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ODEintegrator.h
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184 lines (157 loc) · 7.26 KB
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typedef void (*ODEderivFunc)( double t, int n, double * Ys, double * dYs );
class ODEderivObject{ public:
virtual void getDerivODE( double t, int n, double * Ys, double * dYs ) = 0;
};
// =================================================
// ============ ODEintegrator ===============
// =================================================
class ODEintegrator{
public:
int n;
double t;
double * Y = NULL;
double * dY = NULL;
int MAX_STEPS = 10000;
ODEderivFunc getDerivs = 0;
ODEderivObject* derivObj = 0;
virtual void reallocate( int n_ ){
n = n_;
if( Y != NULL ) delete[] Y; Y = new double[ n ];
if( dY != NULL ) delete[] dY; dY = new double[ n ];
}
void step_euler( double dt ){
getDerivs( t, n, Y, dY );
for (int i=0; i<n; i++){
Y[i] += dY[i] * dt;
}
t+=dt;
}
virtual void step( double dt ){ step_euler( dt ); }
virtual int integrate( double dt, double Tmax ){
int istep=0;
while ( t<Tmax ){
step( dt );
istep++;
if ( istep> MAX_STEPS ){
printf(" ERROR: MAX_STEPS ( %i ) achieved, \n", istep );
break;
}
}
return istep;
}
};
// =================================================
// ============ ODEintegrator_RKF45 ===============
// =================================================
class ODEintegrator_RKF45 : public ODEintegrator{
public:
// constants
const double at [6] = { 0, 1/4.0d, 3/8.0d, 12/13.0d, 1, 1/2.0d };
const double cs1 [6] = { 16/135.0d, 0, 6656/12825.0d, 28561/56430.0d, -9/50.0d, 2/55.0d };
const double cs2 [5] = { 25/216.0d, 0, 1408/2565.0d, 2197/4104.0d, -1/5.0d };
const double
b10 = 1/4.0d,
b20 = 3/32.0d, b21 = 9/32.0d,
b30 = 1932/2197.0d, b31 = -7200/2197.0d, b32 = 7296/2197.0d,
b40 = 439/216.0d, b41 = -8, b42 = 3680/513.0d, b43 = -845/4104.0d,
b50 = -8/27.0d, b51 = 2, b52 = -3544/2565.0d, b53 = 1859/4104.0d, b54 = -11/40.0d;
// axuliary state variables
double *invMaxYerr=NULL;
double *Ynew=NULL, *Yerr=NULL;
double *dY0=NULL, *dY1=NULL, *dY2=NULL, *dY3=NULL, *dY4=NULL, *dY5=NULL;
// adaptive timestep parameters
double SAFETY = 0.2d;
double PGROW = 1.2d;
double PSHRINK = 0.7d;
int MAX_ADAPT = 10;
double dt_min=0.001, dt_max=0.1;
double error;
double dt_adapt=dt_max;
//int substep = 0;
// ================== reallocate =======================
virtual void reallocate( int n_ ){
n = n_;
if( Y != NULL ) delete[] Y; Y = new double[ n ];
if( dY != NULL ) delete[] dY; dY = new double[ n ];
if( dY0 != NULL ) delete[] dY0; dY0 = new double[ n ];
if( dY1 != NULL ) delete[] dY1; dY1 = new double[ n ];
if( dY2 != NULL ) delete[] dY2; dY2 = new double[ n ];
if( dY3 != NULL ) delete[] dY3; dY3 = new double[ n ];
if( dY4 != NULL ) delete[] dY4; dY4 = new double[ n ];
if( dY5 != NULL ) delete[] dY5; dY5 = new double[ n ];
if( Ynew!= NULL ) delete[] Ynew; Ynew= new double[ n ];
if( Yerr!= NULL ) delete[] Yerr; Yerr= new double[ n ];
if( invMaxYerr!= NULL ) delete[] invMaxYerr; invMaxYerr= new double[ n ];
//printf( "reallocad *Y, *dY, *dY0, *dY1, *dY2, *dY3, *dY4, *dY5, *invMaxYerr, *Ynew, *Yerr \n" );
}
// ================== step =======================
inline void save_step(){ for (int i=0; i<n; i++ ){ Y[i] = Ynew[i]; } }
void step_RKF45( double dt ){
// predictor step ( get all derivatives )
//printf( "DEBUG 1.1 \n" );
if( getDerivs ){
getDerivs( t + at[0]*dt, n, Y , dY0 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * b10*dY0[i]; }
getDerivs( t + at[1]*dt, n, Ynew, dY1 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b20*dY0[i] + b21*dY1[i] ); }
getDerivs( t + at[2]*dt, n, Ynew, dY2 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b30*dY0[i] + b31*dY1[i] + b32*dY2[i] ); }
getDerivs( t + at[3]*dt, n, Ynew, dY3 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b40*dY0[i] + b41*dY1[i] + b42*dY2[i] + b43*dY3[i] ); }
getDerivs( t + at[4]*dt, n, Ynew, dY4 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b50*dY0[i] + b51*dY1[i] + b52*dY2[i] + b53*dY3[i] + b54*dY4[i] ); }
getDerivs( t + at[5]*dt, n, Ynew, dY5 );
}else if (derivObj){
derivObj->getDerivODE( t + at[0]*dt, n, Y , dY0 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * b10*dY0[i]; }
derivObj->getDerivODE( t + at[1]*dt, n, Ynew, dY1 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b20*dY0[i] + b21*dY1[i] ); }
derivObj->getDerivODE( t + at[2]*dt, n, Ynew, dY2 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b30*dY0[i] + b31*dY1[i] + b32*dY2[i] ); }
derivObj->getDerivODE( t + at[3]*dt, n, Ynew, dY3 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b40*dY0[i] + b41*dY1[i] + b42*dY2[i] + b43*dY3[i] ); }
derivObj->getDerivODE( t + at[4]*dt, n, Ynew, dY4 ); for (int i = 0; i<n; i++) { Ynew[i] = Y[i] + dt * ( b50*dY0[i] + b51*dY1[i] + b52*dY2[i] + b53*dY3[i] + b54*dY4[i] ); }
derivObj->getDerivODE( t + at[5]*dt, n, Ynew, dY5 );
}
// construct solutions and error estimator
//printf( "DEBUG 1.7 \n" );
for (int i = 0; i < n; i++) {
double dYdt1 = cs1[0]*dY0[i] + cs1[2]*dY2[i] + cs1[3]*dY3[i] + cs1[4]*dY4[i] + cs1[5]*dY5[i];
double dYdt2 = cs2[0]*dY0[i] + cs2[2]*dY2[i] + cs2[3]*dY3[i] + cs2[4]*dY4[i];
Ynew[i] = Y[i] + dt * dYdt1;
Yerr[i] = dt * ( dYdt2 - dYdt1 );
}
//printf( "DEBUG 1.8 \n" );
t +=dt;
}
virtual void step( double dt ){ step_RKF45( dt ); save_step(); }
// ================== adaptive step =======================
void adaptive_step_RKF45( ){
for (int iadapt=0; iadapt<MAX_ADAPT; iadapt++ ){
//printf( "DEBUG 1 \n" );
double tbak = t;
step_RKF45( dt_adapt );
//printf( "DEBUG 2 \n" );
error = 0; for (int i=0; i<n; i++ ){ error = fmax( error, fabs( Yerr[i]*invMaxYerr[i] ) ); }
//printf( "DEBUG 3 \n" );
if ( error < 1 ){
save_step();
if ( error < SAFETY ){ dt_adapt = fmin( dt_adapt * PGROW , dt_max ); }
break;
}else{
t = tbak;
}
//printf( "DEBUG 4 \n" );
dt_adapt = fmax( dt_adapt * PSHRINK, dt_min );
//printf( "DEBUG 5 \n" );
}
}
virtual void adaptive_step( ){ adaptive_step_RKF45(); }
// ============= integrate_adaptive =======
virtual int integrate_adaptive( double dt_start, double Tmax ){
int istep=0;
dt_adapt = dt_start;
while ( t < Tmax ){
//printf( " DEBUG integrate_adaptive i %i t %f dt_adapt %f dt_start %f \n", istep, t, dt_adapt, dt_start );
adaptive_step( );
//printf( " DEBUG Y: " ); for( int i=0; i<n; i++ ){ printf( " %e ", Y[i] ); }; printf( " \n" );
if ( istep> MAX_STEPS ){
printf(" ERROR in integrate_adaptive : MAX_STEPS ( %i ) achieved, dt = %e t= %e error= %e \n", istep, dt_adapt, t, error );
break;
}
istep++;
}
return istep;
}
};