#include <DiffitModel.hpp>

Public Member Functions
	ExperimentSystem (const long _nvar, const long _npar, const long _nobs)
	ExperimentSystem (const ExperimentSystem &ex)
void	updateResidualsFrom (const ExperimentSystem &_sys)
Public Attributes
int *	y0fix
int *	doP
long	nobs
	Number of observed quantities.
long	nvar
	Number of variables/equations.
long	npar
	Number of parameters.
long	nMeasure
	Number of measured data.
double *	xMeasure
	Temporal data points.
double **	sigma
	Standard deviation of data.
double	fitstart
	Fitting range.
double	fitend
long	firstMeasure
	First point in fitting range.
long	lastMeasure
	Last point in fitting range.
long	nPoints
	Number of multiple shooting intervals.
double *	mesh
	Multiple shooting mesh.
long	me
	Number of equality constraints.
long	mg
	Number of inequality constraints.
double	objF
	Current value of the objective function.
double **	h
	Discrepancies/deviation form continuous trajectories.
double **	residues
	Current residues.
double *	r2
	Right-hand side of equality constraints.
double *	r3
	Right-hand side of inequality constraints.
double ***	dyds
	Derivative of the trajectory with respect to intial values inside the multiple shooting interval.
double ***	dydp
	Derivative of the trajectory with respect to parameters inside the multiple shooting interval.
double ***	dmds
	Derivative of the observed quantities with respect to intial values inside the multiple shooting interval.
double ***	dmdp
	Derivative of the observed quantities with respect to parameters inside the multiple shooting interval.
double ***	dR2ds
	Derivative of the equality constraints with respect to intial values inside the multiple shooting interval.
double **	dR2dp
	Derivative of the equality constraints with respect to parameters.
double ***	dR3ds
	Derivative of the inequality constraints with respect to intial values inside the multiple shooting interval.
double **	dR3dp
	Derivative of the inequality constraints with respect to parameters.
double *	ua
	Condensation of the least squares.
double **	Ea
double **	Pa
double *	ue
	Condensation of the equality constraints.
double **	Ee
double **	Pe
double *	ug
	Condensation of the inequality constraints.
double **	Eg
double **	Pg
double *	par
	Parameters.
double **	dS
double *	dP
double *	y0
	Initial value.
double **	yComp
	Predicted trajectory (intergation)
double **	yPred
	Predicted observables (intergation)
double **	yTry
	Initial guesses at mesh points.
double **	yMeasure
	Data of the observations.
char *	fileName
	File name of experiment.
string *	splineFile
double **	splineNodes
	Spline nodes.
double **	splineY
	Value at the spline nodes.
double **	splineGam
	Second derivative at the spline nodes.
unsigned long *	nNodes
	Number of the spline nodes.
int	splinesDefined
	Flag: TRUE if splines are defined.
long	NSPLINES

Detailed Description

ExperimentSystem defines the data for a linear equationset, based on comparison of experiments with model predictions

Member Data Documentation

double*** dmdp

Derivative of the observed quantities with respect to parameters inside the multiple shooting interval.

3-tensor of dimension:

${\bf nMeasure} \times {\bf nobs} \times {\bf npar}$

double*** dmds

Derivative of the observed quantities with respect to intial values inside the multiple shooting interval.

3-tensor of dimension:

${\bf nMeasure} \times {\bf nobs} \times {\bf nvar}$

double* dP

Parameter update

double** dR2dp

Derivative of the equality constraints with respect to parameters.

Matrix of dimension:

${\bf me} \times {\bf npar}$

double*** dR2ds

Derivative of the equality constraints with respect to intial values inside the multiple shooting interval.

3-tensor of dimension:

${\bf me} \times {\bf nPoints} \times {\bf nvar}$

double** dR3dp

Derivative of the inequality constraints with respect to parameters.

Matrix of dimension:

${\bf mg} \times {\bf npar}$

double*** dR3ds

Derivative of the inequality constraints with respect to intial values inside the multiple shooting interval.

3-tensor of dimension:

${\bf mg} \times {\bf nPoints} \times {\bf nvar}$

double** dS

Initial states update

double*** dydp

Derivative of the trajectory with respect to parameters inside the multiple shooting interval.

3-tensor of dimension:

${\bf nPoints} \times {\bf nvar} \times {\bf npar}$

double*** dyds

Derivative of the trajectory with respect to intial values inside the multiple shooting interval.

3-tensor of dimension:

${\bf nPoints} \times {\bf nvar} \times {\bf nvar}$

double** h

Discrepancies/deviation form continuous trajectories.

${\bf h}_{i,j}={\bf yComp}_{i,j}-{\bf yTry}_{i,j}$

Matrix of dimension:

${\bf nPoints}\times{\bf nvar}$

double* mesh

Multiple shooting mesh.

Vector of dimension:

${\bf nPoints}$

long npar

Number of parameters.

${\bf npar}$

long nPoints

Number of multiple shooting intervals.

Command line argument is -nms and not -nPoints !!

long nvar

Number of variables/equations.

${\bf nobs} \le {\bf nvar}$

double* par

Parameters.

Vector of dimension:

${\bf npar}\;,$

where npar is defined in structure Glob.

double* r2

Right-hand side of equality constraints.

Vector of dimension:

${\bf me}$

double* r3

Right-hand side of inequality constraints.

Vector of dimension:

${\bf mg}$

double** residues

Current residues.

$residues_{i,j}=yPred_{i,j}-yMeasure_{i,j}$

Therefore matrix of dimension:

${\bf nMeasure}\times{\bf nobs}$

double** sigma

Standard deviation of data.

Matrix of dimension:

${\bf nMeasure}\times{\bf nobs}$

string* splineFile

Number of observed quantities Name of spline data-file

double* ua

Condensation of the least squares.

$||u_a+E_a \Delta s_0 +P_a \Delta p ||={\bf min}$

double* ue

Condensation of the equality constraints.

$u_e+E_e \Delta s_0 +P_e \Delta p=0$

double* ug

Condensation of the inequality constraints.

$u_g+E_g \Delta s_0 +P_g \Delta p \ge 0$

double* xMeasure

Temporal data points.

Vector of dimension:

${\bf nMeasure}$

double* y0

Initial value.

Vector of dimension:

${\bf nvar}$

double** yComp

Predicted trajectory (intergation)

Matrix of dimension:

${\bf nMeasure}\times{\bf nvar}$

double** yMeasure

Data of the observations.

Matrix of dimension:

${\bf nMeasure}\times{\bf nobs}$

double** yPred

Predicted observables (intergation)

Matrix of dimension:

${\bf nMeasure}\times{\bf nobs}$

double** yTry

Initial guesses at mesh points.

Matrix of dimension:

${\bf nPoints} \times {\bf nvar}$

The documentation for this class was generated from the following file:

DiffitModel.hpp

Public Member Functions

Public Attributes

Detailed Description

Member Data Documentation