Description not yet available. More...

#include <admodel.h>

Public Member Functions
	function_minimizer (long int sz=0L)
virtual	~function_minimizer ()
	Destructor.
virtual void	AD_uf_inner ()
virtual void	AD_uf_outer ()
void	adamoeba (const dmatrix &p, const dvector &y, int ndim, double ftol, int maxfn)
	Nelder-Mead simplex alogrithm.
dvariable	adromb (PMF, double a, double b, int ns=9)
dvariable	adromb (PMF, const dvariable &a, double b, int ns=9)
dvariable	adromb (PMF, const dvariable &a, const dvariable &b, int ns=9)
dvariable	adromb (PMF, double a, const dvariable &b, int ns=9)
dvariable	adrombo (PMF, double a, double b, int ns=9)
dvariable	adrombo (PMF, const dvariable &a, double b, int ns=9)
dvariable	adrombo (PMF, const dvariable &a, const dvariable &b, int ns=9)
dvariable	adrombo (PMF, double a, const dvariable &b, int ns=9)
virtual void	allocate ()
double	amxxx (const dmatrix &p, const dvector &y, const dvector &psum, int ndim, int ihi, double fac)
	Description not yet available.
void	begin_df1b2_funnel (void)
void	begin_funnel_stuff (void)
void	begin_gauss_hermite_stuff (void)
virtual void	between_phases_calculations (void)
void	computations (int argc, char *argv[])
void	computations (void)
void	computations1 (int argc, char *argv[])
void	computations_np (int argc, char *argv[])
int	constrained_minimization2 (int _n, int _nh, int _ng, dvector &__x)
void	constraint_report (void)
virtual void	constraints_minimize (void)
virtual void	deallocate ()
dmatrix	dep_hess_routine (const dvariable &dep)
	Description not yet available.
void	depvars_routine (void)
	Calculate the derivatives of dependent variables with respect to the independent variables.
dmatrix	diag_hess_routine (void)
double	diag_projected_hess_determinant (const dvector &g, const int underflow_flag, dmatrix &dh)
dvariable	do_gauss_hermite_integration (void)
int	ef_ (double f, double x)
void	end_df1b2_funnel (void)
void	end_df1b2_funnel_stuff (void)
void	end_gauss_hermite_stuff (void)
void	end_get_importance_sampling_comnponent (void)
virtual void	final_calcs (void)
void	function_evaluation_block_pvm_slave (void)
void	function_evaluation_block_pvm_slave_random_effects (int nvar, int _crit, independent_variables &x, const dvector &g, const double &f)
void	function_evaluation_block_pvm_slave_random_effects (void)
void	get_bigS (int ndvar, int nvar1, int nvar, dmatrix &S, dmatrix &BS, dvector &scale)
	Description not yet available.
void	get_function_difference (void)
double	get_hybrid_monte_carlo_value (int nvar, const independent_variables &x, dvector &g)
	Description not yet available.
double	get_monte_carlo_value (int nvar, const independent_variables &x)
double	get_monte_carlo_value (int nvar, const independent_variables &x, dvector &g)
double	get_monte_carlo_value (int nvar, const dvector &x)
void	get_particular_grad (int iprof, int nvar, const dvector &fg, const dvector &g)
double	hess_determinant (int underflow_flag)
void	hess_inv (void)
	Symmetrize and invert the hessian.
void	hess_routine (void)
void	hess_routine_and_constraint (int iprof, const dvector &g, dvector &fg)
void	hess_routine_master (void)
void	hess_routine_noparallel (void)
void	hess_routine_noparallel_random_effects (void)
	Description not yet available.
void	hess_routine_noparallel_randomeffects (void)
void	hess_routine_random_effects (void)
	Description not yet available.
void	hess_routine_slave (void)
void	hess_routine_slave_random_effects (void)
	Description not yet available.
void	hybrid_mcmc_routine (int, int, double, int)
	Description not yet available.
void	likeprof_routine (double global_min)
void	limited_memory_quasi_newton (const independent_variables &, int)
void	limited_memory_quasi_newton (const independent_variables &, int, int)
void	limited_memory_quasi_newton (double &f, const independent_variables &, int, int, int, double)
void	limited_memory_quasi_newton_block (int nvar, int _crit, independent_variables &x, const dvector &_g, const double &_f, int nsteps)
	Description not yet available.
void	mcmc_computations (void)
void	mcmc_eval (void)
	Description not yet available.
void	mcmc_routine (int, int, double, int)
	Monte Carlo Markov Chain minimization routine Approximate the target distribution by performing a random walk across parameter space, integrating at each step.
dvariable	midpnt (PMF, double a, double b, int n)
dvariable	midpnt (PMF, double a, const dvariable &b, int n)
dvariable	midpnt (PMF, const dvariable &a, double b, int n)
dvariable	midpnt (PMF, const dvariable &a, const dvariable &b, int n)
virtual void	minimize (void)
void	monte_carlo_routine (void)
void	multint (int n, const dvar_vector &a, const dvar_vector &b, const dvar_vector &h, double al, int m, const dvariable &e, const dvariable &aint, const int &key, PMFVI f)
void	multint4 (int n, const dvar_vector &a, const dvar_vector &b, const dvar_vector &h, double al, int m, const dvariable &e, const dvariable &aint1, const dvariable &aint2, dvariable &aint3, const dvariable &aint4, const int &key, PMFVIV4 f)
virtual void *	mycast ()
void	neldmead (int n, dvector &_start, dvector &_xmin, double ynewlo, double reqmin, double delta, int icount, int numres, int ifault)
	Nelder-Mead simplex alogrithm.
void	normalize_posterior_distribution (double udet, const dvector &siglevel, const ofstream &ofs2, int num_pp, const dvector &all_values, const dmatrix &actual_value, double global_min, int offset, const dmatrix &lprof, const dmatrix &ldet, const dmatrix &xdist, const dmatrix &penalties)
virtual void	other_calculations (void)
void	other_separable_stuff_begin (void)
void	other_separable_stuff_end (void)
void	pre_user_function (void)
	Description not yet available.
void	pre_userfunction (void)
void	prof_hess_routine (int ip, double new_value, double final_weight)
void	prof_minimize (int iprof, double sigma, double new_value, const double &fprof, const int underflow_flag, double global_min, const double &penalties, const double &final_weight)
void	prof_minimize_re (int iprof, double sigma, double new_value, const double &fprof, const int underflow_flag, double global_min, const double &penalties, const double &final_weight)
double	projected_hess_determinant (const dvector &g, const int underflow_flag, const dvector &xscale, const double &ln_det_proj_jac)
double	projected_hess_determinant (const dvector &g, const int underflow_flag)
double	projected_hess_determinant (const dmatrix &hh, const dvector &g, const int underflow_flag)
double	projected_hess_determinant (const dvector &fg, const dvector &g, const int underflow_flag, const dvector &curvscale, const dvector &xscale, double &ln_det_proj_jac, const double &tmp, const dmatrix &hesses)
double	projected_jacobian (const dvector &g, const dvector &xscale)
void	pvm_master_function_evaluation (double &f, independent_variables &x, const dvector &g, int nvar)
void	pvm_master_function_evaluation_no_derivatives (double &f, independent_variables &x, int nvar)
void	pvm_master_function_evaluation_profile (double &f, independent_variables &x, const dvector &g, int nvar, int iprof, double weight, double new_value)
double	pvm_master_get_monte_carlo_value (int nvar, const dvector &x)
void	pvm_master_mcmc_computations (void)
void	pvm_master_mcmc_routine (int nmcmc, int iseed0, double dscale, int restart_flag)
void	pvm_master_prof_minimize (int iprof, double sigma, double new_value, const double &_fprof, const int underflow_flag, double global_min, const double &_penalties, const double &_final_weight)
void	pvm_slave_function_evaluation (void)
void	pvm_slave_function_evaluation_no_derivatives (void)
void	pvm_slave_function_evaluation_noder (void)
void	pvm_slave_get_monte_carlo_value (int nvar)
void	pvm_slave_likeprof_routine (void)
void	pvm_slave_mcmc_computations (void)
void	pvm_slave_mcmc_routine (void)
void	pvm_slave_prof_minimize (int underflow_flag)
void	quasi_newton_block (int nvar, int crit, independent_variables &x, const dvector &g, const double &f)
	Description not yet available.
void	quasi_newton_block_pvm_master (int nvar, int _crit, independent_variables &x, const dvector &g, const double &f)
void	quasi_newton_block_pvm_master_random_effects (int nvar, int _crit, independent_variables &x, const dvector &g, const double &f)
void	quasi_newton_minimizer1 (int nvar, double _crit, double &f, const independent_variables &x, const dvector &g)
dvariable	random_effects_maximization (const dvar_vector &v)
void	sd_routine (void)
void	set_initial_simplex (const dmatrix &p, const dvector &y, int nvar, const dvector &x, double delta)
void	set_multinomial_weights (dvector &d)
virtual void	set_runtime (void)
virtual void	set_runtime_crit (const char *)
virtual void	set_runtime_maxfn (const char *)
void	setup_quadprior_calcs (void)
void	sgibbs_mcmc_routine (int, int, double, int)
void	sob_routine (int nmcmc, double dscale, int restart_flag)
void	sobol_importance_routine (int nmcmc, int iseed0, double dscale, int restart_flag)
void	start_get_importance_sampling_comnponent (void)
void	top_mcmc_routine (int, int, double, int)
dvariable	trapzd (void *, double a, double b, int n)
dvariable	trapzd (PMF, double a, double b, int n)
dvariable	trapzd (PMF, double a, const dvariable &b, int n)
dvariable	trapzd (PMF, const dvariable &a, double b, int n)
dvariable	trapzd (PMF, const dvariable &a, const dvariable &b, int n)
void	trust_region_update (int nvar, int _crit, independent_variables &x, const dvector &_g, const double &_f)
	Description not yet available.
double	unrestricted_hess_determinant (void)
virtual dvar_matrix	user_d2frandeff (const dvar_vector &x)
virtual dvar_vector	user_dfrandeff (const dvar_vector &x)
virtual void	user_function ()
virtual dvariable	user_randeff (const dvar_vector &x)
virtual void	userfunction (void)=0
Static Public Member Functions
static int	inner_opt (void)
Public Attributes
double	crit
double	dfn
long	iexit
long	ifn
long	ihang
long	ihflag
int	imax
int	iprint
laplace_approximation_calculator *	lapprox
int	maxfn
int	maxfn_flag
int	mcmc2_flag
double	min_improve
dvector *	multinomial_weights
dmatrix *	negdirections
int	quit_flag
int	repeatminflag
int	robust_hybrid_flag
int	scroll_flag
int	spminflag
Static Public Attributes
static int	bad_step_flag = 0
static int	constraint_exit_number
static int	first_hessian_flag = 0
static int	inner_opt_flag = 0
static int	likeprof_flag
static int	negative_eigenvalue_flag = 0
static named_dvar_vector *	pg
static named_dvar_vector *	ph
static int	random_effects_flag = 0
static int	test_trust_flag = 0
Protected Member Functions
virtual void	report (const dvector &gradients)
void	report_function_minimizer_stats (void)
Protected Attributes
double	ffbest
Static Protected Attributes
static dvector	convergence_criteria
static int	have_constraints = 0
static dvector	maximum_function_evaluations
static int	sd_flag
static adstring	user_data_file
static adstring	user_par_file
Private Member Functions
dvariable	do_gauss_hermite_integration_multi (void)
Private Attributes
adstring_array	param_labels
ivector	param_size
gradient_structure *	pgs
Friends
class	equality_constraint_vector
class	inequality_constraint_vector

Detailed Description

Description not yet available.

Parameters:

Definition at line 1794 of file admodel.h.

Constructor & Destructor Documentation

function_minimizer::function_minimizer ( long int sz = 0L )

Definition at line 517 of file xmodelm3.cpp.

function_minimizer::~function_minimizer ( ) [virtual]

Destructor.

Definition at line 582 of file xmodelm3.cpp.

Member Function Documentation

void function_minimizer::AD_uf_inner ( ) [virtual]

Definition at line 40 of file xmodelm4.cpp.

void function_minimizer::AD_uf_outer ( ) [virtual]

Definition at line 39 of file xmodelm4.cpp.

Referenced by calculate_importance_sample(), calculate_importance_sample_block_diagonal(), calculate_importance_sample_block_diagonal_funnel(), calculate_importance_sample_block_diagonal_option2(), calculate_importance_sample_block_diagonal_option_antithetical(), calculate_importance_sample_funnel(), calculate_importance_sample_shess(), calculate_laplace_approximation(), do_gauss_hermite_block_diagonal(), and do_gauss_hermite_block_diagonal_multi().

void function_minimizer::adamoeba	(	const dmatrix &	_p,
		const dvector &	_y,
		int	ndim,
		double	ftol,
		int	nfunk
	)

Nelder-Mead simplex alogrithm.

Parameters:

_p	Matrix
_y	Vector
ndim	Integer
ftol	Double
nfunk	Integer

The implementation of this algorithm was inspired by "Numerical Recipes in C", 2nd edition, Press, Teukolsky, Vetterling, Flannery, chapter 10

Deprecated:: User should use the neldmead function

Definition at line 44 of file amoeba.cpp.

Referenced by minimize().

dvariable function_minimizer::adromb	(	PMF	,
		double	a,
		double	b,
		int	ns = `9`
	)

dvariable function_minimizer::adromb	(	PMF	,
		const dvariable &	a,
		double	b,
		int	ns = `9`
	)

dvariable function_minimizer::adromb	(	PMF	,
		const dvariable &	a,
		const dvariable &	b,
		int	ns = `9`
	)

dvariable function_minimizer::adromb	(	PMF	,
		double	a,
		const dvariable &	b,
		int	ns = `9`
	)

dvariable function_minimizer::adrombo	(	PMF	,
		double	a,
		double	b,
		int	ns = `9`
	)

dvariable function_minimizer::adrombo	(	PMF	,
		const dvariable &	a,
		double	b,
		int	ns = `9`
	)

dvariable function_minimizer::adrombo	(	PMF	,
		const dvariable &	a,
		const dvariable &	b,
		int	ns = `9`
	)

dvariable function_minimizer::adrombo	(	PMF	,
		double	a,
		const dvariable &	b,
		int	ns = `9`
	)

virtual void function_minimizer::allocate ( void ) [inline, virtual]

Definition at line 1846 of file admodel.h.

Referenced by limited_memory_quasi_newton_block(), prof_minimize_re(), quasi_newton_block(), and trust_region_update().

double function_minimizer::amxxx	(	const dmatrix &	_p,
		const dvector &	_y,
		const dvector &	_psum,
		int	ndim,
		int	ihi,
		double	fac
	)

Description not yet available.

Parameters:

Definition at line 113 of file amoeba.cpp.

Referenced by adamoeba().

void function_minimizer::begin_df1b2_funnel ( void ) [inline]

Definition at line 1821 of file admodel.h.

void function_minimizer::begin_funnel_stuff ( void )

Definition at line 754 of file xmodelm3.cpp.

void function_minimizer::begin_gauss_hermite_stuff ( void )

Definition at line 712 of file xmodelm3.cpp.

Referenced by begin_funnel_stuff().

virtual void function_minimizer::between_phases_calculations ( void ) [inline, virtual]

Definition at line 1880 of file admodel.h.

Referenced by minimize().

void function_minimizer::computations	(	int	argc,
		char *	argv[]
	)

Definition at line 33 of file modspmin.cpp.

void function_minimizer::computations ( void )

Definition at line 321 of file modspmin.cpp.

void function_minimizer::computations1	(	int	argc,
		char *	argv[]
	)

Definition at line 63 of file modspmin.cpp.

Referenced by computations().

void function_minimizer::computations_np	(	int	argc,
		char *	argv[]
	)

int function_minimizer::constrained_minimization2	(	int	_n,
		int	_nh,
		int	_ng,
		dvector &	__x
	)

void function_minimizer::constraint_report ( void )

virtual void function_minimizer::constraints_minimize ( void ) [virtual]

Referenced by computations1().

virtual void function_minimizer::deallocate ( void ) [inline, virtual]

Definition at line 1847 of file admodel.h.

Referenced by quasi_newton_block().

dmatrix function_minimizer::dep_hess_routine ( const dvariable & dep )

Description not yet available.

Parameters:

Definition at line 19 of file dep_hess.cpp.

void function_minimizer::depvars_routine ( void )

Calculate the derivatives of dependent variables with respect to the independent variables.

Definition at line 418 of file mod_hess.cpp.

Referenced by computations1().

dmatrix function_minimizer::diag_hess_routine ( void )

double function_minimizer::diag_projected_hess_determinant	(	const dvector &	g,
		const int	underflow_flag,
		dmatrix &	dh
	)

dvariable function_minimizer::do_gauss_hermite_integration ( void )

Definition at line 12 of file xmodelm5.cpp.

Referenced by do_gauss_hermite_block_diagonal(), and do_gauss_hermite_block_diagonal_multi().

dvariable function_minimizer::do_gauss_hermite_integration_multi ( void ) [private]

Definition at line 31 of file xmodelm5.cpp.

Referenced by do_gauss_hermite_integration().

int function_minimizer::ef_	(	double *	f,
		double *	x
	)

void function_minimizer::end_df1b2_funnel ( void ) [inline]

Definition at line 1823 of file admodel.h.

void function_minimizer::end_df1b2_funnel_stuff ( void )

Definition at line 781 of file xmodelm3.cpp.

void function_minimizer::end_gauss_hermite_stuff ( void )

Definition at line 814 of file xmodelm3.cpp.

Referenced by end_df1b2_funnel_stuff().

void function_minimizer::end_get_importance_sampling_comnponent ( void )

Definition at line 736 of file xmodelm3.cpp.

Referenced by end_df1b2_funnel_stuff().

virtual void function_minimizer::final_calcs ( void ) [inline, virtual]

Definition at line 1877 of file admodel.h.

Referenced by computations().

void function_minimizer::function_evaluation_block_pvm_slave ( void )

Referenced by minimize().

void function_minimizer::function_evaluation_block_pvm_slave_random_effects	(	int	nvar,
		int	_crit,
		independent_variables &	x,
		const dvector &	g,
		const double &	f
	)

void function_minimizer::function_evaluation_block_pvm_slave_random_effects ( void )

Referenced by minimize().

void function_minimizer::get_bigS	(	int	ndvar,
		int	nvar1,
		int	nvar,
		dmatrix &	S,
		dmatrix &	BS,
		dvector &	scale
	)

Description not yet available.

Parameters:

Definition at line 18 of file getbigs.cpp.

Referenced by sd_routine().

void function_minimizer::get_function_difference ( void )

Definition at line 774 of file xmodelm3.cpp.

Referenced by end_df1b2_funnel_stuff().

double function_minimizer::get_hybrid_monte_carlo_value	(	int	nvar,
		const independent_variables &	x,
		dvector &	g
	)

Description not yet available.

Parameters:

Definition at line 697 of file hybmcmc.cpp.

Referenced by hybrid_mcmc_routine().

double function_minimizer::get_monte_carlo_value	(	int	nvar,
		const independent_variables &	x
	)

Definition at line 13 of file mod_mc2.cpp.

Referenced by mcmc_eval(), mcmc_routine(), and monte_carlo_routine().

double function_minimizer::get_monte_carlo_value	(	int	nvar,
		const independent_variables &	x,
		dvector &	g
	)

Definition at line 77 of file mod_mc2.cpp.

double function_minimizer::get_monte_carlo_value	(	int	nvar,
		const dvector &	x
	)

Definition at line 11 of file mod_mc4.cpp.

void function_minimizer::get_particular_grad	(	int	iprof,
		int	nvar,
		const dvector &	fg,
		const dvector &	g
	)

Definition at line 174 of file newmodm2.cpp.

Referenced by likeprof_routine().

double function_minimizer::hess_determinant ( int underflow_flag )

Definition at line 10 of file modhdet.cpp.

void function_minimizer::hess_inv ( void )

Symmetrize and invert the hessian.

Definition at line 471 of file mod_hess.cpp.

Referenced by computations1().

void function_minimizer::hess_routine ( void )

Definition at line 18 of file mod_hess.cpp.

Referenced by computations1().

void function_minimizer::hess_routine_and_constraint	(	int	iprof,
		const dvector &	g,
		dvector &	fg
	)

Definition at line 154 of file mod_hess.cpp.

void function_minimizer::hess_routine_master ( void )

Referenced by hess_routine().

void function_minimizer::hess_routine_noparallel ( void )

Definition at line 55 of file mod_hess.cpp.

Referenced by hess_routine().

void function_minimizer::hess_routine_noparallel_random_effects ( void )

Description not yet available.

Parameters:

Definition at line 125 of file mod_rhes.cpp.

Referenced by hess_routine_random_effects().

void function_minimizer::hess_routine_noparallel_randomeffects ( void )

void function_minimizer::hess_routine_random_effects ( void )

Description not yet available.

Parameters:

Definition at line 95 of file mod_rhes.cpp.

Referenced by hess_routine().

void function_minimizer::hess_routine_slave ( void )

Referenced by hess_routine().

void function_minimizer::hess_routine_slave_random_effects ( void )

Description not yet available.

Parameters:

Definition at line 482 of file mod_rhes.cpp.

Referenced by hess_routine_random_effects().

void function_minimizer::hybrid_mcmc_routine	(	int	nmcmc,
		int	iseed0,
		double	dscale,
		int	restart_flag
	)

Description not yet available.

Parameters:

Definition at line 86 of file hybmcmc.cpp.

Referenced by mcmc_computations().

int function_minimizer::inner_opt ( void ) [static]

Definition at line 38 of file xmodelm3.cpp.

Referenced by end_df1b2_funnel_stuff(), and pre_userfunction().

void function_minimizer::likeprof_routine ( double global_min )

Definition at line 69 of file mod_pmin.cpp.

Referenced by computations1().

void function_minimizer::limited_memory_quasi_newton	(	const independent_variables &	_x,
		int	m
	)

Definition at line 31 of file lmnewton.cpp.

Referenced by laplace_approximation_calculator::get_uhat_lm_newton(), and minimize().

void function_minimizer::limited_memory_quasi_newton	(	const independent_variables &	,
		int	,
		int
	)

void function_minimizer::limited_memory_quasi_newton	(	double &	f,
		const independent_variables &	_x,
		int	m,
		int	noprintx,
		int	maxfn,
		double	crit
	)

Definition at line 231 of file lmnewton.cpp.

void function_minimizer::limited_memory_quasi_newton_block	(	int	nvar,
		int	_crit,
		independent_variables &	x,
		const dvector &	_g,
		const double &	_f,
		int	nsteps
	)

Description not yet available.

Parameters:

Definition at line 23 of file df1b2lmn2.cpp.

Referenced by minimize().

void function_minimizer::mcmc_computations ( void )

Definition at line 391 of file modspmin.cpp.

Referenced by computations1().

void function_minimizer::mcmc_eval ( void )

Description not yet available.

Parameters:

Definition at line 17 of file mceval.cpp.

Referenced by computations().

void function_minimizer::mcmc_routine	(	int	nmcmc,
		int	iseed0,
		double	dscale,
		int	restart_flag
	)

Monte Carlo Markov Chain minimization routine Approximate the target distribution by performing a random walk across parameter space, integrating at each step.

This routine also parses the command line arguments and performs actions for the following ones: -mcdiag Use diagonal covariance matrix with covariance = dscale. -mcrb N Modify covariance matrix to reduce high correlations. 1<=N<=9 where 1=10% and 9=90%. -mcec Read in empirical covariance matrix. This is a file with the program name prepended to extension '.ecm'. -mcpin NAME Read in starting values for MCMC from file NAME. NAME must be a valid ADMB '.par' file. -mcscale Dynamically scales covariance matrix until a reasonable acceptance rate is observed. -nosdmcmc Turn off calculation os sdreport variables during mcsave phase (saves a lot of CPU time). -mcu Use uniform multivariate distributions as bounds, if this is not specified then random normal multivariate distributions will be used. -mcnoscale Don't rescale step size based on acceptance rate. -mcr Continue MCMC from a previous -mcmc call. Uses '.mcm' file to accomplish this. -mcsave N Save parameter values from every Nth simulation instead of every single one. -mcprobe N Use probing strategy, 0.00001<N<=0.499. See the function new_probing_bounded_multivariate_normal() in prmonte.cpp for more detail. -mcgrope Deprecated, equivalent to -mcprobe

Parameters:

int	nmcmc The number of MCMC simulations to run.
int	iseed0 Initial seed value for simulations.
double	dscale Scale value used only if -mcdiag is specified.
int	restart_flag Restart the MCMC, even if -mcr is specified.

Returns:: Nothing.

Definition at line 125 of file xxmcmc.cpp.

Referenced by mcmc_computations().

dvariable function_minimizer::midpnt	(	PMF	,
		double	a,
		double	b,
		int	n
	)

dvariable function_minimizer::midpnt	(	PMF	,
		double	a,
		const dvariable &	b,
		int	n
	)

dvariable function_minimizer::midpnt	(	PMF	,
		const dvariable &	a,
		double	b,
		int	n
	)

dvariable function_minimizer::midpnt	(	PMF	,
		const dvariable &	a,
		const dvariable &	b,
		int	n
	)

void function_minimizer::minimize ( void ) [virtual]

Todo:: What does the -uhess option do?

Definition at line 48 of file xmodelm3.cpp.

Referenced by computations(), and computations1().

void function_minimizer::monte_carlo_routine ( void )

Definition at line 34 of file mod_mc.cpp.

void function_minimizer::multint	(	int	n,
		const dvar_vector &	a,
		const dvar_vector &	b,
		const dvar_vector &	h,
		double	al,
		int	m,
		const dvariable &	e,
		const dvariable &	aint,
		const int &	key,
		PMFVI	f
	)

void function_minimizer::multint4	(	int	n,
		const dvar_vector &	a,
		const dvar_vector &	b,
		const dvar_vector &	h,
		double	al,
		int	m,
		const dvariable &	e,
		const dvariable &	aint1,
		const dvariable &	aint2,
		dvariable &	aint3,
		const dvariable &	aint4,
		const int &	key,
		PMFVIV4	f
	)

virtual void* function_minimizer::mycast ( ) [inline, virtual]

Definition at line 2049 of file admodel.h.

void function_minimizer::neldmead	(	int	n,
		dvector &	_start,
		dvector &	_xmin,
		double *	ynewlo,
		double	reqmin,
		double	delta,
		int *	icount,
		int *	numres,
		int *	ifault
	)

Nelder-Mead simplex alogrithm.

Parameters:

n	Integer
_start	Vector
_xmin	Vector
ynewlo	Double
reqmin	Double
delta	Double
icount	Integer pointer
numres	Integer pointer
ifault	Integer pointer

Definition at line 156 of file amoeba.cpp.

Referenced by minimize().

void function_minimizer::normalize_posterior_distribution	(	double	udet,
		const dvector &	siglevel,
		const ofstream &	ofs2,
		int	num_pp,
		const dvector &	all_values,
		const dmatrix &	actual_value,
		double	global_min,
		int	offset,
		const dmatrix &	lprof,
		const dmatrix &	ldet,
		const dmatrix &	xdist,
		const dmatrix &	penalties
	)

Definition at line 63 of file newmodmn.cpp.

Referenced by likeprof_routine().

virtual void function_minimizer::other_calculations ( void ) [inline, virtual]

Definition at line 1876 of file admodel.h.

Referenced by computations().

void function_minimizer::other_separable_stuff_begin ( void )

Definition at line 683 of file xmodelm3.cpp.

void function_minimizer::other_separable_stuff_end ( void )

Definition at line 699 of file xmodelm3.cpp.

void function_minimizer::pre_user_function ( void )

Description not yet available.

Parameters:

Definition at line 370 of file df1b2lp8.cpp.

Referenced by laplace_approximation_calculator::block_diagonal_calculations(), laplace_approximation_calculator::check_hessian_type(), laplace_approximation_calculator::check_hessian_type2(), and laplace_approximation_calculator::get_newton_raphson_info_block_diagonal().

void function_minimizer::pre_userfunction ( void )

Definition at line 567 of file model7.cpp.

Referenced by depvars_routine(), hess_routine_and_constraint(), hess_routine_noparallel(), limited_memory_quasi_newton_block(), and quasi_newton_block().

void function_minimizer::prof_hess_routine	(	int	ip,
		double	new_value,
		double	final_weight
	)

void function_minimizer::prof_minimize	(	int	iprof,
		double	sigma,
		double	new_value,
		const double &	fprof,
		const int	underflow_flag,
		double	global_min,
		const double &	penalties,
		const double &	final_weight
	)

Definition at line 217 of file newmodm2.cpp.

Referenced by likeprof_routine().

void function_minimizer::prof_minimize_re	(	int	iprof,
		double	sigma,
		double	new_value,
		const double &	fprof,
		const int	underflow_flag,
		double	global_min,
		const double &	penalties,
		const double &	final_weight
	)

Definition at line 16 of file newmodm5.cpp.

Referenced by likeprof_routine().

double function_minimizer::projected_hess_determinant	(	const dvector &	g,
		const int	underflow_flag,
		const dvector &	xscale,
		const double &	ln_det_proj_jac
	)

Definition at line 9 of file nnewmod2.cpp.

double function_minimizer::projected_hess_determinant	(	const dvector &	g,
		const int	underflow_flag
	)

Definition at line 16 of file newmodm2.cpp.

double function_minimizer::projected_hess_determinant	(	const dmatrix &	hh,
		const dvector &	g,
		const int	underflow_flag
	)

double function_minimizer::projected_hess_determinant	(	const dvector &	fg,
		const dvector &	g,
		const int	underflow_flag,
		const dvector &	curvscale,
		const dvector &	xscale,
		double &	ln_det_proj_jac,
		const double &	tmp,
		const dmatrix &	hesses
	)

double function_minimizer::projected_jacobian	(	const dvector &	g,
		const dvector &	xscale
	)

void function_minimizer::pvm_master_function_evaluation	(	double &	f,
		independent_variables &	x,
		const dvector &	g,
		int	nvar
	)

void function_minimizer::pvm_master_function_evaluation_no_derivatives	(	double &	f,
		independent_variables &	x,
		int	nvar
	)

Referenced by minimize().

void function_minimizer::pvm_master_function_evaluation_profile	(	double &	f,
		independent_variables &	x,
		const dvector &	g,
		int	nvar,
		int	iprof,
		double	weight,
		double	new_value
	)

double function_minimizer::pvm_master_get_monte_carlo_value	(	int	nvar,
		const dvector &	x
	)

Definition at line 38 of file mod_mc2.cpp.

Referenced by monte_carlo_routine().

void function_minimizer::pvm_master_mcmc_computations ( void )

Definition at line 488 of file modspmin.cpp.

Referenced by computations1().

void function_minimizer::pvm_master_mcmc_routine	(	int	nmcmc,
		int	iseed0,
		double	dscale,
		int	restart_flag
	)

Referenced by pvm_master_mcmc_computations().

void function_minimizer::pvm_master_prof_minimize	(	int	iprof,
		double	sigma,
		double	new_value,
		const double &	_fprof,
		const int	underflow_flag,
		double	global_min,
		const double &	_penalties,
		const double &	_final_weight
	)