![]() ![]() | Placeholder documentation of some related Boost objects |
![]() ![]() ![]() | Documentation of Boost::numeric objects |
![]() ![]() ![]() ![]() | Documentation of uBlas objects |
![]() ![]() ![]() ![]() ![]() | The default vector type from uBlas |
![]() ![]() ![]() ![]() ![]() | The default matrix type from uBlas |
![]() ![]() | The main O2scl namespace |
![]() ![]() ![]() | Simulated annealing base |
![]() ![]() ![]() | Multidimensional minimization by simulated annealing (GSL) |
![]() ![]() ![]() | Base for o2scl::cli command function |
![]() ![]() ![]() | Function pointer for o2scl::cli command function |
![]() ![]() ![]() | Member function pointer for o2scl::cli command function |
![]() ![]() ![]() | Command for interactive mode in o2scl::cli |
![]() ![]() ![]() | A command-line argument for o2scl::cli |
![]() ![]() ![]() | Configurable command-line interface |
![]() ![]() ![]() ![]() | Parameter for o2scl::cli |
![]() ![]() ![]() ![]() | String parameter for o2scl::cli |
![]() ![]() ![]() ![]() | Double parameter for o2scl::cli |
![]() ![]() ![]() ![]() | Integer parameter for o2scl::cli |
![]() ![]() ![]() ![]() | String parameter for o2scl::cli |
![]() ![]() ![]() | An extension to o2scl::cli which uses readline |
![]() ![]() ![]() | Create nicely formatted columns from a table of strings |
![]() ![]() ![]() | Convert units |
![]() ![]() ![]() ![]() | The type for caching unit conversions |
![]() ![]() ![]() | Class defining an error handler [abstract base] |
![]() ![]() ![]() | The error handler |
![]() ![]() ![]() | Generic exception |
![]() ![]() ![]() | Logic error exception |
![]() ![]() ![]() | Invalid argument exception |
![]() ![]() ![]() | Generic runtime error exception |
![]() ![]() ![]() | Range error runtime exception |
![]() ![]() ![]() | Overflow error runtime exception |
![]() ![]() ![]() | I/O failure error exception |
![]() ![]() ![]() | Error handler to throw C++ exceptions |
![]() ![]() ![]() | Format a floating point number into a Latex or HTML string |
![]() ![]() ![]() | One-dimensional function from a string |
![]() ![]() ![]() | A wrapper to specify o2scl::funct11 objects to GSL |
![]() ![]() ![]() | Base low-level interpolation class [abstract base] |
![]() ![]() ![]() | Linear interpolation (GSL) |
![]() ![]() ![]() | Cubic spline interpolation (GSL) |
![]() ![]() ![]() | Cubic spline interpolation with periodic boundary conditions (GSL) |
![]() ![]() ![]() | Akima spline interpolation (GSL) |
![]() ![]() ![]() | Akima spline interpolation with periodic boundary conditions (GSL) |
![]() ![]() ![]() | Monotonicity-preserving interpolation |
![]() ![]() ![]() | Interpolation class for general vectors |
![]() ![]() ![]() | Interpolation class for pre-specified vector |
![]() ![]() ![]() | A specialization of interp for C-style double arrays |
![]() ![]() ![]() | A specialization of o2scl::interp_vec for C-style arrays |
![]() ![]() ![]() | A class to manage global library settings |
![]() ![]() ![]() | Simple string comparison |
![]() ![]() ![]() | Generate number sequence for testing |
![]() ![]() ![]() | Array of multi-dimensional functions in an array of strings |
![]() ![]() ![]() | A multi-dimensional function from a string |
![]() ![]() ![]() | Searching class for monotonic data with caching |
![]() ![]() ![]() | An extended search_vec which is allowed to return the last element |
![]() ![]() ![]() | A struct to provide the shared_ptr type |
![]() ![]() ![]() | Data table class |
![]() ![]() ![]() ![]() | Column structure for table [protected] |
![]() ![]() ![]() ![]() | Structure for functions_columns() [protected] |
![]() ![]() ![]() | A data structure containing many slices of two-dimensional data points defined on a grid |
![]() ![]() ![]() | Data table class with units |
![]() ![]() ![]() | Tensor class with arbitrary dimensions |
![]() ![]() ![]() | Rank 1 tensor |
![]() ![]() ![]() | Rank 2 tensor |
![]() ![]() ![]() | Rank 3 tensor |
![]() ![]() ![]() | Rank 4 tensor |
![]() ![]() ![]() | Tensor class with arbitrary dimensions with a grid |
![]() ![]() ![]() | Rank 1 tensor with a grid |
![]() ![]() ![]() | Rank 2 tensor with a grid |
![]() ![]() ![]() | Rank 3 tensor with a grid |
![]() ![]() ![]() | Rank 4 tensor with a grid |
![]() ![]() ![]() | A class to manage testing and record success and failure |
![]() ![]() ![]() | A class representing a uniform linear or logarithmic grid |
![]() ![]() ![]() | Linear grid with fixed number of bins and fixed endpoint |
![]() ![]() ![]() | Linear grid with fixed number of bins and fixed bin size |
![]() ![]() ![]() | Linear grid with fixed endpoint and fixed bin size |
![]() ![]() ![]() | Logarithmic grid with fixed number of bins and fixed endpoint |
![]() ![]() ![]() | Logarithmic grid with fixed number of bins and fixed bin size |
![]() ![]() ![]() | Logarithmic grid with fixed endpoint and fixed bin size |
![]() ![]() ![]() | Generic object which represents a row of a matrix |
![]() ![]() ![]() | Generic object which represents a column of a matrix |
![]() ![]() ![]() | Multidimensional minimization by simulated annealing (Boost multi-threaded version) |
![]() ![]() ![]() | Numerical differentiation base [abstract base] |
![]() ![]() ![]() ![]() | A structure for passing the function to second and third derivatives [protected] |
![]() ![]() ![]() | Numerical differentiation routine (CERNLIB) |
![]() ![]() ![]() | Derivatives for equally-spaced abscissas |
![]() ![]() ![]() | Numerical differentiation (GSL) |
![]() ![]() ![]() | String fitting function |
![]() ![]() ![]() | Generalized fitting function [abstract base] |
![]() ![]() ![]() | Standard fitting function based on one-dimensional data with a numerical Jacobian |
![]() ![]() ![]() | Non-linear least-squares fitting [abstract base] |
![]() ![]() ![]() | An unnormalized uniform prior distribution for several variables |
![]() ![]() ![]() | Fit a function to data using Bayesian methods |
![]() ![]() ![]() | Multidimensional fitting class fixing some parameters and varying others |
![]() ![]() ![]() | Linear least-squares fitting class (GSL) |
![]() ![]() ![]() | Non-linear least-squares fitting class with generic minimizer |
![]() ![]() ![]() | Base routines for the nonlinear fitting classes |
![]() ![]() ![]() | Non-linear least-squares fitting class (GSL) |
![]() ![]() ![]() | Base integration class [abstract base] |
![]() ![]() ![]() | Adaptive integration (CERNLIB) |
![]() ![]() ![]() | Cauchy principal value integration (CERNLIB) |
![]() ![]() ![]() | 5,6-point Gaussian quadrature (CERNLIB) |
![]() ![]() ![]() | Gaussian quadrature (CERNLIB) |
![]() ![]() ![]() | Generalized multi-dimensional integration [abstract base] |
![]() ![]() ![]() | Naive generalized multi-dimensional integration |
![]() ![]() ![]() | GSL integration base |
![]() ![]() ![]() | Integration workspace for the GSL integrators |
![]() ![]() ![]() | Basic Gauss-Kronrod integration class (GSL) |
![]() ![]() ![]() | Multi-dimensional integration over a hypercube [abstract base] |
![]() ![]() ![]() | Naive multi-dimensional integration over a hypercube |
![]() ![]() ![]() | Adaptive numerical integration of a function (without singularities) on a bounded interval (GSL) |
![]() ![]() ![]() | Integrate a function over the interval ![]() |
![]() ![]() ![]() | Integrate a function over the interval ![]() |
![]() ![]() ![]() | Integrate a function over the interval ![]() |
![]() ![]() ![]() | Integrate a function with a singularity (GSL) |
![]() ![]() ![]() | Chebyshev integration base class (GSL) |
![]() ![]() ![]() | Adaptive Cauchy principal value integration (GSL) |
![]() ![]() ![]() | Adaptive integration for oscillatory integrals (GSL) |
![]() ![]() ![]() | Adaptive integration a function with finite limits of integration (GSL) |
![]() ![]() ![]() | Adaptive integration for oscillatory integrals (GSL) |
![]() ![]() ![]() | Adaptive integration a function with finite limits of integration (GSL) |
![]() ![]() ![]() | Adaptive integration with with algebraic-logarithmic singularities at the end-points (GSL) |
![]() ![]() ![]() | Non-adaptive integration from a to b (GSL) |
![]() ![]() ![]() | Base class for integrating a function with a singularity (GSL) |
![]() ![]() ![]() ![]() | A structure for extrapolation for inte_qags_gsl |
![]() ![]() ![]() | Integrate a function with a singularity (GSL) [abstract base] |
![]() ![]() ![]() | A class for representing permutations |
![]() ![]() ![]() | Expectation value base class |
![]() ![]() ![]() | Scalar expectation value |
![]() ![]() ![]() | Vector expectation value |
![]() ![]() ![]() | Matrix expectation value |
![]() ![]() ![]() | Monte-Carlo integration [abstract base] |
![]() ![]() ![]() | Multidimensional integration using the MISER Monte Carlo algorithm (GSL) |
![]() ![]() ![]() | Multidimensional integration using plain Monte Carlo (GSL) |
![]() ![]() ![]() | Multidimensional integration using Vegas Monte Carlo (GSL) |
![]() ![]() ![]() | Random number generator (GSL) |
![]() ![]() ![]() | Multidimensional minimization by the differential evolution method |
![]() ![]() ![]() | Multidimensional minimization by the differential evolution method |
![]() ![]() ![]() | One-dimensional minimization [abstract base] |
![]() ![]() ![]() | One-dimensional bracketing minimization [abstract base] |
![]() ![]() ![]() | One-dimensional minimization using derivatives [abstract base] |
![]() ![]() ![]() | One-dimensional minimization using Brent's method (GSL) |
![]() ![]() ![]() | One-dimensional minimization using Brent's method (GSL) |
![]() ![]() ![]() | One-dimensional minimization (CERNLIB) |
![]() ![]() ![]() | Minimization of a function using the safeguarded step-length algorithm of Gill and Murray [GSL] |
![]() ![]() ![]() | Class for automatically computing gradients [abstract base] |
![]() ![]() ![]() | Simple automatic computation of gradient by finite differencing |
![]() ![]() ![]() | Multidimensional minimization [abstract base] |
![]() ![]() ![]() | Virtual base for the mmin_bfgs2 wrapper |
![]() ![]() ![]() | Wrapper class for the mmin_bfgs2 minimizer |
![]() ![]() ![]() | The line minimizer for mmin_bfgs2 |
![]() ![]() ![]() | Multidimensional minimization by the BFGS algorithm (GSL) |
![]() ![]() ![]() | Base minimization routines for mmin_conf and mmin_conp |
![]() ![]() ![]() | Multidimensional minimization by the Fletcher-Reeves conjugate gradient algorithm (GSL) |
![]() ![]() ![]() | Multidimensional minimization by the Polak-Ribiere conjugate gradient algorithm (GSL) |
![]() ![]() ![]() | Constrained multidimensional minimization (OOL) [abstract base] |
![]() ![]() ![]() | Constrained minimization by the "GENCAN" method (OOL) |
![]() ![]() ![]() | Constrained minimization by the projected gradient method (OOL) |
![]() ![]() ![]() | Constrained minimization by the spectral projected gradient method (OOL) |
![]() ![]() ![]() | Multidimensional minimizer fixing some parameters and varying others |
![]() ![]() ![]() | Multidimensional minimization by the Simplex method (v2) (GSL) |
![]() ![]() ![]() | Adaptive stepper [abstract base] |
![]() ![]() ![]() | Control structure for astep_gsl |
![]() ![]() ![]() | Adaptive ODE stepper (GSL) |
![]() ![]() ![]() | An non-adaptive stepper implementation of astep_base |
![]() ![]() ![]() | Bulirsch-Stoer implicit ODE stepper (GSL) |
![]() ![]() ![]() | Solve boundary-value ODE problems by multishooting with a generic nonlinear solver |
![]() ![]() ![]() | Solve a ODE boundary value problem by multishooting |
![]() ![]() ![]() | Base class for boundary-value ODE solvers |
![]() ![]() ![]() | Solve boundary-value ODE problems by shooting from one boundary to the other |
![]() ![]() ![]() | Solve boundary-value ODE problems by shooting from one boundary to the other on a grid |
![]() ![]() ![]() | One-dimensional function from strings |
![]() ![]() ![]() | ODE solver using a generic linear solver to solve finite-difference equations |
![]() ![]() ![]() | Solve an initial-value ODE problems given an adaptive ODE stepper |
![]() ![]() ![]() | Solve an initial-value ODE problem and store the result in a table object |
![]() ![]() ![]() | Embedded Runge-Kutta Prince-Dormand ODE stepper (GSL) |
![]() ![]() ![]() | Cash-Karp embedded Runge-Kutta ODE stepper (GSL) |
![]() ![]() ![]() | Runge-Kutta-Fehlberg embedded Runge-Kutta ODE stepper (GSL) |
![]() ![]() ![]() | ODE stepper base [abstract base] |
![]() ![]() ![]() | Determine bin size (CERNLIB) |
![]() ![]() ![]() | Chebyshev approximation (GSL) |
![]() ![]() ![]() | A contour line |
![]() ![]() ![]() | Edges for the contour class |
![]() ![]() ![]() | Calculate contour lines from a two-dimensional data set |
![]() ![]() ![]() | Real mixed-radix fast Fourier transform |
![]() ![]() ![]() | A one-dimensional histogram class |
![]() ![]() ![]() | A two-dimensional histogram class |
![]() ![]() ![]() | Two-dimensional interpolation base class [abstract] |
![]() ![]() ![]() | Bilinear or bicubic two-dimensional interpolation |
![]() ![]() ![]() | Two-dimensional interpolation for equally-spaced intervals |
![]() ![]() ![]() | Nearest-neighbor interpolation in two dimensions |
![]() ![]() ![]() | Interpolate among two independent variables with planes |
![]() ![]() ![]() | Two-dimensional interpolation class by successive one-dimensional interpolation |
![]() ![]() ![]() | Multi-dimensional interpolation by inverse distance weighting |
![]() ![]() ![]() | Nearest-neighbor interpolation in arbitrary number of dimensions |
![]() ![]() ![]() | Test line intersection and point inside polygon |
![]() ![]() ![]() ![]() | Internal line definition for pinside |
![]() ![]() ![]() ![]() | Internal point definition for pinside |
![]() ![]() ![]() | Solve a quadratic polynomial with real coefficients and real roots [abstract base] |
![]() ![]() ![]() | Solve a quadratic polynomial with real coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a quadratic polynomial with complex coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a cubic polynomial with real coefficients and real roots [abstract base] |
![]() ![]() ![]() | Solve a cubic polynomial with real coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a cubic polynomial with complex coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a quartic polynomial with real coefficients and real roots [abstract base] |
![]() ![]() ![]() | Solve a quartic polynomial with real coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a quartic polynomial with complex coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a general polynomial with real coefficients and complex roots [abstract base] |
![]() ![]() ![]() | Solve a general polynomial with complex coefficients [abstract base] |
![]() ![]() ![]() | Solve a cubic with real coefficients and complex roots (CERNLIB) |
![]() ![]() ![]() | Solve a quartic with real coefficients and complex roots (CERNLIB) |
![]() ![]() ![]() | Solve a quadratic with real coefficients and complex roots (GSL) |
![]() ![]() ![]() | Solve a cubic with real coefficients and complex roots (GSL) |
![]() ![]() ![]() | Solve a quartic with real coefficients and real roots (GSL) |
![]() ![]() ![]() | Solve a quartic with real coefficients and real roots (GSL) |
![]() ![]() ![]() | Solve a general polynomial with real coefficients (GSL) |
![]() ![]() ![]() | Solve a quadratic with complex coefficients and complex roots |
![]() ![]() ![]() | Solve a cubic with complex coefficients and complex roots |
![]() ![]() ![]() | Solve a quartic with real coefficients and real roots |
![]() ![]() ![]() | Solve a quartic with complex coefficients and complex roots |
![]() ![]() ![]() | Polylogarithms (approximate) ![]() |
![]() ![]() ![]() | A one-dimensional probability density function |
![]() ![]() ![]() | A one-dimensional Gaussian probability density |
![]() ![]() ![]() | A one-dimensional probability density over a finite range |
![]() ![]() ![]() | A uniform one-dimensional probability density over a finite range |
![]() ![]() ![]() | A one-dimensional probability density over the positive real numbers |
![]() ![]() ![]() | Lognormal density function |
![]() ![]() ![]() | Probability density function based on a histogram |
![]() ![]() ![]() | Series acceleration by Levin u-transform (GSL) |
![]() ![]() ![]() | Smooth a GSL vector using GSL bsplines |
![]() ![]() ![]() | Base for providing a numerical jacobian [abstract base] |
![]() ![]() ![]() | Simple automatic Jacobian |
![]() ![]() ![]() | A direct calculation of the jacobian using a deriv_base object |
![]() ![]() ![]() ![]() | Parameter structure for passing information |
![]() ![]() ![]() | Multidimensional root-finding [abstract base] |
![]() ![]() ![]() | Multidimensional root-finding using Broyden's method (GSL) |
![]() ![]() ![]() | Multi-dimensional mroot-finding routine (CERNLIB) |
![]() ![]() ![]() | Base functions for mroot_hybrids |
![]() ![]() ![]() | Multidimensional root-finding algorithm using Powell's Hybrid method (GSL) |
![]() ![]() ![]() | A version of mroot_hybrids which uses Armadillo for the QR decomposition |
![]() ![]() ![]() | A version of mroot_hybrids which uses Eigen for the QR decomposition |
![]() ![]() ![]() | One-dimensional solver [abstract base] |
![]() ![]() ![]() | One-dimensional bracketing solver [abstract base] |
![]() ![]() ![]() | One-dimensional with solver with derivatives [abstract base] |
![]() ![]() ![]() | One-dimensional root-finding routine (CERNLIB) |
![]() ![]() ![]() | One-dimensional root-finding (GSL) |
![]() ![]() ![]() | One-dimensional version of cern_mroot |
![]() ![]() ![]() | Steffenson equation solver (GSL) |
![]() ![]() ![]() | Wrapper for Boost 1-d solver |
![]() ![]() ![]() | An empty class to add some items to the todo and bug lists |
![]() ![]() | A namespace for objects associated with the command-line utility 'acol' |
![]() ![]() ![]() | The driver for 'acol' command-line utility |
![]() ![]() ![]() ![]() | Parameters for iterate_func() |
![]() ![]() | Namespace for O2scl CBLAS function templates |
![]() ![]() | Namespace for O2scl CBLAS function templates with operator[] |
![]() ![]() | Constants in CGS units |
![]() ![]() | Constants in CGSM units |
![]() ![]() | Constants |
![]() ![]() | The O2scl namespace for I/O with HDF |
![]() ![]() ![]() | Store data in an O2scl compatible HDF5 file |
![]() ![]() ![]() | An internal structure to pass information to and from iterate_match_type() and iterate_match_name() |
![]() ![]() | A namespace for the GSL adaptive Gauss-Kronrod integration coefficients |
![]() ![]() | A namespace for the quadrature coefficients for non-adaptive integration |
![]() ![]() | The namespace for linear algebra classes and functions |
![]() ![]() ![]() | Lanczos diagonalization |
![]() ![]() ![]() | A generic solver for the linear system ![]() |
![]() ![]() ![]() | Generic linear solver using LU decomposition |
![]() ![]() ![]() | Generic linear solver using QR decomposition |
![]() ![]() ![]() | Generic Householder linear solver |
![]() ![]() ![]() | Armadillo linear solver |
![]() ![]() ![]() | Eigen linear solver using QR decomposition with column pivoting |
![]() ![]() ![]() | Eigen linear solver using QR decomposition with column pivoting |
![]() ![]() ![]() | Eigen linear solver using QR decomposition with full pivoting |
![]() ![]() ![]() | Eigen linear solver using LU decomposition with partial pivoting |
![]() ![]() ![]() | Eigen linear solver using LU decomposition with full pivoting |
![]() ![]() ![]() | Eigen linear solver using LLT decomposition with full pivoting |
![]() ![]() ![]() | Eigen linear solver using LDLT decomposition with full pivoting |
![]() ![]() ![]() | Allocation object for 2 arrays of equal size |
![]() ![]() ![]() | Allocation object for 4 arrays of equal size |
![]() ![]() ![]() | Allocation object for 5 arrays of equal size |
![]() ![]() | The namespace for linear algebra classes and functions with operator() |
![]() ![]() | Constants in MKS units |
![]() ![]() | Constants in MKSA units |
![]() ![]() | Parse a mathematical function specified in a string |
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