int main(){
ElemType data;
void* pointer = &data;
vector vec = new_vector(pointer,10);
ElemType *pointer2 = (ElemType*)vec.data;
printf("%d\n",pointer2->number);
delete_vector(vec);
return 0;
}
void RungeKuttaSolver::rkqs(double y[], double dydx[], int n, double *x, double htry, double eps, double yscal[], double *hdid, double *hnext, RungeKuttaEquation *Equations[])
{
int i;
double errmax,h,xnew,*yerr,*ytemp;
yerr=new_vector(1,n);
ytemp=new_vector(1,n);
h=htry;
for (;;)
{
rkck(y,dydx,n,*x,h,ytemp,yerr,Equations);
errmax=0.0;
for (i=1;i<=n;i++)
errmax=FMAX(errmax,fabs(yerr[i]/yscal[i]));
errmax /= eps;
if (errmax > 1.0)
{
h=SAFETY*h*pow(errmax,PSHRNK);
if (h < 0.1*h)
h *= 0.1;
xnew=(*x)+h;
if (xnew == *x)
nrerror("stepsize underflow in rkqs");
continue;
}
else
{
if (errmax > ERRCON)
*hnext=SAFETY*h*pow(errmax,PGROW);
else
*hnext=5.0*h;
*x += (*hdid=h);
for (i=1;i<=n;i++)
y[i]=ytemp[i];
break;
}
}
delete_vector(ytemp,1,n);
delete_vector(yerr,1,n);
}
void RungeKuttaSolver::rkck(double y[], double dydx[], int n, double x, double h, double yout[], double yerr[], RungeKuttaEquation *Equations[])
{
int i;
double dc1=c1-2825.0/27648.0;
double dc3=c3-18575.0/48384.0;
double dc4=c4-13525.0/55296.0;
double dc6=c6-0.25;
double *ak2,*ak3,*ak4,*ak5,*ak6,*ytemp;
ak2=new_vector(1,n);
ak3=new_vector(1,n);
ak4=new_vector(1,n);
ak5=new_vector(1,n);
ak6=new_vector(1,n);
ytemp=new_vector(1,n);
for (i = 1; i <= n; i++)
ytemp[i]=y[i]+b21*h*dydx[i];
// (*derivs)(x+a2*h,ytemp,ak2); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= n; i++)
ak2[i] = Equations[i]->GetDerivative(ytemp[i], y[5]);
for (i = 1; i <= n; i++)
ytemp[i]=y[i]+h*(b31*dydx[i]+b32*ak2[i]);
// (*derivs)(x+a3*h,ytemp,ak3); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= n; i++)
ak3[i] = Equations[i]->GetDerivative(ytemp[i], y[5]);
for (i = 1; i <= n; i++)
ytemp[i]=y[i]+h*(b41*dydx[i]+b42*ak2[i]+b43*ak3[i]);
// (*derivs)(x+a4*h,ytemp,ak4); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= n; i++)
ak4[i] = Equations[i]->GetDerivative(ytemp[i], y[5]);
for (i = 1; i <= n; i++)
ytemp[i]=y[i]+h*(b51*dydx[i]+b52*ak2[i]+b53*ak3[i]+b54*ak4[i]);
// (*derivs)(x+a5*h,ytemp,ak5); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= n; i++)
ak5[i] = Equations[i]->GetDerivative(ytemp[i], y[5]);
for (i = 1; i <= n; i++)
ytemp[i]=y[i]+h*(b61*dydx[i]+b62*ak2[i]+b63*ak3[i]+b64*ak4[i]+b65*ak5[i]);
//(*derivs)(x+a6*h,ytemp,ak6); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= n; i++)
ak6[i] = Equations[i]->GetDerivative(ytemp[i], y[5]);
for (i = 1; i <= n; i++)
yout[i]=y[i]+h*(c1*dydx[i]+c3*ak3[i]+c4*ak4[i]+c6*ak6[i]);
for (i = 1; i <= n; i++)
yerr[i]=h*(dc1*dydx[i]+dc3*ak3[i]+dc4*ak4[i]+dc5*ak5[i]+dc6*ak6[i]);
delete_vector(ytemp,1,n);
delete_vector(ak6,1,n);
delete_vector(ak5,1,n);
delete_vector(ak4,1,n);
delete_vector(ak3,1,n);
delete_vector(ak2,1,n);
}
void RungeKuttaSolver::ode_rk(int nvar, double x1, double x2, double eps, double h1, double hmin, int *nok, int *nbad, RungeKuttaEquation *Equations[])
{
int nstp,i;
double xsav, x, hnext, hdid, h; // DJA: h is the current time step value
double *yscal,*y,*dydx;
yscal=new_vector(1,nvar);
y=new_vector(1,nvar);
dydx=new_vector(1,nvar);
x=x1;
h=SIGN(h1,x2-x1);
*nok = (*nbad) = kount = 0;
for (i = 1; i <= nvar ; i++)
y[i] = Equations[i]->InitialY;
if (kmax > 0) xsav=x-dxsav*2.0;
for (nstp=1;nstp<=MAXSTP;nstp++)
{
// (*derivs)(x,y,dydx); DJA: This is the old call which we've replaced with the following two lines
for (i = 1; i <= nvar ; i++)
dydx[i] = Equations[i]->GetDerivative(y[i], y[5]);
for (i=1;i<=nvar;i++)
yscal[i]=fabs(y[i])+fabs(dydx[i]*h)+TINY;
if (kmax > 0 && kount < kmax-1 && fabs(x-xsav) > fabs(dxsav))
{
xp[++kount]=x;
for (i=1;i<=nvar;i++) yp[i][kount]=y[i];
xsav=x;
}
if ((x+h-x2)*(x+h-x1) > 0.0)
h=x2-x;
rkqs(y,dydx,nvar,&x,h,eps,yscal,&hdid,&hnext,Equations);
if (hdid == h)
++(*nok);
else
++(*nbad);
if ((x-x2)*(x2-x1) >= 0.0)
{
for (i=1;i<=nvar;i++)
Equations[i]->InitialY = y[i];
if (kmax)
{
xp[++kount]=x;
for (i=1;i<=nvar;i++)
yp[i][kount]=y[i];
}
delete_vector(dydx,1,nvar);
delete_vector(y,1,nvar);
delete_vector(yscal,1,nvar);
return;
}
// printf("hnext %f hmin %f\n",hnext,hmin);
if (fabs(hnext) <= hmin)
{
nrerror("Step size too small in odeint");
}
h=hnext;
}
nrerror("Too many steps in routine odeint");
}
void delete_datapoint(Datapoint* datapoint){
delete_vector(datapoint->position);
free(datapoint);
}
void delete_centroid(Centroid* centroid){
delete_vector(centroid->center);
free(centroid);
}
void
GraverAPI<T>::compute()
{
check_consistency();
Algorithm <T>* algorithm;
DefaultController <T> * controller;
std::ofstream* log_file = 0;
if (ZSolveAPI<T>::options.loglevel () > 0) {
std::string log_name = ZSolveAPI<T>::options.project () + ".log";
log_file = new std::ofstream (log_name.c_str(), ZSolveAPI<T>::options.resume () ? std::ios::out | std::ios::app : std::ios::out);
}
controller = new DefaultController <T> (&std::cout, log_file, ZSolveAPI<T>::options);
if (ZSolveAPI<T>::mat) {
/// @TODO: transfer rhs, ub, lb, sign and rel.
T* rhs_vec = create_zero_vector <T> (ZSolveAPI<T>::mat->data.height());
if (ZSolveAPI<T>::rhs) {
for (size_t i = 0; i < ZSolveAPI<T>::rhs->data.width(); ++i) {
rhs_vec[i] = ZSolveAPI<T>::rhs->data[0][i];
}
}
LinearSystem <T> * system = new LinearSystem <T> (ZSolveAPI<T>::mat->data, rhs_vec,
ZSolveAPI<T>::free_default,
ZSolveAPI<T>::lower_default,
ZSolveAPI<T>::upper_default);
delete_vector(rhs_vec);
if (ZSolveAPI<T>::sign) {
for (size_t i = 0; i < ZSolveAPI<T>::sign->data.width(); ++i) {
switch (ZSolveAPI<T>::sign->data[0][i]) {
case 0:
system->get_variable(i).set(true);
break;
case 1:
system->get_variable(i).set(false, 0, -1);
break;
case -1:
system->get_variable(i).set(false, 1, 0);
break;
case 2:
system->get_variable(i).set(false);
break;
default:
/// @TODO: The following error message should be more informative.
throw IOException("Unknown sign value.");
}
}
}
if (ZSolveAPI<T>::rel) {
for (size_t i = 0; i < ZSolveAPI<T>::rel->data.width(); ++i) {
switch (ZSolveAPI<T>::rel->data[0][i]) {
case 0:
system->get_relation(i).set(Relation<T> :: Equal);
break;
case 1:
system->get_relation(i).set(Relation<T> :: GreaterEqual);
break;
case -1:
system->get_relation(i).set(Relation<T> :: LesserEqual);
break;
default:
/// @TODO: The following error message should be more informative.
throw IOException("Unknown relation value.");
}
}
}
if (ZSolveAPI<T>::lb) {
for (size_t i = 0; i < ZSolveAPI<T>::lb->data.width(); ++i) {
system->get_variable(i).set_bound(true, ZSolveAPI<T>::lb->data[0][i]);
}
}
if (ZSolveAPI<T>::ub) {
for (size_t i = 0; i < ZSolveAPI<T>::ub->data.width(); ++i) {
system->get_variable(i).set_bound(false, ZSolveAPI<T>::ub->data[0][i]);
}
}
system->cancel_down();
algorithm = new ExtendedPottier <T>;
algorithm->init(system, controller);
delete system;
}
else if (ZSolveAPI<T>::lat) {
/// @TODO: transfer ub, lb, and sign.
Lattice <T> * lattice = new Lattice <T> (& ZSolveAPI<T>::lat->data,
ZSolveAPI<T>::free_default,
ZSolveAPI<T>::lower_default,
ZSolveAPI<T>::upper_default);
if (ZSolveAPI<T>::sign) {
for (size_t i = 0; i < ZSolveAPI<T>::sign->data.width(); ++i) {
switch (ZSolveAPI<T>::sign->data[0][i]) {
case 0:
lattice->get_variable(i).set(true);
break;
case 1:
lattice->get_variable(i).set(false, 0, -1);
break;
case -1:
lattice->get_variable(i).set(false, 1, 0);
break;
case 2:
lattice->get_variable(i).set(false);
break;
default:
/// @TODO: The following error message should be more informative.
throw IOException("Unknown sign value.");
}
}
}
if (ZSolveAPI<T>::lb) {
for (size_t i = 0; i < ZSolveAPI<T>::lb->data.width(); ++i) {
lattice->get_variable(i).set_bound(true, ZSolveAPI<T>::lb->data[0][i]);
}
}
if (ZSolveAPI<T>::ub) {
for (size_t i = 0; i < ZSolveAPI<T>::ub->data.width(); ++i) {
lattice->get_variable(i).set_bound(false, ZSolveAPI<T>::ub->data[0][i]);
}
}
lattice->reduce_gaussian();
algorithm = new ExtendedPottier <T>;
algorithm->init(lattice, controller);
delete lattice;
}
else {
throw IOException ("Neither " + ZSolveAPI<T>::options.project () + ".mat, " +
ZSolveAPI<T>::options.project () + ".lat, nor "
+ ZSolveAPI<T>::options.project () + ".backup found!");
}
// Actual computation starts here.
algorithm->compute (ZSolveAPI<T>::options.backup_frequency ());
algorithm->log_maxnorm ();
extract_results(algorithm);
delete algorithm;
delete controller;
if (log_file) { delete log_file; }
}
