AbstractCvodeSystem.hpp

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*/

#ifdef CHASTE_CVODE
#ifndef _ABSTRACTCVODESYSTEM_HPP_
#define _ABSTRACTCVODESYSTEM_HPP_

#include <vector>
#include <string>
#include <algorithm>

// This is only needed to prevent compilation errors on PETSc 2.2/Boost 1.33.1 combo
#include "UblasVectorInclude.hpp"

// Chaste includes
#include "OdeSolution.hpp"
#include "AbstractParameterisedSystem.hpp"
#include "Exception.hpp"
#include "VectorHelperFunctions.hpp"

// Serialiazation
#include "ChasteSerialization.hpp"
#include <boost/serialization/split_member.hpp>
#include <boost/serialization/vector.hpp>
#include "ClassIsAbstract.hpp"

// CVODE headers
#include <nvector/nvector_serial.h>
#include <sundials/sundials_dense.h> /* definitions DlsMat DENSE_ELEM */

// CVODE changed their dense matrix type...
#if CHASTE_SUNDIALS_VERSION >= 20400
#define CHASTE_CVODE_DENSE_MATRIX DlsMat
#else
#define CHASTE_CVODE_DENSE_MATRIX DenseMat
#endif

class AbstractCvodeSystem : public AbstractParameterisedSystem<N_Vector>
{
private:
    friend class TestAbstractCvodeSystem;

    friend class boost::serialization::access;
    template<class Archive>
    void save(Archive & archive, const unsigned int version) const
    {
        // Despite the fact that 3 of these variables actually live in our base class,
        // we still archive them here to maintain backwards compatibility,
        // this doesn't hurt
        archive & mNumberOfStateVariables;
        archive & mUseAnalyticJacobian;

        if (version >= 1u)
        {
            archive & mHasAnalyticJacobian;
        }

        // Convert from N_Vector to std::vector for serialization
        const std::vector<double> state_vars = MakeStdVec(mStateVariables);
        archive & state_vars;
        const std::vector<double> params = MakeStdVec(mParameters);
        archive & params;
        archive & rGetParameterNames();

        archive & mLastSolutionTime;
        archive & mForceReset;
        archive & mForceMinimalReset;
        archive & mRelTol;
        archive & mAbsTol;
        archive & mMaxSteps;
        archive & mLastInternalStepSize;

        // We don't bother archiving CVODE's internal data, because it is missing then we'll just
        // get a new solver being initialised after a save/load.


        // This is always set up by subclass constructors, and is essentially
        // 'static' data, so shouldn't go in the archive.
        //archive &mpSystemInfo;
    }
    template<class Archive>
    void load(Archive & archive, const unsigned int version)
    {
        archive & mNumberOfStateVariables;
        archive & mUseAnalyticJacobian;

        // This is pretty much what the code was saying before.
        mHasAnalyticJacobian = mUseAnalyticJacobian;
        if (version >= 1u)
        {   // Overwrite if it has been archived though
            archive & mHasAnalyticJacobian;
        }

        std::vector<double> state_vars;
        archive & state_vars;
        CopyFromStdVector(state_vars,mStateVariables);

        std::vector<double> parameters;
        archive & parameters;

        std::vector<std::string> param_names;
        archive & param_names;
        archive & mLastSolutionTime;
        archive & mForceReset;
        archive & mForceMinimalReset;
        archive & mRelTol;
        archive & mAbsTol;
        archive & mMaxSteps;
        archive & mLastInternalStepSize;

        // We don't bother archiving CVODE's internal data, because it is missing then we'll just
        // get a new solver being initialised after a save/load.

        // Do some checking on the parameters
        CheckParametersOnLoad(parameters,param_names);
    }
    BOOST_SERIALIZATION_SPLIT_MEMBER()

    
    void SetupCvode(N_Vector initialConditions,
                    realtype tStart,
                    realtype maxDt);

    void RecordStoppingPoint(double stopTime);

    void FreeCvodeMemory();

    void CvodeError(int flag, const char * msg, const double& rTime,
                    const double& rStartTime, const double& rEndTime);

    N_Vector mLastSolutionState;

    double mLastSolutionTime;

    bool mForceReset;

    bool mForceMinimalReset;

protected:

    bool mHasAnalyticJacobian;

    bool mUseAnalyticJacobian;

    double mRelTol;

    double mAbsTol;

    void* mpCvodeMem;

    long int mMaxSteps;

    double mLastInternalStepSize;

    void Init();

public:

    AbstractCvodeSystem(unsigned numberOfStateVariables);

    virtual ~AbstractCvodeSystem();

    virtual void EvaluateYDerivatives(realtype time,
                                      const N_Vector y,
                                      N_Vector ydot)=0;


    virtual void EvaluateAnalyticJacobian(long int N, realtype time, N_Vector y, N_Vector ydot,
                                          CHASTE_CVODE_DENSE_MATRIX jacobian,
                                          N_Vector tmp1, N_Vector tmp2, N_Vector tmp3)
    {
        EXCEPTION("No analytic Jacobian has been defined for this system.");
    }

    void SetForceReset(bool autoReset);

    void SetMinimalReset(bool minimalReset);

    void ResetSolver();

    OdeSolution Solve(realtype tStart,
                      realtype tEnd,
                      realtype maxDt,
                      realtype tSamp);

    void Solve(realtype tStart,
               realtype tEnd,
               realtype maxDt);

    void SetMaxSteps(long int numSteps);

    long int GetMaxSteps();

    void SetTolerances(double relTol=1e-5, double absTol=1e-7);

    double GetRelativeTolerance();

    double GetAbsoluteTolerance();

    double GetLastStepSize();


    /* NB This needs making into a doxygen comment if you bring the method back in.
     *
     * An alternative approach to stopping events; currently only useful with CVODE.
     * CVODE can search for roots (zeros) of this function while solving the ODE system,
     * and home in on them to find sign transitions to high precision.
     *
     * The default implementation here fakes a root function using CalculateStoppingEvent.
     *
     * @param time  the current time
     * @param rY  the current values of the state variables
     */
//    virtual double CalculateRootFunction(double time, const std::vector<double>& rY);

    bool GetUseAnalyticJacobian() const;

    bool HasAnalyticJacobian() const;

    void ForceUseOfNumericalJacobian(bool useNumericalJacobian = true);

// The following method may be useful to identify problems with the Analytic Jacobians, if anything goes wrong,
// but #1795 seems to have got these working OK, so commented out for now.

//    /*
//     * Compare the calculated analytic jacobian to a numerical approximation, and throw if it looks silly.
//     *
//     * @param time  the current time
//     * @param y  the current state variables
//     * @param jacobian  the analytic jacobian matrix
//     * @param tmp1  working memory of the correct size provided by CVODE for temporary calculations
//     * @param tmp2  working memory of the correct size provided by CVODE for temporary calculations
//     * @param tmp3  working memory of the correct size provided by CVODE for temporary calculations
//     */
//    void CheckAnalyticJacobian(realtype time, N_Vector y, N_Vector ydot,
//                               CHASTE_CVODE_DENSE_MATRIX jacobian,
//                               N_Vector tmp1, N_Vector tmp2, N_Vector tmp3);
};

CLASS_IS_ABSTRACT(AbstractCvodeSystem)
BOOST_CLASS_VERSION(AbstractCvodeSystem, 1u)

#endif //_ABSTRACTCVODESYSTEM_HPP_
#endif // CHASTE_CVODE