SBML_ODESOLVER_API int IntegratorInstance_handleError(integratorInstance_t *engine)
{
  cvodeData_t *data;
  cvodeSettings_t *opt;
  int errorCode;

  if ( SolverError_getNum(ERROR_ERROR_TYPE) == 0 )
    return SolverError_getLastCode(WARNING_ERROR_TYPE);
  
  errorCode = SolverError_getLastCode(ERROR_ERROR_TYPE);
  data = engine->data;
  opt = engine->opt;

  /* if (om->algebraic) ?? */
  /* if (opt->Sensitivity) ?? */
  
  if ( errorCode ) {
        
    /* on flag CV_CONV_FAILURE
       try again, but now with/without generated Jacobian matrix  */
    if ( errorCode == CV_CONV_FAILURE && data->run == 1 &&
	 opt->StoreResults) {
      
      SolverError_error(WARNING_ERROR_TYPE,
			SOLVER_MESSAGE_RERUN_WITH_OR_WO_JACOBIAN,
			"Rerun with %s Jacobian matrix.",
			opt->UseJacobian ?
			"CVODE's internal approximation of the" :
			"automatically generated");

      /* integrate again */
      opt->UseJacobian = !opt->UseJacobian;
      IntegratorInstance_reset(engine);
      return IntegratorInstance_integrate(engine);
    }
  }
  return errorCode;
}
Exemplo n.º 2
0
int doit(int argc, char *argv[])
{
  double i, j ;
  cvodeSettings_t *settings = CvodeSettings_create();
  variableIndex_t *speciesVI, *parameterVI, *parameter2VI;
  integratorInstance_t *integratorInstance;
  char *modelStr, *parameterStr, *parameter2Str, *speciesStr;
  double parameter, parameterEnd, parameterStepSize,
    parameter2, parameter2End, parameter2StepSize,
    errorTolerance, relativeErrorTolerance, endtime, initCond, maxDiff, diff;
  int maximumIntegrationSteps;
  odeModel_t *model ;
        
  if (argc < 11)
  {
    fprintf(
            stderr,
            "usage %s sbml-model variable parameter1 parameter1-start parameter1-end parameter1-step parameter2 parameter2-start parameter2-end parameter2-step [endtime] [error-tolerance] [relative-error-tolerance] [maximum integration steps]\n",
            argv[0]);

    exit(0);
  }

  modelStr = argv[1];
  speciesStr = argv[2];

  parameterStr = argv[3];
  parameter = atof(argv[4]);
  parameterEnd = atof(argv[5]);
  parameterStepSize = atof(argv[6]);
  
  parameter2Str = argv[7];
  parameter2 = atof(argv[8]);
  parameter2End = atof(argv[9]);
  parameter2StepSize = atof(argv[10]);

  if (argc > 12)    
    endtime = atof(argv[11]);
  else 
    endtime = 10000;

  if (argc > 13)
    errorTolerance = atof(argv[12]);
  else
    errorTolerance = 1e-6;

  if (argc > 14)
    relativeErrorTolerance = atof(argv[13]);
  else
    relativeErrorTolerance = 1e-4;

  if (argc > 15)
    maximumIntegrationSteps = atoi(argv[14]);
  else
    maximumIntegrationSteps = 1e9;

  model = ODEModel_createFromFile(modelStr);
  RETURN_ON_ERRORS_WITH(1);

  speciesVI = ODEModel_getVariableIndex(model, speciesStr);
  parameterVI = ODEModel_getVariableIndex(model, parameterStr);
  parameter2VI = ODEModel_getVariableIndex(model, parameter2Str);
  RETURN_ON_ERRORS_WITH(1);

  /* integrate until steady state */
  if ( endtime == 0 )
  {
    /* stop integration upon a steady state */
    CvodeSettings_setIndefinitely(settings, 1);
    CvodeSettings_setSteadyStateThreshold(settings, 1e-9);
    CvodeSettings_setHaltOnSteadyState(settings, 1);
    CvodeSettings_setTime(settings, 1, 1);
  }
  else
  {
    CvodeSettings_setHaltOnSteadyState(settings, 0);
    CvodeSettings_setIndefinitely(settings, 0);
    CvodeSettings_setTime(settings, endtime, 1000);
  }

  /* absolute tolerance in Cvode integration */
  CvodeSettings_setError(settings, errorTolerance);
  /* relative tolerance in Cvode integration */
  CvodeSettings_setRError(settings, relativeErrorTolerance);
  /* maximum step number for CVode integration */
  CvodeSettings_setMxstep(settings, maximumIntegrationSteps);
  /* doesn't stop integration upon an event */
  CvodeSettings_setHaltOnEvent(settings, 0);      
  /* don't Store time course history */
  CvodeSettings_setStoreResults(settings, 0);
  /* compile model */ 
  CvodeSettings_setCompileFunctions(settings, 1); 

    
  integratorInstance = IntegratorInstance_create(model, settings);
    
  printf("set xlabel '%s'\n", ODEModel_getVariableName(model, parameterVI));
  printf("set ylabel '%s'\n", ODEModel_getVariableName(model, parameter2VI));
  printf("splot '-' using 1:2:3 title '%s' with points pointtype 1 pointsize 1 palette\n",
	 ODEModel_getVariableName(model, speciesVI) );


  /* remember initial condition of observed variable */
  initCond = IntegratorInstance_getVariableValue(integratorInstance, speciesVI);
  maxDiff = 0.0;

  
  int error = 0 ;
  int run = 0;
  for ( run=0; run<2; run++ )
  {
    for (i = parameter; i <= parameterEnd; i += parameterStepSize)
    {
      for (j = parameter2; j <= parameter2End; j += parameter2StepSize)
      {
	/* add fourth parameter here */

	IntegratorInstance_reset( integratorInstance);
	RETURN_ON_ERRORS_WITH(1);

	/* for the second run reset the initial condition of the
	   observed variable to a multiple of the maximum observed
	   difference of its value wrt to its initial condition */
	if ( run == 1 )
	  IntegratorInstance_setVariableValue(integratorInstance,
					      speciesVI,
					      fabs(5*(initCond-maxDiff)));
	
	IntegratorInstance_setVariableValue(integratorInstance,
					  parameterVI, i);
	IntegratorInstance_setVariableValue(integratorInstance,
					    parameter2VI, j);
        /* printf("ic %g\t", IntegratorInstance_getVariableValue(integratorInstance, speciesVI)); */

	while(!IntegratorInstance_checkSteadyState(integratorInstance) &&
	      !IntegratorInstance_timeCourseCompleted(integratorInstance) )
	{
	  IntegratorInstance_integrateOneStep(integratorInstance);
	  
	  if (SolverError_getNum(ERROR_ERROR_TYPE) ||
	      SolverError_getNum(FATAL_ERROR_TYPE))
	  {
	    fprintf(stderr,
		    "ERROR at parameter 1 = %g, parameter 2 = %g\n", i, j);
	    DumpErrors();
	    error++;	  
	  }
	  
	}
        /* printf("end %g\n", IntegratorInstance_getVariableValue(integratorInstance, speciesVI)); */
	
	/* check whether the final value has largest difference to initial condition */
	diff =  fabs(initCond - IntegratorInstance_getVariableValue(integratorInstance, speciesVI));
	if ( diff > maxDiff ) maxDiff = diff;
	DumpState(integratorInstance, parameterVI, parameter2VI, speciesVI);
      }
    }
  }
  
  printf("end\n");
  /* printf("end\n init %g, MAX DIFF %g, abs %g\n", initCond, maxDiff, fabs(initCond-maxDiff)); */
  

  
  
  if ( error ) printf("\t%d errors occured\n", error);
  IntegratorInstance_free(integratorInstance);
  VariableIndex_free(parameterVI);
  VariableIndex_free(parameter2VI);
  VariableIndex_free(speciesVI);
  ODEModel_free(model);
  CvodeSettings_free(settings);
  
  return 0;
}
Exemplo n.º 3
0
int
main (int argc, char *argv[]){
  int i;
  
  odeModel_t *om;
  cvodeSettings_t *set;
  integratorInstance_t *ii;
  variableIndex_t *p;
  int flag;
   
  /* Setting SBML ODE Solver integration parameters  */
  set = CvodeSettings_create();
  CvodeSettings_setTime(set, 1000, 10);
  CvodeSettings_setErrors(set, 1e-15, 1e-8, 1e4);
  CvodeSettings_setMethod(set, 0, 5);
  /*   CvodeSettings_setStoreResults(set, 0); */
  CvodeSettings_setJacobian(set, 1); /* for testing only */
  CvodeSettings_setCompileFunctions(set, 0); /* for testing only */

 
  /* creating the odeModel */
  om = ODEModel_createFromFile("MAPK.xml");
  ii = IntegratorInstance_create(om, set);
  

  /* ACTIVATE SENSITIVITY ANALYSIS */
  CvodeSettings_setSensitivity(set, 1);
  /* 0: simultaneous 1: staggered, 2: staggered1
     see CVODES user guide for details */
  CvodeSettings_setSensMethod(set, 0);

  /* ACTIVATE ADJOINT ANALYSIS */
  CvodeSettings_setDoAdj(set);
  CvodeSettings_setAdjTime(set, 1000, 100);
  CvodeSettings_setAdjErrors(set, 1e-15, 1e-8);
  CvodeSettings_setnSaveSteps(set, 1000);

  printf("Try 3 integrations with selected parameters/ICs!\n");
  char *sensIDTest[4];  
  sensIDTest[0] = "MAPK";
  sensIDTest[2] = "MAPK_P";
  sensIDTest[1] = "K1";
  sensIDTest[3] = "Ki";
  CvodeSettings_setSensParams(set, sensIDTest, 4);

  fprintf(stdout, "\n\nReading in linear objective function from: 'MAPK.linobjfun'\n");
  fprintf(stdout, "Demonstration of forward/adjoint sensitivity (near) equivalence. \n\n");

  /* Initially, only linear objective is present */
  flag = IntegratorInstance_setLinearObjectiveFunction(ii, "MAPK.linobjfun");
  if (flag!=1)
    return(EXIT_FAILURE);  

  /* reset integrator to new settings */
  IntegratorInstance_reset(ii);
  
  /* get a parameter for which we will check sensitivities */
  p = ODEModel_getVariableIndex(om, "K1");  
   
  i = 0;
  while ( i < 4 ) {

   /*  if ( i == 2) break; */
    /* Set nonlinear objective function after 2 loops  */
    if ( i == 2)
    {
      fprintf(stdout, "\nReading in nonlinear objective now: 'MAPK.objfun'\n\n");
      flag = IntegratorInstance_setObjectiveFunction(ii, "MAPK.objfun");
      if (flag!=1)
	return(EXIT_FAILURE);
    }

    IntegratorInstance_reset(ii);
    
    while( !IntegratorInstance_timeCourseCompleted(ii) )
     if ( !IntegratorInstance_integrateOneStep(ii) )
       break;
    printf("\nIntegration time was %g\n\n",
	 IntegratorInstance_getIntegrationTime(ii));
     

    /*  IntegratorInstance_dumpData(ii); */
    printf("Param default: %s\n", ODEModel_getVariableName(om, p));
    IntegratorInstance_dumpPSensitivities(ii, p);

    flag = IntegratorInstance_CVODEQuad(ii);
    if (flag!=1)
	return(EXIT_FAILURE);

    if ( i < 2)
      fprintf(stdout, "\n### Printing Forward Sensitivities\n");
    else
      fprintf(stdout, "\n### Printing Objective Function (since nonlinear objective is present)\n");  

     
    flag = IntegratorInstance_printQuad(ii, stdout);


    if (flag!=1)
	return(EXIT_FAILURE);

     /* Now go into adjoint phase */   
    IntegratorInstance_resetAdjPhase(ii);
    /* Adjoint phase */
    while( !IntegratorInstance_timeCourseCompleted(ii) )
      if ( !IntegratorInstance_integrateOneStep(ii) )
	break;
    printf("\nIntegration time was %g\n\n",
	   IntegratorInstance_getIntegrationTime(ii));
    
    /* Print out adjoint soln */
    IntegratorInstance_dumpAdjData(ii);

    /* adjoint quadrature */
    flag = IntegratorInstance_CVODEQuad(ii);
     if (flag!=1) 
      return(EXIT_FAILURE);

    fprintf(stdout, "\n### Printing Adjoint Sensitivities: int_0^T <df/dp, psi> dt\n");
    flag = IntegratorInstance_printQuad(ii, stdout);
    if (flag!=1)
	return(EXIT_FAILURE); 


    fprintf(stdout, "\n############# DONE RUN NUMBER %d  #############\n", i); 
    i++;
  }
  
  /*   VariableIndex_free(y); */
  VariableIndex_free(p);
  /* now we have the results and can free the inputs */
  IntegratorInstance_free(ii);
  CvodeSettings_free(set);
  ODEModel_free(om);

  return (EXIT_SUCCESS);  
}
Exemplo n.º 4
0
int
main (int argc, char *argv[]){
  int i, j;
  
  odeModel_t *om;
  cvodeSettings_t *set;
  integratorInstance_t *ii;
  cvodeResults_t *results;
  variableIndex_t *y, *p;

   
  /* Setting SBML ODE Solver integration parameters  */
  set = CvodeSettings_create();
  CvodeSettings_setTime(set, 300.0, 10);
  CvodeSettings_setErrors(set, 1e-9, 1e-4, 1e9);
  /* ACTIVATE SENSITIVITY ANALYSIS */
  CvodeSettings_setSensitivity(set, 1);
  /* 0: simultaneous 1: staggered, 2: staggered1
     see CVODES user guide for details */
  CvodeSettings_setSensMethod(set, 0);
  CvodeSettings_setJacobian(set, 1); /* for testing only */
  /* CvodeSettings_dump(set); */
  
  /* creating the odeModel */
  om = ODEModel_createFromFile("MAPK.xml");
  /* get a parameter for which we will check sensitivities */
  p = ODEModel_getVariableIndex(om, "K1");
  /* calling the integrator */
  ii = IntegratorInstance_create(om, set);

  printf("### Printing Sensitivities to %s (%g) on the fly:\n",
	 ODEModel_getVariableName(om, p),
	 IntegratorInstance_getVariableValue(ii, p));
  
  printf("#time  ");
  IntegratorInstance_dumpNames(ii);

  IntegratorInstance_dumpPSensitivities(ii, p);

  while( !IntegratorInstance_timeCourseCompleted(ii) ) {
     if ( !IntegratorInstance_integrateOneStep(ii) ) {
      break;
     }
     IntegratorInstance_dumpPSensitivities(ii, p);
  }

  VariableIndex_free(p);
  
  
  if ( SolverError_getNum(FATAL_ERROR_TYPE) ) {
    printf("Integration not sucessful!\n");
    SolverError_dumpAndClearErrors();
    return(EXIT_FAILURE);
  }


  y = ODEModel_getVariableIndex(om, "MAPK_P"); 
  printf("\nLet's look at a specific ODE variable:\n");
  /* print sensitivities again, but now from stored results */
  printf("### RESULTS for Sensitivity Analysis for one ODE variable\n");
  printf("#time  Variable  Sensitivity Params...\n");
  printf("#time  ");
  printf("%s  ", ODEModel_getVariableName(om, y));
  for ( j=0; j<ODEModel_getNsens(om); j++ ) {
    p = ODEModel_getSensParamIndexByNum(om, j);
    printf("%s ", ODEModel_getVariableName(om, p));
    VariableIndex_free(p);
  }
  printf("\n");

  results = IntegratorInstance_createResults(ii);
 
  for ( i=0; i<CvodeResults_getNout(results); i++ ) {
    printf("%g  ", CvodeResults_getTime(results, i));
    printf("%g  ", CvodeResults_getValue(results, y, i));
    for ( j=0; j<ODEModel_getNsens(om); j++ ) {
      p = ODEModel_getSensParamIndexByNum(om, j);
      printf("%g ", CvodeResults_getSensitivity(results, y, p, i));
      VariableIndex_free(p);
    }
    printf("\n");
  }

 /*  drawSensitivity(ii->data, "sensitivity", "ps", 0.9); */
  p = ODEModel_getVariableIndex(om, "V1");
  printf("\nWhat do sensitivities mean? Let's try out!\n\n");
  printf("... add 1 to %s:  %g + 1 = ",
	 ODEModel_getVariableName(om, p),
	 IntegratorInstance_getVariableValue(ii, p));
  
  
  CvodeSettings_setSensitivity(set, 0);
  IntegratorInstance_reset(ii);
  IntegratorInstance_setVariableValue(ii, p,
		     IntegratorInstance_getVariableValue(ii,p)+1);
  printf("%g\n", IntegratorInstance_getVariableValue(ii, p));
  
  printf("... and integrate again:\n\n");

  CvodeResults_free(results);
  IntegratorInstance_integrate(ii); 
  results = IntegratorInstance_createResults(ii);

  /* and print changed results */
  printf("#time  %s\n", ODEModel_getVariableName(om, y));
  for ( i=0; i<CvodeResults_getNout(results); i++ ) {
    printf("%g  ", CvodeResults_getTime(results, i));
    printf("%g\n", CvodeResults_getValue(results, y, i));
  }
  
  printf("\nSee the difference?\n");
  printf("Look what happens when the sensitivity changes its sign\n");
  printf("between times 180 and 210.\n\n");

  VariableIndex_free(y);
  VariableIndex_free(p);
  /* now we have the results and can free the inputs */
  IntegratorInstance_free(ii);
  CvodeSettings_free(set);
  CvodeResults_free(results);
  ODEModel_free(om);

  return (EXIT_SUCCESS);  
}
Exemplo n.º 5
0
int
main (int argc, char *argv[])
{
    int i, j, k;
    int neq, nsens;
    odeModel_t *om;
    odeSense_t *os;
    cvodeSettings_t *set;
    integratorInstance_t *ii;

    variableIndex_t *p1, *p2, *p3, *vi;
    double *weights;

    /* Setting SBML ODE Solver integration parameters  */
    set = CvodeSettings_create();
    CvodeSettings_setTime(set, 30, 10);
    CvodeSettings_setErrors(set, 1e-15, 1e-10, 1e9);
    CvodeSettings_setMethod(set, 0, 5);
    /*   CvodeSettings_setStoreResults(set, 0); */
    CvodeSettings_setJacobian(set, 1);         /* for testing only */
    CvodeSettings_setCompileFunctions(set, 0); /* for testing only */
    /* CvodeSettings_dump(set); */
    CvodeSettings_setFIM(set);                 /* ACTIVATE FIM */

    /* creating the odeModel */
    om = ODEModel_createFromFile("MAPK.xml");
    ii = IntegratorInstance_create(om, set);

    printf("\nFirst try a few integrations without sensitivity\n");
    IntegratorInstance_dumpNames(ii);
    printf("\n");
    for ( i=0; i<2; i++ )
    {
        printf("Run #%d:\n", i);
        IntegratorInstance_integrate(ii);
        /*     IntegratorInstance_dumpData(ii); */
        IntegratorInstance_printResults(ii, stderr);
        IntegratorInstance_reset(ii);
        printf("finished\n\n");
    }

    /* ACTIVATE SENSITIVITY ANALYSIS */

    CvodeSettings_setSensitivity(set, 1);
    /* 0: simultaneous 1: staggered, 2: staggered1
       see CVODES user guide for details */
    CvodeSettings_setSensMethod(set, 0);

    /* reset integrator to new settings */
    IntegratorInstance_reset(ii);

    printf("Now Activate Sensitivity\n\n");

    os = IntegratorInstance_getSensitivityModel(ii);
    nsens = ODESense_getNsens(os);

    printf("nsens  = %i\n\n", nsens);
    for ( i=0; i<nsens; i++ ) {
        vi = ODESense_getSensParamIndexByNum(os, i);
        printf("%s\n", ODEModel_getVariableName(om, vi) );
        VariableIndex_free(vi);
    }

    printf("\n");
    printf("sensitivities calculated for all constants\n");

    p1 = ODESense_getSensParamIndexByNum(os, 1);
    p2 = ODESense_getSensParamIndexByNum(os, 2);
    p3 = ODESense_getSensParamIndexByNum(os, 3);
    printf("sensitivities printed for constants %s, %s, %s\n\n",
           ODEModel_getVariableName(om, p1),
           ODEModel_getVariableName(om, p2),
           ODEModel_getVariableName(om, p3));

    /* create non-default weights for computation of FIM */
    /* weights should be extracted from objective function! */

    neq = ODEModel_getNeq(om);

    ASSIGN_NEW_MEMORY_BLOCK(weights, neq, double, 0);
    for ( i=0; i<neq; i++ )
        weights[i] = 1.;

    /* set weights (to non-default values) */
    IntegratorInstance_setFIMweights(ii, weights, neq);

    /* *** *** *** *** *** *** discrete data *** *** *** *** *** *** *** */
    CvodeSettings_setDiscreteObservation(set);
    printf("DISCRETE DATA\n\n");

    i = 0;
    while ( i < 2 )
    {
        printf("Run #%d:\n", i);
        while( !IntegratorInstance_timeCourseCompleted(ii) )
        {
            IntegratorInstance_dumpPSensitivities(ii, p1);
            IntegratorInstance_dumpPSensitivities(ii, p2);
            IntegratorInstance_dumpPSensitivities(ii, p3);
            if ( !IntegratorInstance_integrateOneStep(ii) )
                break;
        }
        IntegratorInstance_dumpPSensitivities(ii, p1);
        IntegratorInstance_dumpPSensitivities(ii, p2);
        IntegratorInstance_dumpPSensitivities(ii, p3);

        fprintf(stderr, "FIM =\n");
        for ( j=0; j<nsens; j++ )
        {
            for ( k=0; k<nsens; k++ )
                fprintf(stderr, "%g ", IntegratorInstance_getFIM(ii,j,k));
            fprintf(stderr, "\n");
        }
        fprintf(stderr, "\n");

        IntegratorInstance_reset(ii);

        i++;
    }

    /* *** *** *** *** *** *** continuous data *** *** *** *** *** *** *** */
    CvodeSettings_unsetDiscreteObservation(set);
    printf("CONTINUOUS DATA\n\n");

    i = 0;
    while ( i < 2 )
    {
        printf("Run #%d:\n", i);
        while( !IntegratorInstance_timeCourseCompleted(ii) )
        {
            IntegratorInstance_dumpPSensitivities(ii, p1);
            IntegratorInstance_dumpPSensitivities(ii, p2);
            IntegratorInstance_dumpPSensitivities(ii, p3);
            if ( !IntegratorInstance_integrateOneStep(ii) )
                break;
        }
        IntegratorInstance_dumpPSensitivities(ii, p1);
        IntegratorInstance_dumpPSensitivities(ii, p2);
        IntegratorInstance_dumpPSensitivities(ii, p3);

        /* calculate FIM */
        IntegratorInstance_CVODEQuad(ii);

        fprintf(stderr, "FIM =\n");
        for ( j=0; j<nsens; j++ )
        {
            for ( k=0; k<nsens; k++ )
                fprintf(stderr, "%g ", IntegratorInstance_getFIM(ii,j,k));
            fprintf(stderr, "\n");
        }
        fprintf(stderr, "\n");

        IntegratorInstance_reset(ii);

        i++;
    }

    fprintf(stderr, "finished\n");

    /*   VariableIndex_free(y); */
    VariableIndex_free(p1);
    VariableIndex_free(p2);
    VariableIndex_free(p3);
    free(weights);

    /* now we have the results and can free the inputs */
    IntegratorInstance_free(ii);
    CvodeSettings_free(set);
    ODEModel_free(om);

    return (EXIT_SUCCESS);
}