#include <odeModel.h>
Data Fields | |
| SBMLDocument_t * | d |
| not-NULL only if the odeModel was directly created from file | |
| Model_t * | m |
| the input SBML reaction network | |
| Model_t * | simple |
| the derived SBML with rate rules | |
| char ** | names |
| All names, i.e. | |
| int | neq |
| number of ODEs | |
| int | nalg |
| number of algebraic rules | |
| int | nass |
| number of assigned variables (nass) | |
| int | nconst |
| number of constant parameters | |
| ASTNode_t ** | assignment |
| Assigned variables: stores species, compartments and parameters, that are set by an assignment rule. | |
| ASTNode_t ** | algebraic |
| Algebraic Rules (constraints) as used for DAE systems. | |
| ASTNode_t ** | ode |
| The Ordinary Differential Equation System (ODE)s: f(x,p,t) = dx/dt. | |
| ASTNode_t *** | jacob |
| The jacobian matrix df(x)/dx of the ODE system neq x neq. | |
| int | jacobian |
| was the jacobian matrix constructed ? | |
| int | nsens |
| number of parameters for sens. | |
| int * | index_sens |
| indexes of parameters in char **names, char *value | |
| ASTNode_t *** | jacob_sens |
| sensitivity matrix: df(x)/dp | |
| int | sensitivity |
| was the sensitivity matrix constructed ? | |
|
|
not-NULL only if the odeModel was directly created from file
|
|
|
the input SBML reaction network
|
|
|
the derived SBML with rate rules
|
|
|
All names, i.e. ODE variables, assigned parameters, and constant parameters |
|
|
number of ODEs
|
|
|
number of algebraic rules
|
|
|
number of assigned variables (nass)
|
|
|
number of constant parameters
|
|
|
Assigned variables: stores species, compartments and parameters, that are set by an assignment rule.
|
|
|
Algebraic Rules (constraints) as used for DAE systems.
|
|
|
The Ordinary Differential Equation System (ODE)s: f(x,p,t) = dx/dt.
|
|
|
The jacobian matrix df(x)/dx of the ODE system neq x neq.
|
|
|
was the jacobian matrix constructed ?
|
|
|
number of parameters for sens. analysis |
|
|
indexes of parameters in char **names, char *value
|
|
|
sensitivity matrix: df(x)/dp
|
|
|
was the sensitivity matrix constructed ?
|
1.4.4