Warning, file /education/step/stepcore/solver.h was not indexed or was modified since last indexation (in which case cross-reference links may be missing, inaccurate or erroneous).

 /*
     SPDX-FileCopyrightText: 2007 Vladimir Kuznetsov <ks.vladimir@gmail.com>
 
     SPDX-License-Identifier: GPL-2.0-or-later
 */
 
 /** \file solver.h
  *  \brief Solver interface
  */
 
 #ifndef STEPCORE_SOLVER_H
 #define STEPCORE_SOLVER_H
 
 #include "object.h"
 #include "vector.h"
 
 namespace StepCore
 {
 
 /** \ingroup solvers
  *  \brief Generic Solver interface
  *  
  *  Provides generic interface suitable for large variety of ordinary
  *  differential equations integration algorithms.
  *
  *  It solves system of the first order differential equations:
  *  \f{eqnarray*}
  *      \frac{dy_i(t)}{dt} &=& f(y_i(t), t) \\
  *      y_i(t_0) &=& y^0_i
  *  \f}
  *
  *  Dimension of system is provided via setDimension(),
  *  function \f$f\f$ is provided via setFunction().
  *
  *  It also provides interface for setting allowed local tolerance.
  *  It can be defined using two properties: toleranceAbs and toleranceRel.
  *
  *  On each step solver calculates local error estimation (which depends on
  *  used integration method) and local error ratio for each variable
  *  using the following formula:
  *  \f[
  *      \mbox{localErrorRatio}_i = \frac{|\mbox{localError}_i|}
  *          {\mbox{toleranceAbs} + \mbox{toleranceRel} \cdot | y_i |}
  *  \f]
  *
  *  Non-adaptive solvers cancel current step if maximal local error ratio is
  *  bigger than 1.1 (exact value depends on solver) and doEvolve() function
  *  returns false.
  *
  *  Adaptive solvers use maximal local error ratio to change time step until
  *  the ratio becomes almost equal 1. If it can't be made smaller than 1.1
  *  (exact value depends on solver), solvers cancel current step and doEvolve()
  *  function returns false. 
  *
  *  Maximal (over all variables) error estimation and error ratio from last
  *  time step can be obtained using localError() and localErrorRatio() methods.
  */
 class Solver: public Object
 {
     //Q_OBJECT
     STEPCORE_OBJECT(Solver)
 
 public:
     /** Callback function type */
     typedef int (*Function)(double t, const double* y, const double* yvar,
                              double* f, double* fvar, void* params);
 
     /** Constructs a solver */
     explicit Solver(int dimension = 0, Function function = nullptr,
                 void* params = nullptr, double stepSize = 0.001);
     /** Constructs a solver */
     explicit Solver(double stepSize);
 
     virtual ~Solver() {}
 
     /** Get solver type */
     QString solverType() const { return metaObject()->className(); }
 
     /** Get ODE dimension */
     int dimension() const { return _dimension; }
     /** Set ODE dimension */
     virtual void setDimension(int dimension) { _dimension = dimension; }
 
     /** Get callback function */
     Function function() const { return _function; }
     /** Set callback function */
     virtual void setFunction(Function function) { _function = function; }
 
     /** Get callback function params */
     void* params() const { return _params; }
     /** Set callback function params */
     virtual void setParams(void* params) { _params = params; }
 
     /** Get step size */
     double stepSize() const { return _stepSize; }
     /** Set step size (solver can adjust it later) */
     virtual void setStepSize(double stepSize) { _stepSize = stepSize; }
 
     /** Get absolute allowed local tolerance */
     double toleranceAbs() const { return _toleranceAbs; }
     /** Set absolute allowed local tolerance */
     virtual void setToleranceAbs(double toleranceAbs) { _toleranceAbs = toleranceAbs; }
 
     /** Get relative allowed local tolerance */
     double toleranceRel() const { return _toleranceRel; }
     /** Set relative allowed local tolerance */
     virtual void setToleranceRel(double toleranceRel) { _toleranceRel = toleranceRel; }
 
     /** Get error estimation from last step */
     double localError() const { return _localError; }
     /** Get local tolerance calculated at last step */
     double localErrorRatio() const { return _localErrorRatio; }
 
     /** Calculate function value */
     virtual int doCalcFn(double* t, const VectorXd* y, const VectorXd* yvar = nullptr,
                             VectorXd* f = nullptr, VectorXd* fvar = nullptr) = 0;
 
     /** Integrate.
      *  \param t Current time (will be updated by the new value)
      *  \param t1 Target time
      *  \param y Function value
      *  \param yvar Function variance
      *  \return Solver::OK on success, error status on failure
      *  \todo Provide error message
      */
     virtual int doEvolve(double* t, double t1, VectorXd* y, VectorXd* yvar) = 0;
 
 public:
     /** Status codes for doCalcFn and doEvolve */
     enum { OK = 0,
            ToleranceError = 2048,
            InternalError = 2049,
            CollisionDetected = 4096,
            IntersectionDetected = 4097,
            Aborted = 8192,
            CollisionError = 16384,
            ConstraintError = 32768
     };
 
 protected:
     int      _dimension;
     Function _function;
     void*    _params;
 
     double   _stepSize;
     double   _toleranceAbs;
     double   _toleranceRel;
     double   _localError;
     double   _localErrorRatio;
 };
 
 inline Solver::Solver(int dimension, Function function, void* params, double stepSize)
      : _dimension(dimension), _function(function), _params(params), _stepSize(stepSize),
        _toleranceAbs(0.001), _toleranceRel(0.001), _localError(0), _localErrorRatio(0)
 {
 }
 
 inline Solver::Solver(double stepSize)
      : _dimension(0), _function(nullptr), _params(nullptr), _stepSize(stepSize),
        _toleranceAbs(0.001), _toleranceRel(0.001), _localError(0), _localErrorRatio(0)
 {
 }
 
 } // namespace StepCore
 
 #endif