xxmcmc.cpp File Reference

(* $Id$)

#include <admodel.h>

Go to the source code of this file.

Defines
#define	getch   getchar
	$Id$
#define	ISZERO(d)   ((d)==0.0)
Functions
void	ad_update_function_minimizer_report (int feval, int iter, int phase, double fval, double gmax, const char *cbuf)
void	ad_update_mcmc_report (dmatrix &m, int i, int j, int ff=0)
void	ad_update_mcmc_stats_report (int feval, int iter, double fval, double gmax)
void	ad_update_mcmchist_report (dmatrix &mcmc_values, ivector &number_offsets, dvector &mean_mcmc_values, dvector &h, int ff=0)
void	add_hist_values (const dvector &s, const dvector &m, const dmatrix &hist, dvector &mcmc_values, double llc, const dvector &h, int nslots, double total_spreadd, int probflag=0)
double	better_rand (long int &)
	Description not yet available.
void	make_preliminary_hist (const dvector &s, const dvector &m, int nsim, const dmatrix &values, dmatrix &hist, const dvector &h, int slots, double total_spread, int probflag=0)
int	maxnz (const dvector &xa)
int	minnz (const dvector &x)
dvector	new_probing_bounded_multivariate_normal (int nvar, const dvector &a1, const dvector &b1, dmatrix &ch, const double &wght, double pprobe, random_number_generator &rng)
void	new_probing_bounded_multivariate_normal_mcmc (int nvar, const dvector &a1, const dvector &b1, dmatrix &ch, const double &wght, const dvector &_y, double pprobe, random_number_generator &rng)
void	print_hist_data (const dmatrix &hist, const dmatrix &values, const dvector &h, dvector &m, const dvector &s, const dvector &parsave, int iseed, double size_scale)
void	read_covariance_matrix (const dmatrix &S, int nvar, int &oldHbf, dvector &sscale)
void	read_empirical_covariance_matrix (int nvar, const dmatrix &S, const adstring &prog_name)
	Reads the covariance matrix from a file, which is the program name prepended to the extension '.ecm'.
void	read_hessian_matrix_and_scale (int nvar, const dmatrix &S, const dvector &pen_vector)
void	read_hessian_matrix_and_scale1 (int nvar, const dmatrix &_SS, double s, int mcmc2_flag)
int	read_hist_data (const dmatrix &hist, const dvector &h, dvector &m, const dvector &s, const dvector &parsave, int &iseed, const double &size_scale)
dvector	read_old_scale (int &old_nvar)
void	set_labels_for_mcmc (void)
int	user_stop (void)
void	write_empirical_covariance_matrix (int ncor, const dvector &s_mean, const dmatrix &s_covar, adstring &prog_name)
	Writes the covariance matrix out to a file, which is prog_name prepended to the extension '.ecm'.
Variables
int	ctlc_flag
	Description not yet available.

---

Define Documentation

#define getch   getchar

$Id$

Author: David Fournier Copyright (c) 2008-2012 Regents of the University of California

Definition at line 12 of file xxmcmc.cpp.

Referenced by user_stop().

#define ISZERO

(

d

)

((d)==0.0)

Definition at line 23 of file xxmcmc.cpp.

Referenced by maxnz(), and minnz().

---

Function Documentation

void ad_update_function_minimizer_report	(	int	feval,
		int	iter,
		int	phase,
		double	fval,
		double	gmax,
		const char *	cbuf
	)

void ad_update_mcmc_report	(	dmatrix &	m,
		int	i,
		int	j,
		int	ff = 0
	)

void ad_update_mcmc_stats_report	(	int	feval,
		int	iter,
		double	fval,
		double	gmax
	)

void ad_update_mcmchist_report	(	dmatrix &	mcmc_values,
		ivector &	number_offsets,
		dvector &	mean_mcmc_values,
		dvector &	h,
		int	ff = 0
	)

void add_hist_values	(	const dvector &	s,
		const dvector &	m,
		const dmatrix &	hist,
		dvector &	mcmc_values,
		double	llc,
		const dvector &	h,
		int	nslots,
		double	total_spreadd,
		int	probflag = 0
	)

Definition at line 1160 of file xxmcmc.cpp.

Referenced by function_minimizer::mcmc_routine().

double better_rand

(

long int &

idum

)

Description not yet available.

Parameters:

Definition at line 21 of file bet_rand.cpp.

Referenced by bounded_robust_multivariate_normal(), get_bounded_cauchy(), get_bounded_mixture(), get_bounded_normal(), function_minimizer::monte_carlo_routine(), multivariate_mixture(), randcau(), and randpoisson().

void make_preliminary_hist	(	const dvector &	s,
		const dvector &	m,
		int	nsim,
		const dmatrix &	values,
		dmatrix &	hist,
		const dvector &	h,
		int	slots,
		double	total_spread,
		int	probflag = 0
	)

Definition at line 1223 of file xxmcmc.cpp.

Referenced by function_minimizer::mcmc_routine().

int maxnz

(

const dvector &

xa

)

Definition at line 1143 of file xxmcmc.cpp.

Referenced by print_hist_data().

int minnz

(

const dvector &

x

)

Definition at line 1126 of file xxmcmc.cpp.

Referenced by print_hist_data().

dvector new_probing_bounded_multivariate_normal	(	int	nvar,
		const dvector &	a1,
		const dvector &	b1,
		dmatrix &	ch,
		const double &	wght,
		double	pprobe,
		random_number_generator &	rng
	)

Definition at line 14 of file prmonte.cpp.

void new_probing_bounded_multivariate_normal_mcmc	(	int	nvar,
		const dvector &	a1,
		const dvector &	b1,
		dmatrix &	ch,
		const double &	wght,
		const dvector &	_y,
		double	pprobe,
		random_number_generator &	rng
	)

Definition at line 167 of file prmonte.cpp.

void print_hist_data	(	const dmatrix &	hist,
		const dmatrix &	values,
		const dvector &	h,
		dvector &	m,
		const dvector &	s,
		const dvector &	parsave,
		int	iseed,
		double	size_scale
	)

Definition at line 988 of file xxmcmc.cpp.

void read_covariance_matrix	(	const dmatrix &	S,
		int	nvar,
		int &	oldHbf,
		dvector &	sscale
	)

Definition at line 1302 of file xxmcmc.cpp.

Referenced by function_minimizer::hybrid_mcmc_routine(), and function_minimizer::mcmc_routine().

void read_empirical_covariance_matrix	(	int	nvar,
		const dmatrix &	S,
		const adstring &	prog_name
	)

Reads the covariance matrix from a file, which is the program name prepended to the extension '.ecm'.

Parameters:

int	nvar
dmatrix&	S
adstring&	prog_name

Returns:

Nothing, but S has been assigned to the contents of the file.

Definition at line 943 of file xxmcmc.cpp.

Referenced by function_minimizer::hybrid_mcmc_routine(), and function_minimizer::mcmc_routine().

void read_hessian_matrix_and_scale	(	int	nvar,
		const dmatrix &	S,
		const dvector &	pen_vector
	)

Definition at line 1344 of file xxmcmc.cpp.

void read_hessian_matrix_and_scale1	(	int	nvar,
		const dmatrix &	_SS,
		double	s,
		int	mcmc2_flag
	)

Definition at line 1435 of file xxmcmc.cpp.

Referenced by function_minimizer::hybrid_mcmc_routine(), and function_minimizer::mcmc_routine().

int read_hist_data	(	const dmatrix &	hist,
		const dvector &	h,
		dvector &	m,
		const dvector &	s,
		const dvector &	parsave,
		int &	iseed,
		const double &	size_scale
	)

Definition at line 1074 of file xxmcmc.cpp.

dvector read_old_scale

(

int &

old_nvar

)

Definition at line 1649 of file xxmcmc.cpp.

Referenced by function_minimizer::hybrid_mcmc_routine().

void set_labels_for_mcmc

(

void

)

int user_stop

(

void

)

Definition at line 1540 of file xxmcmc.cpp.

Referenced by function_minimizer::mcmc_routine().

void write_empirical_covariance_matrix	(	int	ncor,
		const dvector &	s_mean,
		const dmatrix &	s_covar,
		adstring &	prog_name
	)

Writes the covariance matrix out to a file, which is prog_name prepended to the extension '.ecm'.

Also writes the sorted eigenvalues of the covariance matrix to the screen.

Parameters:

int	ncor
dvector&	s_mean
dmatrix&	s_covar
adstring&	prog_name

Returns:

Nothing.

Definition at line 899 of file xxmcmc.cpp.

Referenced by function_minimizer::mcmc_routine().

---

Variable Documentation

int ctlc_flag

Description not yet available.

Parameters:

Definition at line 67 of file gradstrc.cpp.