Monte-Carlo integration [abstract base]. More...
#include <mcarlo.h>
This class provides the generic Monte Carlo parameters and the random number generator. The default type for the random number generator is a rng_gsl object.
Public Member Functions | |
| virtual const char * | type () |
| Return string denoting type ("mcarlo") | |
Public Member Functions inherited from o2scl::inte_multi< multi_funct, boost::numeric::ublas::vector< double > > | |
| virtual double | minteg (multi_funct &func, size_t ndim, const boost::numeric::ublas::vector< double > &a, const boost::numeric::ublas::vector< double > &b) |
Integrate function func over the hypercube from to for ndim-1. More... | |
| virtual int | minteg_err (multi_funct &func, size_t ndim, const boost::numeric::ublas::vector< double > &a, const boost::numeric::ublas::vector< double > &b, double &res, double &err)=0 |
Integrate function func over the hypercube from to for ndim-1. | |
| double | get_error () |
| Return the error in the result from the last call to minteg() or minteg_err() More... | |
| const char * | type () |
| Return string denoting type ("inte_multi") | |
Public Attributes | |
| unsigned long | n_points |
| Number of integration points (default 1000) | |
| rng_gsl_uniform_real | rng_dist |
| The random number distribution. | |
| rng_t | rng |
| The random number generator. | |
Public Attributes inherited from o2scl::inte_multi< multi_funct, boost::numeric::ublas::vector< double > > | |
| bool | err_nonconv |
| If true, call the error handler if the routine does not "converge". | |
| int | verbose |
| Verbosity. | |
| double | tol_rel |
The maximum "uncertainty" in the value of the integral (default ). More... | |
Additional Inherited Members | |
Protected Attributes inherited from o2scl::inte_multi< multi_funct, boost::numeric::ublas::vector< double > > | |
| double | interror |
| The uncertainty for the last integration computation. | |
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