eigen_vec_t, eigen_mat_t > | Eigen linear solver using LU decomposition with partial pivoting |
►Clogic_error | |
Co2scl::exc_logic_error | Logic error exception |
Cboost::numeric::ublas::matrix< T, F, A > | The default matrix type from uBlas |
Cboost::numeric::ublas::matrix< double > | |
Cboost::numeric::ublas::matrix< int > | |
Co2scl::matrix_column_gen< mat_t > | Generic object which represents a column of a matrix |
Co2scl::matrix_row_gen< mat_t > | Generic object which represents a row of a matrix |
Co2scl::matrix_row_gen_ctor< mat_t > | Matrix row object with a constructor and resize method |
►Co2scl::matrix_view | A simple matrix view object |
Co2scl::matrix_swap_table | Swap part of a o2scl::table object into a matrix |
Co2scl::matrix_view_vec_vec< vec1_t, vec2_t > | View a o2scl::table object as a matrix |
Co2scl::matrix_view_omit_column< mat_t > | Construct a view of a matrix omitting one specified column |
Co2scl::matrix_view_omit_row< mat_t > | Construct a view of a matrix omtting a specified row |
Co2scl::matrix_view_table< vec_t > | View a o2scl::table object as a matrix |
Co2scl::matrix_view_table_transpose< vec_t > | View a o2scl::table object as a matrix |
Co2scl::matrix_view_transpose< mat_t > | Construct a view of the transpose of a matrix |
Co2scl::mcmc_para_base< func_t, measure_t, data_t, vec_t > | A generic MCMC simulation class |
►Co2scl::mcmc_para_base< func_t, std::function< int(const ubvector &, double, size_t, int, bool, data_t &)>, data_t, ubvector > | |
►Co2scl::mcmc_para_table< func_t, fill_t, data_t, ubvector > | |
Co2scl::mcmc_para_cli< func_t, fill_t, data_t, vec_t > | MCMC class with a command-line interface |
Co2scl::mcmc_para_table< func_t, fill_t, data_t, vec_t > | A generic MCMC simulation class writing data to a o2scl::table_units object |
Co2scl::mcmc_para_old_base< func_t, measure_t, data_t, vec_t > | A generic MCMC simulation class |
►Co2scl::mcmc_para_old_base< func_t, std::function< int(const ubvector &, double, size_t, int, bool, data_t &)>, data_t, ubvector > | |
►Co2scl::mcmc_para_old_table< func_t, fill_t, data_t, ubvector > | |
Co2scl::mcmc_para_old_cli< func_t, fill_t, data_t, vec_t > | MCMC class with a command-line interface |
Co2scl::mcmc_para_old_table< func_t, fill_t, data_t, vec_t > | A generic MCMC simulation class writing data to a o2scl::table_units object |
Co2scl::min_base< func_t, dfunc_t > | One-dimensional minimization [abstract base] |
►Co2scl::min_base< func_t, func_t > | |
Co2scl::min_bkt_base< func_t, dfunc_t > | One-dimensional bracketing minimization [abstract base] |
Co2scl::min_de_base< func_t, dfunc_t > | One-dimensional minimization using derivatives [abstract base] |
►Co2scl::min_base< funct, funct > | |
►Co2scl::min_bkt_base< funct > | |
Co2scl::min_brent_boost< func_t > | One-dimensional minimization using Brent's method (GSL) |
Co2scl::min_brent_gsl< func_t > | One-dimensional minimization using Brent's method (GSL) |
Co2scl::min_cern< func_t > | One-dimensional minimization (CERNLIB) |
Co2scl::min_quad_golden< func_t > | Minimization of a function using the safeguarded step-length algorithm of Gill and Murray [GSL] |
Co2scl::mm_funct_strings | Array of multi-dimensional functions in an array of strings |
Co2scl::mmin_base< func_t, dfunc_t, vec_t > | Multidimensional minimization [abstract base] |
►Co2scl::mmin_base< func_t, func_t, boost::numeric::ublas::vector< double > > | |
Co2scl::mmin_constr< func_t, dfunc_t, hfunc_t, vec_t > | Constrained multidimensional minimization (OOL) [abstract base] |
►Co2scl::mmin_base< mmin_fix_params< multi_funct, boost::numeric::ublas::vector< double > >, mmin_fix_params< multi_funct, boost::numeric::ublas::vector< double > >, boost::numeric::ublas::vector< double > > | |
Co2scl::mmin_simp2< mmin_fix_params< multi_funct, boost::numeric::ublas::vector< double > >, boost::numeric::ublas::vector< double > > | |
Co2scl::mmin_base< multi_funct > | |
►Co2scl::mmin_base< multi_funct, grad_funct, boost::numeric::ublas::vector< double > > | |
►Co2scl::mmin_constr< multi_funct, grad_funct, ool_hfunct, boost::numeric::ublas::vector< double > > | |
Co2scl::mmin_constr_pgrad< func_t, dfunc_t, vec_t > | Constrained minimization by the projected gradient method (OOL) |
Co2scl::mmin_constr_spg< func_t, dfunc_t, vec_t > | Constrained minimization by the spectral projected gradient method (OOL) |
►Co2scl::mmin_base< multi_funct, multi_funct, boost::numeric::ublas::vector< double > > | |
►Co2scl::anneal_base< multi_funct, boost::numeric::ublas::vector< double >, int, rng_gsl > | |
Co2scl::anneal_mt< func_t, vec_t, rng_t, rng_dist_t > | Multidimensional minimization by simulated annealing (Boost multi-threaded version) |
►Co2scl::anneal_base< multi_funct, boost::numeric::ublas::vector< double >, rng_gsl > | |
►Co2scl::anneal_gsl< multi_funct, boost::numeric::ublas::vector< double > > | |
Co2scl::anneal_para< func_t, vec_t > | Multidimensional minimization by simulated annealing (OpenMP/MPI version) |
Co2scl::anneal_gsl< func_t, vec_t, rng_t > | Multidimensional minimization by simulated annealing (GSL) |
►Co2scl::diff_evo< multi_funct, boost::numeric::ublas::vector< double >, mm_funct > | |
Co2scl::diff_evo_adapt< func_t, vec_t, init_funct_t > | Multidimensional minimization by the differential evolution method |
Co2scl::mmin_fix_params< multi_funct, boost::numeric::ublas::vector< double > > | |
►Co2scl::mmin_gsl_base< multi_funct, boost::numeric::ublas::vector< double >, grad_funct, gradient< multi_funct, boost::numeric::ublas::vector< double > >, gradient_gsl< multi_funct, boost::numeric::ublas::vector< double > > > | |
►Co2scl::mmin_conf< multi_funct, boost::numeric::ublas::vector< double >, grad_funct, gradient< multi_funct, boost::numeric::ublas::vector< double > >, gradient_gsl< multi_funct, boost::numeric::ublas::vector< double > > > | |
Co2scl::mmin_conp< func_t, vec_t, dfunc_t, auto_grad_t, def_auto_grad_t > | Multidimensional minimization by the Polak-Ribiere conjugate gradient algorithm (GSL) |
Co2scl::mmin_conf< func_t, vec_t, dfunc_t, auto_grad_t, def_auto_grad_t > | Multidimensional minimization by the Fletcher-Reeves conjugate gradient algorithm (GSL) |
Co2scl::mmin_simp2< multi_funct > | |
Co2scl::anneal_base< func_t, vec_t, rng_t > | Simulated annealing base |
Co2scl::diff_evo< func_t, vec_t, init_funct_t > | Multidimensional minimization by the differential evolution method |
Co2scl::mmin_bfgs2< func_t, vec_t, dfunc_t, auto_grad_t, def_auto_grad_t > | Multidimensional minimization by the BFGS algorithm (GSL) |
Co2scl::mmin_fix_params< func_t, vec_t > | Multidimensional minimizer fixing some parameters and varying others |
Co2scl::mmin_gsl_base< func_t, vec_t, dfunc_t, auto_grad_t, def_auto_grad_t > | Base minimization routines for mmin_conf and mmin_conp |
Co2scl::mmin_simp2< func_t, vec_t > | Multidimensional minimization by the Simplex method (v2) (GSL) |
Co2scl::mmin_linmin_gsl | The line minimizer for mmin_bfgs2 |
►Co2scl::mmin_wrap_gsl | Virtual base for the mmin_bfgs2 wrapper |
Co2scl::mmin_wrapper_gsl< multi_funct, boost::numeric::ublas::vector< double >, grad_funct, gradient< multi_funct, boost::numeric::ublas::vector< double > > > | |
Co2scl::mmin_wrapper_gsl< func_t, vec_t, dfunc_t, auto_grad_t > | Wrapper class for the mmin_bfgs2 minimizer |
Co2scl::mroot< func_t, vec_t, jfunc_t > | Multidimensional root-finding [abstract base] |
►Co2scl::mroot< mm_funct, boost::numeric::ublas::vector< double >, jac_funct > | |
Co2scl::mroot_broyden< func_t, vec_t, mat_t, jfunc_t > | Multidimensional root-finding using Broyden's method (GSL) |
Co2scl::mroot_cern< func_t, vec_t, jfunc_t > | Multi-dimensional mroot-finding routine (CERNLIB) |
►Co2scl::mroot_hybrids< func_t, vec_t, mat_t, jfunc_t > | Multidimensional root-finding algorithm using Powell's Hybrid method (GSL) |
Co2scl::mroot_hybrids_arma_qr_econ< func_t, vec_t, mat_t, jfunc_t > | A version of mroot_hybrids which uses Armadillo for the QR decomposition |
Co2scl::mroot_hybrids_eigen< func_t, vec_t, mat_t, jfunc_t > | A version of mroot_hybrids which uses Eigen for the QR decomposition |
Co2scl::mroot< mm_funct<> > | |
►Co2scl::mroot_hybrids_base | Base functions for mroot_hybrids |
Co2scl::mroot_hybrids< func_t, vec_t, mat_t, jfunc_t > | Multidimensional root-finding algorithm using Powell's Hybrid method (GSL) |
Co2scl::multi_funct_strings | A multi-dimensional function from a string |
Co2scl::ode_bsimp_gsl< func_t, jac_func_t, vec_t, mat_t > | Bulirsch-Stoer implicit ODE stepper (GSL) |
Co2scl::ode_bv_multishoot< func_t, vec_t, alloc_vec_t, alloc_t, vec_int_t, mat_t > | Solve a ODE boundary value problem by multishooting |
►Co2scl::ode_bv_solve | Base class for boundary-value ODE solvers |
Co2scl::ode_bv_mshoot< func_t, mat_t, vec_t, vec_int_t > | Solve boundary-value ODE problems by multishooting with a generic nonlinear solver |
Co2scl::ode_bv_shoot< func_t, vec_t, vec_int_t > | Solve boundary-value ODE problems by shooting from one boundary to the other |
►Co2scl::ode_bv_shoot< ode_funct<>, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< int > > | |
Co2scl::ode_bv_shoot_grid< mat_t, mat_row_t, func_t, vec_t, vec_int_t > | Solve boundary-value ODE problems by shooting from one boundary to the other on a grid |
Co2scl::ode_control_gsl< vec_y_t, vec_dydx_t, vec_yerr_t > | Control structure for astep_gsl |
Co2scl::ode_control_gsl< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double > > | |
Co2scl::ode_control_gsl< solve_grid_mat_row, solve_grid_mat_row, solve_grid_mat_row > | |
Co2scl::ode_control_gsl< ubvector, ubvector, ubvector > | |
Co2scl::ode_funct_strings | One-dimensional function from strings |
Co2scl::ode_it_solve< func_t, vec_t, mat_t, matrix_row_t, solver_vec_t, solver_mat_t > | ODE solver using a generic linear solver to solve finite-difference equations |
Co2scl::ode_iv_solve< func_t, vec_t > | Solve an initial-value ODE problems given an adaptive ODE stepper |
Co2scl::ode_iv_solve< ode_funct, boost::numeric::ublas::vector< double > > | |
Co2scl::ode_iv_solve< ode_funct<>, boost::numeric::ublas::vector< double > > | |
►Co2scl::ode_iv_solve< ode_funct<>, ubvector, ubvector, ubvector_alloc > | |
Co2scl::ode_iv_table< func_t, vec_t, alloc_vec_t, alloc_t > | Solve an initial-value ODE problem and store the result in a table object |
Co2scl::ode_iv_solve_grid< func_t, mat_row_t > | Solve an initial-value ODE problems on a grid given an adaptive ODE stepper |
Co2scl::ode_step< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | ODE stepper base [abstract base] |
►Co2scl::ode_step< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct > | |
Co2scl::ode_rk8pd_gsl< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | Embedded Runge-Kutta Prince-Dormand ODE stepper (GSL) |
Co2scl::ode_rkck_gsl< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | Cash-Karp embedded Runge-Kutta ODE stepper (GSL) |
Co2scl::ode_rkf45_gsl< vec_y_t, vec_dydx_t, vec_yerr_t, func_t > | Runge-Kutta-Fehlberg embedded Runge-Kutta ODE stepper (GSL) |
Co2scl::ode_rkck_gsl< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct > | |
►Co2scl::ode_step< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct<> > | |
Co2scl::ode_rkck_gsl< boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, boost::numeric::ublas::vector< double >, ode_funct<> > | |
►Co2scl::ode_step< solve_grid_mat_row, solve_grid_mat_row, solve_grid_mat_row, ode_funct_solve_grid > | |
Co2scl::ode_rkck_gsl< solve_grid_mat_row, solve_grid_mat_row, solve_grid_mat_row, ode_funct_solve_grid > | |
►Co2scl::ode_step< ubvector, ubvector, ubvector, ode_funct<> > | |
Co2scl::ode_rkck_gsl< ubvector, ubvector, ubvector, ode_funct<> > | |
►Cool_constr_min | |
Co2scl::mmin_constr_gencan< param_t, func_t, dfunc_t, hfunc_t, vec_t > | Constrained minimization by the "GENCAN" method (OOL) |
►Coverflow_error | |
Co2scl::exc_overflow_error | Overflow error runtime exception |
►Co2scl::cli::parameter | Parameter for o2scl::cli |
Co2scl::cli::parameter_bool | String parameter for o2scl::cli |
Co2scl::cli::parameter_double | Double parameter for o2scl::cli |
Co2scl::cli::parameter_int | Integer parameter for o2scl::cli |
Co2scl::cli::parameter_size_t | Integer parameter for o2scl::cli |
Co2scl::cli::parameter_string | String parameter for o2scl::cli |
Co2scl::permutation | A class for representing permutations |
Co2scl::pinside | Test line intersection and point inside polygon |
Co2scl::pinside::point | Internal point definition for pinside |
Co2scl::polylog | Polylogarithms (approximate) |
Co2scl::prob_cond_mdim< vec_t > | A multi-dimensional conditional probability density function |
►Co2scl::prob_cond_mdim< boost::numeric::ublas::vector< double > > | |
Co2scl::prob_cond_mdim_fixed_step< vec_t > | Conditional probability for a random walk inside a hypercube |
Co2scl::prob_cond_mdim_gaussian< vec_t, mat_t > | A multi-dimensional Gaussian conditional probability density function |
Co2scl::prob_cond_mdim_indep< vec_t > | A multi-dimensional conditional probability density function independent of the input |
►Co2scl::prob_dens_func | A one-dimensional probability density function |
►Co2scl::prob_dens_frange | A one-dimensional probability density over a finite range |
Co2scl::prob_dens_hist | Probability density function based on a histogram |
Co2scl::prob_dens_uniform | A uniform one-dimensional probability density over a finite range |
Co2scl::prob_dens_gaussian | A one-dimensional Gaussian probability density |
►Co2scl::prob_dens_positive | A one-dimensional probability density over the positive real numbers |
Co2scl::prob_dens_lognormal | Lognormal density function |
Co2scl::prob_dens_mdim< vec_t > | A multi-dimensional probability density function |
►Co2scl::prob_dens_mdim< boost::numeric::ublas::vector< double > > | |
Co2scl::prob_dens_mdim_biv_gaussian< vec_t > | A bivariate gaussian probability distribution |
Co2scl::prob_dens_mdim_factor< vec_t > | A multidimensional distribution formed by the product of several one-dimensional distributions |
Co2scl::prob_dens_mdim_gaussian< vec_t, mat_t > | A multi-dimensional Gaussian probability density function using a Cholesky decomposition |
►Co2scl::prob_dens_mdim_gaussian< boost::numeric::ublas::vector< double >, boost::numeric::ublas::matrix< double > > | |
Co2scl::prob_dens_mdim_bound_gaussian< vec_t, mat_t > | Gaussian distribution bounded by a hypercube |
►Co2scl::prob_dens_mdim< std::vector< double > > | |
Co2scl::prob_dens_mdim_amr< vec_t, mat_t > | Probability distribution from an adaptive mesh created using a matrix of points |
►Co2scl::quadratic_real | Solve a quadratic polynomial with real coefficients and real roots [abstract base] |
►Co2scl::quadratic_real_coeff | Solve a quadratic polynomial with real coefficients and complex roots [abstract base] |
Co2scl::poly_real_coeff | Solve a general polynomial with real coefficients and complex roots [abstract base] |
►Co2scl::quadratic_complex | Solve a quadratic polynomial with complex coefficients and complex roots [abstract base] |
Co2scl::poly_complex | Solve a general polynomial with complex coefficients [abstract base] |
Co2scl::quadratic_complex_std | Solve a quadratic with complex coefficients and complex roots |
Co2scl::quadratic_real_coeff_gsl | Solve a quadratic with real coefficients and complex roots (GSL) |
►Co2scl::quartic_real | Solve a quartic polynomial with real coefficients and real roots [abstract base] |
►Co2scl::quartic_real_coeff | Solve a quartic polynomial with real coefficients and complex roots [abstract base] |
Co2scl::poly_real_coeff | Solve a general polynomial with real coefficients and complex roots [abstract base] |
►Co2scl::quartic_complex | Solve a quartic polynomial with complex coefficients and complex roots [abstract base] |
Co2scl::poly_complex | Solve a general polynomial with complex coefficients [abstract base] |
Co2scl::quartic_complex_simple | Solve a quartic with complex coefficients and complex roots |
Co2scl::quartic_real_coeff_cern | Solve a quartic with real coefficients and complex roots (CERNLIB) |
Co2scl::quartic_real_gsl | Solve a quartic with real coefficients and real roots (GSL) |
Co2scl::quartic_real_gsl2 | Solve a quartic with real coefficients and real roots (GSL) |
Co2scl::quartic_real_simple | Solve a quartic with real coefficients and real roots |
►Crange_error | |
Co2scl::exc_range_error | Range error runtime exception |
Co2scl::inte_hcubature< func_t >::region | Desc |
Co2scl::rng_gsl_uniform_real | An alternative RNG type used to design templates for either GSL or STL random number generators |
Co2scl::root< func_t, dfunc_t, fp_t > | One-dimensional solver [abstract base] |
►Co2scl::root< funct > | |
Co2scl::root_cern< func_t > | One-dimensional version of cern_mroot |
►Co2scl::root< funct, funct > | |
Co2scl::root_robbins_monro< func_t, dfunc_t > | One-dimensional root-finding for noisy functions |
►Co2scl::root< funct, funct, double > | |
Co2scl::root_bkt< func_t, dfunc_t, fp_t > | One-dimensional bracketing solver [abstract base] |
Co2scl::root_de< func_t, dfunc_t, fp_t > | One-dimensional with solver with derivatives [abstract base] |
►Co2scl::root_bkt< funct > | |
Co2scl::root_bkt_cern< func_t > | One-dimensional root-finding routine (CERNLIB) |
Co2scl::root_toms748< func_t > | Bracketing solver based the Boost implementation of TOMS 748 |
►Co2scl::root_bkt< funct, funct, double > | |
Co2scl::root_brent_gsl< func_t, fp_t > | One-dimensional root-finding (GSL) |
►Co2scl::root_de< funct, funct > | |
Co2scl::root_stef< func_t, dfunc_t > | Steffenson equation solver (GSL) |
►Co2scl::inte_hcubature< func_t >::rule | Desc |
Co2scl::inte_hcubature< func_t >::rule75genzmalik | Desc |
►Cruntime_error | |
Co2scl::exc_runtime_error | Generic runtime error exception |
Co2scl::search_vec< vec_t > | Searching class for monotonic data with caching |
Co2scl::search_vec< boost::numeric::ublas::vector< double > > | |
Co2scl::search_vec< const arr_t > | |
Co2scl::search_vec< const boost::numeric::ublas::vector< double > > | |
Co2scl::search_vec< const double > | |
Co2scl::search_vec< const std::vector< double > > | |
Co2scl::search_vec< const vec_t > | |
Co2scl::search_vec< vector< double > > | |
Co2scl::search_vec_ext< vec_t > | An extended search_vec which is allowed to return the last element |
Co2scl::series_acc | Series acceleration by Levin u-transform (GSL) |
Co2scl::slack_messenger | Object to send messages to Slack using curl |
Co2scl::smooth_func< vec_t, func_t > | Smooth a function by averaging in a neighborhood of points defined by a Sobol sequence |
Co2scl::smooth_gsl | Smooth a GSL vector using GSL bsplines |
Co2scl::table< vec_t > | Data table class |
Co2scl::table3d | A data structure containing one or more slices of two-dimensional data points defined on a grid |
Co2scl::table_units< vec_t > | Data table class with units |
Co2scl::tensor< data_t, vec_t, vec_size_t > | Tensor class with arbitrary dimensions |
►Co2scl::tensor< double, std::vector< double >, std::vector< size_t > > | |
Co2scl::tensor1< data_t, vec_t, vec_size_t > | Rank 1 tensor |
Co2scl::tensor2< data_t, vec_t, vec_size_t > | Rank 2 tensor |
Co2scl::tensor3< data_t, vec_t, vec_size_t > | Rank 3 tensor |
Co2scl::tensor4< data_t, vec_t, vec_size_t > | Rank 4 tensor |
Co2scl::tensor< int > | |
Co2scl::tensor< size_t > | |
Co2scl::tensor_grid< vec_t, vec_size_t > | Tensor class with arbitrary dimensions with a grid |
►Co2scl::tensor_grid< std::vector< double >, std::vector< size_t > > | |
Co2scl::tensor_grid1< vec_t, vec_size_t > | Rank 1 tensor with a grid |
Co2scl::tensor_grid2< vec_t, vec_size_t > | Rank 2 tensor with a grid |
Co2scl::tensor_grid3< vec_t, vec_size_t > | Rank 3 tensor with a grid |
Co2scl::tensor_grid4< vec_t, vec_size_t > | Rank 4 tensor with a grid |
Co2scl::test_mgr | A class to manage testing and record success and failure |
►Co2scl::TokenBase | Token base data type for o2scl::calculator |
Co2scl::Token< T > | Token class for o2scl::calculator |
Co2scl_linalg::ubvector_2_mem | Allocation object for 2 arrays of equal size |
Co2scl_linalg::ubvector_4_mem | Allocation object for 4 arrays of equal size |
Co2scl_linalg::ubvector_5_mem | Allocation object for 5 arrays of equal size |
Co2scl::uniform_grid< data_t > | A class representing a uniform linear or logarithmic grid |
►Co2scl::uniform_grid< double > | |
Co2scl::uniform_grid_end< data_t > | Linear grid with fixed number of bins and fixed endpoint |
Co2scl::uniform_grid_end_width< data_t > | Linear grid with fixed endpoint and fixed bin size |
Co2scl::uniform_grid_log_end< data_t > | Logarithmic grid with fixed number of bins and fixed endpoint |
Co2scl::uniform_grid_log_end_width< data_t > | Logarithmic grid with fixed endpoint and fixed bin size |
Co2scl::uniform_grid_log_width< data_t > | Logarithmic grid with fixed number of bins and fixed bin size |
Co2scl::uniform_grid_width< data_t > | Linear grid with fixed number of bins and fixed bin size |
Co2scl::uniform_prior< vec_t > | An unnormalized uniform prior distribution for several variables |
Co2scl::uniform_prior<> | |
Co2scl::convert_units< fp_t >::unit_t | The type for caching unit conversions |
Co2scl::vec_index | A class to assign string labels to array indices |
Cboost::numeric::ublas::vector< T, A > | The default vector type from uBlas |
Cboost::numeric::ublas::vector< double > | |
Cboost::numeric::ublas::vector< int > | |
Cboost::numeric::ublas::vector< size_t > | |
Co2scl::vector_index_vector< data_t > | Trivial index vector |
Co2scl::vector_index_vector_size< data_t > | Index vector with a size method |
Co2scl::vector_range_gen< vec_t > | Experimental vector range object |