Exemplo n.º 1
0
void praxis( int n, double *x, int *data, double (*funct)(double *, void *data), double *in, double *out) {

	int illc,i,j,k,k2,nl,maxf,nf,kl,kt,ktm,emergency;
	double s,sl,dn,dmin,fx,f1,lds,ldt,sf,df,qf1,qd0,qd1,qa,qb,qc,m2,m4,
			small,vsmall,large,vlarge,scbd,ldfac,t2,macheps,reltol,
			abstol,h,**v,*d,*y,*z,*q0,*q1,**a,em[8],l;

	/*
	 *  Seed random number generator
	 */
#ifdef MSWIN
	srand(34084320);
#else
	srand48(34084320);
#endif

//	for (i=0; i<8; ++i) x[i+1] = (double)data->x[i];
	d=allocate_real_vector(1,n);
	y=allocate_real_vector(1,n);
	z=allocate_real_vector(1,n);
	q0=allocate_real_vector(1,n);
	q1=allocate_real_vector(1,n);
	v=allocate_real_matrix(1,n,1,n);
	a=allocate_real_matrix(1,n,1,n);

    //  heuristic numbers:
    //
    //  If the axes may be badly scaled (which is to be avoided if
    //  possible), then set scbd = 10.  otherwise set scbd=1.
    //
    //  If the problem is known to be ill-conditioned, set ILLC = true.
    //
    //  KTM is the number of iterations without improvement before the
    //  algorithm terminates.  KTM = 4 is very cautious; usually KTM = 1
    //  is satisfactory.
    //

	macheps=in[0];
	reltol=in[1];
	abstol=in[2];
	maxf=in[5];
	h=in[6];
	scbd=in[7];
	ktm=in[8];
	illc = in[9] < 0.0;
	small=macheps*macheps;
	vsmall=small*small;
	large=1.0/small;
	vlarge=1.0/vsmall;
	m2=reltol;
	m4=sqrt(m2);
	srand(1);
	ldfac = (illc ? 0.1 : 0.01);
	kt=nl=0;
	nf=1;
	out[3]=qf1=fx=(*funct)(x, data);
	abstol=t2=small+fabs(abstol);
	dmin=small;
	if (h < abstol*100.0) h=abstol*100;
	ldt=h;
	inimat(1,n,1,n,v,0.0);
	for (i=1; i<=n; i++) v[i][i]=1.0;
	d[1]=qd0=qd1=0.0;
	dupvec(1,n,0,q1,x);
	inivec(1,n,q0,0.0);
	emergency=0;

	while (1) {
		sf=d[1];
		d[1]=s=0.0;
		praxismin(1,2,&(d[1]),&s,&fx,0,
					n,x,v,&qa,&qb,&qc,qd0,qd1,q0,q1,&nf,
					&nl,&fx,m2,m4,dmin,ldt,reltol,abstol,small,h,funct, data);
		if (s <= 0.0) mulcol(1,n,1,1,v,v,-1.0);
		if (sf <= 0.9*d[1] || 0.9*sf >= d[1]) inivec(2,n,d,0.0);
		for (k=2; k<=n; k++) {
			dupvec(1,n,0,y,x);
			sf=fx;
			illc = (illc || kt > 0);
			while (1) {
				kl=k;
				df=0.0;
				if (illc) {
					/* random stop to get off resulting valley */
					for (i=1; i<=n; i++) {
						s=z[i]=(0.1*ldt+t2*pow(10.0,kt))*
#ifdef MSWIN
									((double)(rand())/RAND_MAX-0.5);
#else
									(drand48()-0.5);
#endif
						elmveccol(1,n,i,x,v,s);
					}
					fx=(*funct)(x, data);
					nf++;
				}
				for (k2=k; k2<=n; k2++) {
					sl=fx;
					s=0.0;
					praxismin(k2,2,&(d[k2]),&s,&fx,0,
						n,x,v,&qa,&qb,&qc,qd0,qd1,q0,q1,&nf,
						&nl,&fx,m2,m4,dmin,ldt,reltol,abstol,small,h,funct, data);
					s = illc ? d[k2]*(s+z[k2])*(s+z[k2]) : sl-fx;
					if (df < s) {
						df=s;
						kl=k2;
					}
				}
				if (!illc && df < fabs(100.0*macheps*fx))
					illc=1;
				else
					break;
			}
			for (k2=1; k2<=k-1; k2++) {
				s=0.0;
				praxismin(k2,2,&(d[k2]),&s,&fx,0,
					n,x,v,&qa,&qb,&qc,qd0,qd1,q0,q1,&nf,
					&nl,&fx,m2,m4,dmin,ldt,reltol,abstol,small,h,funct, data);
			}
			f1=fx;
			fx=sf;
			lds=0.0;
			for (i=1; i<=n; i++) {
				sl=x[i];
				x[i]=y[i];
				y[i] = sl -= y[i];
				lds += sl*sl;
			}
			lds=sqrt(lds);
			if (lds > small) {
				for (i=kl-1; i>=k; i--) {
					for (j=1; j<=n; j++) v[j][i+1]=v[j][i];
					d[i+1]=d[i];
				}
				d[k]=0.0;
				dupcolvec(1,n,k,v,y);
				mulcol(1,n,k,k,v,v,1.0/lds);
				praxismin(k,4,&(d[k]),&lds,&f1,1,
					n,x,v,&qa,&qb,&qc,qd0,qd1,q0,q1,&nf,
					&nl,&fx,m2,m4,dmin,ldt,reltol,abstol,small,h,funct, data);
				if (lds <= 0.0) {
					lds = -lds;
					mulcol(1,n,k,k,v,v,-1.0);
				}
			}
			ldt *= ldfac;
			if (ldt < lds) ldt=lds;
			t2=m2*sqrt(vecvec(1,n,0,x,x))+abstol;
			kt = (ldt > 0.5*t2) ? 0 : kt+1;
			if (kt > ktm) {
				out[1]=0.0;
				emergency=1;
			}
		}
		if (emergency) break;
		/* quad */
		s=fx;
		fx=qf1;
		qf1=s;
		qd1=0.0;
		for (i=1; i<=n; i++) {
			s=x[i];
			x[i]=l=q1[i];
			q1[i]=s;
			qd1 += (s-l)*(s-l);
		}
		l=qd1=sqrt(qd1);
		s=0.0;
		if ((qd0*qd1 > DBL_MIN) && (nl >=3*n*n)) {
			praxismin(0,2,&s,&l,&qf1,1,
					n,x,v,&qa,&qb,&qc,qd0,qd1,q0,q1,&nf,
					&nl,&fx,m2,m4,dmin,ldt,reltol,abstol,small,h,funct, data);
			qa=l*(l-qd1)/(qd0*(qd0+qd1));
			qb=(l+qd0)*(qd1-l)/(qd0*qd1);
			qc=l*(l+qd0)/(qd1*(qd0+qd1));
		} else {
			fx=qf1;
			qa=qb=0.0;
			qc=1.0;
		}
		qd0=qd1;
		for (i=1; i<=n; i++) {
			s=q0[i];
			q0[i]=x[i];
			x[i]=qa*s+qb*x[i]+qc*q1[i];
		}
		/* end of quad */
		dn=0.0;
		for (i=1; i<=n; i++) {
			d[i]=1.0/sqrt(d[i]);
			if (dn < d[i]) dn=d[i];
		}
		for (j=1; j<=n; j++) {
			s=d[j]/dn;
			mulcol(1,n,j,j,v,v,s);
		}
		if (scbd > 1.0) {
			s=vlarge;
			for (i=1; i<=n; i++) {
				sl=z[i]=sqrt(mattam(1,n,i,i,v,v));
				if (sl < m4) z[i]=m4;
				if (s > sl) s=sl;
			}
			for (i=1; i<=n; i++) {
				sl=s/z[i];
				z[i]=1.0/sl;
				if (z[i] > scbd) {
					sl=1.0/scbd;
					z[i]=scbd;
				}
				mulrow(1,n,i,i,v,v,sl);
			}
		}
		for (i=1; i<=n; i++) ichrowcol(i+1,n,i,i,v);
		em[0]=em[2]=macheps;
		em[4]=10*n;
		em[6]=vsmall;
		dupmat(1,n,1,n,a,v);
		if (qrisngvaldec(a,n,n,d,v,em) != 0) {
			out[1]=2.0;
			emergency=1;
		}
		if (emergency) break;
		if (scbd > 1.0) {
			for (i=1; i<=n; i++) mulrow(1,n,i,i,v,v,z[i]);
			for (i=1; i<=n; i++) {
				s=sqrt(tammat(1,n,i,i,v,v));
				d[i] *= s;
				s=1.0/s;
				mulcol(1,n,i,i,v,v,s);
			}
		}
		for (i=1; i<=n; i++) {
			s=dn*d[i];
			d[i] = (s > large) ? vsmall :
						((s < small) ? vlarge : 1.0/(s*s));
		}
		/* sort */
		for (i=1; i<=n-1; i++) {
			k=i;
			s=d[i];
			for (j=i+1; j<=n; j++)
				if (d[j] > s) {
					k=j;
					s=d[j];
				}
			if (k > i) {
				d[k]=d[i];
				d[i]=s;
				for (j=1; j<=n; j++) {
					s=v[j][i];
					v[j][i]=v[j][k];
					v[j][k]=s;
				}
			}
		}
		/* end of sort */
		dmin=d[n];
		if (dmin < small) dmin=small;
		illc = (m2*d[1]) > dmin;
		if (nf >= maxf) {
			out[1]=1.0;
			break;
		}
	}
	out[2]=fx;
	out[4]=nf;
	out[5]=nl;
	out[6]=ldt;
	free_real_vector(d,1);
	free_real_vector(y,1);
	free_real_vector(z,1);
	free_real_vector(q0,1);
	free_real_vector(q1,1);
	free_real_matrix(v,1,n,1);
	free_real_matrix(a,1,n,1);

//	for (i=0; i<40; ++i) data->x[i] = (double)x[i+1];

}
Exemplo n.º 2
0
real_t flemin(int n, real_t x[], real_t g[], real_t h[],
					real_t (*funct)(int, real_t[], real_t[]),
					real_t in[], real_t out[])
{
	real_t *allocate_real_vector(int, int);
	void free_real_vector(real_t *, int);
	real_t vecvec(int, int, int, real_t [], real_t []);
	void elmvec(int, int, int, real_t [], real_t [], real_t);
	real_t symmatvec(int, int, int, real_t [], real_t []);
	void inivec(int, int, real_t [], real_t);
	void inisymd(int, int, int, real_t [], real_t);
	void mulvec(int, int, int, real_t [], real_t [], real_t);
	void dupvec(int, int, int, real_t [], real_t []);
	void linemin(int, real_t [], real_t [], real_t, real_t *, real_t [],
					real_t (*)(int, real_t[], real_t[]), real_t, real_t *,
					real_t, real_t *, int *, int, real_t []);
	void davupd(real_t [], int, real_t [], real_t [], real_t, real_t);
	void fleupd(real_t [], int, real_t [], real_t [], real_t, real_t);
	int i,it,cntl,evl,evlmax;
	real_t f,f0,fmin,mu,dg,dg0,nrmdelta,alfa,reltol,abstol,eps,tolg,
			aid,*v,*delta,*s;

	v=allocate_real_vector(1,n);
	delta=allocate_real_vector(1,n);
	s=allocate_real_vector(1,n);

	reltol=in[1];
	abstol=in[2];
	mu=in[3];
	tolg=in[4];
	fmin=in[5];
	alfa=in[6];
	evlmax=in[7];
	out[4]=0.0;
	it=0;
	f=(*funct)(n,x,g);
	evl=1;
	cntl=0;
	if (alfa > 0.0) {
		inivec(1,(n*(n+1))/2,h,0.0);
		inisymd(1,n,0,h,alfa);
	}
	for (i=1; i<=n; i++) delta[i] = -symmatvec(1,n,i,h,g);
	dg=sqrt(vecvec(1,n,0,g,g));
	nrmdelta=sqrt(vecvec(1,n,0,delta,delta));
	eps=sqrt(vecvec(1,n,0,x,x))*reltol+abstol;
	dg0=vecvec(1,n,0,delta,g);
	it++;
	while ((nrmdelta > eps || dg > tolg) && (evl < evlmax)) {
		dupvec(1,n,0,s,x);
		dupvec(1,n,0,v,g);
		if (it >= n)
			alfa=1.0;
		else {
			if (it != 1)
				alfa /= nrmdelta;
			else {
				alfa=2.0*(fmin-f)/dg0;
				if (alfa > 1.0) alfa=1.0;
			}
		}
		elmvec(1,n,0,x,delta,alfa);
		f0=f;
		f=(*funct)(n,x,g);
		evl++;
		dg=vecvec(1,n,0,delta,g);
		if (it == 1 || f0-f < -mu*dg0*alfa) {
			/* line minimization */
			i=evlmax-evl;
			cntl++;
			linemin(n,s,delta,nrmdelta,&alfa,g,funct,f0,&f,
						dg0,&dg,&i,0,in);
			evl += i;
			dupvec(1,n,0,x,s);
		}
		if (alfa != 1.0) mulvec(1,n,0,delta,delta,alfa);
		mulvec(1,n,0,v,v,-1.0);
		elmvec(1,n,0,v,g,1.0);
		for (i=1; i<=n; i++) s[i]=symmatvec(1,n,i,h,v);
		aid=vecvec(1,n,0,v,s);
		dg=(dg-dg0)*alfa;
		if (dg > 0.0)
			if (dg >= aid)
				fleupd(h,n,delta,s,1.0/dg,(1.0+aid/dg)/dg);
			else
				davupd(h,n,delta,s,1.0/dg,1.0/aid);
		for (i=1; i<=n; i++) delta[i] = -symmatvec(1,n,i,h,g);
		alfa *= nrmdelta;
		nrmdelta=sqrt(vecvec(1,n,0,delta,delta));
		eps=sqrt(vecvec(1,n,0,x,x))*reltol+abstol;
		dg=sqrt(vecvec(1,n,0,g,g));
		dg0=vecvec(1,n,0,delta,g);
		if (dg0 > 0.0) {
			out[4] = -1.0;
			break;
		}
		it++;
	}
	out[0]=nrmdelta;
	out[1]=dg;
	out[2]=evl;
	out[3]=cntl;
	free_real_vector(v,1);
	free_real_vector(delta,1);
	free_real_vector(s,1);
	return f;
}
Exemplo n.º 3
0
int peidefunct(int nrow, int ncol, real_t par[], real_t res[],
		int n, int m, int nobs, int *nbp, int first, int *sec,
		int *max, int *nis, real_t eps1, int weight, int bp[],
		real_t save[], real_t ymax[], real_t y[], real_t **yp,
		real_t **fy, real_t **fp, int cobs[], real_t tobs[],
		real_t obs[], real_t in[], real_t aux[], int clean,
		int (*deriv)(int,int,real_t [],real_t [],real_t,real_t []),
		int (*jacdfdy)(int,int,real_t [],real_t [],real_t,real_t **),
		int (*jacdfdp)(int,int,real_t [],real_t [],real_t,real_t **),
		void (*callystart)(int,int,real_t [],real_t [],real_t[]),
		void (*monitor)(int,int,int,real_t [],real_t [],int,int))
{
	/* this function is internally used by PEIDE */

	void peidereset(int, int, real_t, real_t, real_t, real_t, real_t [],
				real_t [], real_t *, real_t *, real_t *, int *);
	void peideorder(int, int, real_t, real_t [], real_t [],
			real_t *, real_t *, real_t *, real_t *, real_t *, int *);
	void peidestep(int, int, int, real_t, real_t, real_t, real_t,
			real_t [], real_t [], real_t [], real_t [], int *, real_t *);
	real_t peideinterpol(int, int, int, real_t, real_t []);
	int l,k,knew,fails,same,kpold,n6,nnpar,j5n,cobsii,*p,evaluate,
			evaluated,decompose,conv,extra,npar,i,j,jj,ii;
	real_t xold,hold,a0,tolup,tol,toldwn,tolconv,h,ch,chnew,error,
			dfi,tobsdif,a[6],*delta,*lastdelta,*df,*y0,**jacob,xend,
			hmax,hmin,eps,s,aa,x,t,c;

	p=allocate_integer_vector(1,n);
	delta=allocate_real_vector(1,n);
	lastdelta=allocate_real_vector(1,n);
	df=allocate_real_vector(1,n);
	y0=allocate_real_vector(1,n);
	jacob=allocate_real_matrix(1,n,1,n);

	if (*sec) {
		*sec=0;
		goto Finish;
	}
	xend=tobs[nobs];
	eps=in[2];
	npar=m;
	extra=(*nis)=0;
	ii=1;
	jj = (*nbp == 0) ? 0 : 1;
	n6=n*6;
	inivec(-3,-1,save,0.0);
	inivec(n6+1,(6+m)*n,y,0.0);
	inimat(1,nobs+(*nbp),1,m+(*nbp),yp,0.0);
	t=tobs[1];
	x=tobs[0];
	(*callystart)(n,m,par,y,ymax);
	hmax=tobs[1]-tobs[0];
	hmin=hmax*in[1];
	/* evaluate jacobian */
	evaluate=0;
	decompose=evaluated=1;
	if (!(*jacdfdy)(n,m,par,y,x,fy)) {
		save[-3]=4.0;
		goto Finish;
	}
	nnpar=n*npar;

	Newstart:
	k=1;
	kpold=0;
	same=2;
	peideorder(n,k,eps,a,save,&tol,&tolup,&toldwn,&tolconv,
					&a0,&decompose);
	if (!(*deriv)(n,m,par,y,x,df)) {
		save[-3]=3.0;
		goto Finish;
	}
	s=FLT_MIN;
	for (i=1; i<=n; i++) {
		aa=matvec(1,n,i,fy,df)/ymax[i];
		s += aa*aa;
	}
	h=sqrt(2.0*eps/sqrt(s));
	if (h > hmax)
		h=hmax;
	else
		if (h < hmin) h=hmin;
	xold=x;
	hold=h;
	ch=1.0;
	for (i=1; i<=n; i++) {
		save[i]=y[i];
		save[n+i]=y[n+i]=df[i]*h;
	}
	fails=0;
	while (x < xend) {
		if (x+h <= xend)
			x += h;
		else {
			h=xend-x;
			x=xend;
			ch=h/hold;
			c=1.0;
			for (j=n; j<=k*n; j += n) {
				c *= ch;
				for (i=j+1; i<=j+n; i++) y[i] *= c;
			}
			same = (same < 3) ? 3 : same+1;
		}
		/* prediction */
		for (l=1; l<=n; l++) {
			for (i=l; i<=(k-1)*n+l; i += n)
				for (j=(k-1)*n+l; j>=i; j -= n) y[j] += y[j+n];
			delta[l]=0.0;
		}
		evaluated=0;
		/* correction and estimation local error */
		for (l=1; l<=3; l++) {
			if (!(*deriv)(n,m,par,y,x,df)) {
				save[-3]=3;
				goto Finish;
			}
			for (i=1; i<=n; i++) df[i]=df[i]*h-y[n+i];
			if (evaluate) {
				/* evaluate jacobian */
				evaluate=0;
				decompose=evaluated=1;
				if (!(*jacdfdy)(n,m,par,y,x,fy)) {
					save[-3]=4.0;
					goto Finish;
				}
			}
			if (decompose) {
				/* decompose jacobian */
				decompose=0;
				c = -a0*h;
				for (j=1; j<=n; j++) {
					for (i=1; i<=n; i++) jacob[i][j]=fy[i][j]*c;
					jacob[j][j] += 1.0;
				}
				dec(jacob,n,aux,p);
			}
			sol(jacob,n,p,df);
			conv=1;
			for (i=1; i<=n; i++) {
				dfi=df[i];
				y[i] += a0*dfi;
				y[n+i] += dfi;
				delta[i] += dfi;
				conv=(conv && (fabs(dfi) < tolconv*ymax[i]));
			}
			if (conv) {
				s=FLT_MIN;
				for (i=1; i<=n; i++) {
					aa=delta[i]/ymax[i];
					s += aa*aa;
				}
				error=s;
				break;
			}
		}
		/* acceptance or rejection */
		if (!conv) {
			if (!evaluated)
				evaluate=1;
			else {
				ch /= 4.0;
				if (h < 4.0*hmin) {
					save[-1] += 10.0;
					hmin /= 10.0;
					if (save[-1] > 40.0) goto Finish;
				}
			}
			peidereset(n,k,hmin,hmax,hold,xold,y,save,&ch,&x,
							&h,&decompose);
		} else if (error > tol) {
			fails++;
			if (h > 1.1*hmin) {
				if (fails > 2) {
					peidereset(n,k,hmin,hmax,hold,xold,y,save,&ch,&x,
								&h,&decompose);
					goto Newstart;
				} else {
					/* calculate step and order */
					peidestep(n,k,fails,tolup,toldwn,tol,error,delta,
								lastdelta,y,ymax,&knew,&chnew);
					if (knew != k) {
						k=knew;
						peideorder(n,k,eps,a,save,&tol,&tolup,
									&toldwn,&tolconv,&a0,&decompose);
					}
					ch *= chnew;
					peidereset(n,k,hmin,hmax,hold,xold,y,save,&ch,&x,
								&h,&decompose);
				}
			} else {
				if (k == 1) {
					/* violate eps criterion */
					save[-2] += 1.0;
					same=4;
					goto Errortestok;
				}
				k=1;
				peidereset(n,k,hmin,hmax,hold,xold,y,save,&ch,&x,
							&h,&decompose);
				peideorder(n,k,eps,a,save,&tol,&tolup,
							&toldwn,&tolconv,&a0,&decompose);
				same=2;
			}
		} else {
			Errortestok:
			fails=0;
			for (i=1; i<=n; i++) {
				c=delta[i];
				for (l=2; l<=k; l++) y[l*n+i] += a[l]*c;
				if (fabs(y[i]) > ymax[i]) ymax[i]=fabs(y[i]);
			}
			same--;
			if (same == 1)
				dupvec(1,n,0,lastdelta,delta);
			else if (same == 0) {
				/* calculate step and order */
				peidestep(n,k,fails,tolup,toldwn,tol,error,delta,
							lastdelta,y,ymax,&knew,&chnew);
				if (chnew > 1.1) {
					if (k != knew) {
						if (knew > k)
							mulvec(knew*n+1,knew*n+n,-knew*n,y,delta,
									a[k]/knew);
						k=knew;
						peideorder(n,k,eps,a,save,&tol,&tolup,
									&toldwn,&tolconv,&a0,&decompose);
					}
					same=k+1;
					if (chnew*h > hmax) chnew=hmax/h;
					h *= chnew;
					c=1.0;
					for (j=n; j<=k*n; j += n) {
						c *= chnew;
						mulvec(j+1,j+n,0,y,y,c);
					}
					decompose=1;
				} else
					same=10;
			}
			(*nis)++;
			/* start of an integration step of yp */
			if (clean) {
				hold=h;
				xold=x;
				kpold=k;
				ch=1.0;
				dupvec(1,k*n+n,0,save,y);
			} else {
				if (h != hold) {
					ch=h/hold;
					c=1.0;
					for (j=n6+nnpar; j<=kpold*nnpar+n6; j += nnpar) {
						c *= ch;
						for (i=j+1; i<=j+nnpar; i++) y[i] *= c;
					}
					hold=h;
				}
				if (k > kpold)
					inivec(n6+k*nnpar+1,n6+k*nnpar+nnpar,y,0.0);
				xold=x;
				kpold=k;
				ch=1.0;
				dupvec(1,k*n+n,0,save,y);
				/* evaluate jacobian */
				evaluate=0;
				decompose=evaluated=1;
				if (!(*jacdfdy)(n,m,par,y,x,fy)) {
					save[-3]=4.0;
					goto Finish;
				}
				/* decompose jacobian */
				decompose=0;
				c = -a0*h;
				for (j=1; j<=n; j++) {
					for (i=1; i<=n; i++) jacob[i][j]=fy[i][j]*c;
					jacob[j][j] += 1.0;
				}
				dec(jacob,n,aux,p);
				if (!(*jacdfdp)(n,m,par,y,x,fp)) {
					save[-3]=5.0;
					goto Finish;
				}
				if (npar > m) inimat(1,n,m+1,npar,fp,0.0);
				/* prediction */
				for (l=0; l<=k-1; l++)
					for (j=k-1; j>=l; j--)
						elmvec(j*nnpar+n6+1,j*nnpar+n6+nnpar,nnpar,
									y,y,1.0);
				/* correction */
				for (j=1; j<=npar; j++) {
					j5n=(j+5)*n;
					dupvec(1,n,j5n,y0,y);
					for (i=1; i<=n; i++)
						df[i]=h*(fp[i][j]+matvec(1,n,i,fy,y0))-
									y[nnpar+j5n+i];
					sol(jacob,n,p,df);
					for (l=0; l<=k; l++) {
						i=l*nnpar+j5n;
						elmvec(i+1,i+n,-i,y,df,a[l]);
					}
				}
			}
			while (x >= t) {
				/* calculate a row of the jacobian matrix and an
					element of the residual vector */
				tobsdif=(tobs[ii]-x)/h;
				cobsii=cobs[ii];
				res[ii]=peideinterpol(cobsii,n,k,tobsdif,y)-obs[ii];
				if (!clean) {
					for (i=1; i<=npar; i++)
						yp[ii][i]=peideinterpol(cobsii+(i+5)*n,nnpar,k,
														tobsdif,y);
					/* introducing break-points */
					if (bp[jj] != ii) {
					} else if (first && fabs(res[ii]) < eps1) {
						(*nbp)--;
						for (i=jj; i<=(*nbp); i++) bp[i]=bp[i+1];
						bp[*nbp+1]=0;
					} else {
						extra++;
						if (first) par[m+jj]=obs[ii];
						/* introducing a jacobian row and a residual
							vector element for continuity requirements */
						yp[nobs+jj][m+jj] = -weight;
						mulrow(1,npar,nobs+jj,ii,yp,yp,weight);
						res[nobs+jj]=weight*(res[ii]+obs[ii]-par[m+jj]);
					}
				}
				if (ii == nobs)
					goto Finish;
				else {
					t=tobs[ii+1];
					if (bp[jj] == ii && jj < *nbp) jj++;
					hmax=t-tobs[ii];
					hmin=hmax*in[1];
					ii++;
				}
			}
			/* break-points introduce new initial values for y & yp */
			if (extra > 0) {
				for (i=1; i<=n; i++) {
					y[i]=peideinterpol(i,n,k,tobsdif,y);
					for (j=1; j<=npar; j++)
						y[i+(j+5)*n]=peideinterpol(i+(j+5)*n,nnpar,
															k,tobsdif,y);
				}
				for (l=1; l<=extra; l++) {
					cobsii=cobs[bp[npar-m+l]];
					y[cobsii]=par[npar+l];
					for (i=1; i<=npar+extra; i++) y[cobsii+(5+i)*n]=0.0;
					inivec(1+nnpar+(l+5)*n,nnpar+(l+6)*n,y,0.0);
					y[cobsii+(5+npar+l)*n]=1.0;
				}
				npar += extra;
				extra=0;
				x=tobs[ii-1];
				/* evaluate jacobian */
				evaluate=0;
				decompose=evaluated=1;
				if (!(*jacdfdy)(n,m,par,y,x,fy)) {
					save[-3]=4.0;
					goto Finish;
				}
				nnpar=n*npar;
				goto Newstart;
			}
		}
	}
	Finish:
	if (save[-2] > *max) *max=save[-2];
	if (!first) (*monitor)(1,ncol,nrow,par,res,weight,*nis);
	free_integer_vector(p,1);
	free_real_vector(delta,1);
	free_real_vector(lastdelta,1);
	free_real_vector(df,1);
	free_real_vector(y0,1);
	free_real_matrix(jacob,1,n,1);
	return (save[-1] <= 40.0 && save[-3] == 0.0);
}
Exemplo n.º 4
0
void ark(real_t *t, real_t *te, int *m0, int *m, real_t u[],
			void (*derivative)(int *, int *, real_t *, real_t[]),
			real_t data[],
			void (*out)(int *, int *, real_t *, real_t *, real_t [],
							real_t []))
{
	real_t *allocate_real_vector(int, int);
	real_t **allocate_real_matrix(int, int, int, int);
	void free_real_vector(real_t *, int);
	void free_real_matrix(real_t **, int, int, int);
	void inivec(int, int, real_t [], real_t);
	void mulvec(int, int, int, real_t [], real_t [], real_t);
	void dupvec(int, int, int, real_t [], real_t []);
	real_t vecvec(int, int, int, real_t [], real_t []);
	void elmvec(int, int, int, real_t [], real_t [], real_t);
	void decsol(real_t **, int, real_t [], real_t []);
	real_t arkmui(int, int, int, real_t []);
	real_t arklabda(int, int, int, int, real_t []);
	static real_t th1[8] = {1.0, 0.5, 1.0/6.0, 1.0/3.0, 1.0/24.0,
		1.0/12.0, 0.125, 0.25};
	static real_t ec0,ec1,ec2,tau0,tau1,tau2,taus,t2;
	int p,n,q,start,step1,last,i,j,k,l,n1,m00;
	real_t thetanm1,tau,betan,qinv,eta,*mu,*lambda,*thetha,*ro,*r,
			**alfa,th[9],aux[4],s,ss,theta0,tauacc,taustab,
			aa,bb,cc,ec,mt,lt;

	n=data[1];
	m00=(*m0);
	mu=allocate_real_vector(1,n);
	lambda=allocate_real_vector(1,n);
	thetha=allocate_real_vector(0,n);
	ro=allocate_real_vector(m00,*m);
	r=allocate_real_vector(m00,*m);
	alfa=allocate_real_matrix(1,8,1,n+1);

	p=data[2];
	ec1=ec2=0.0;
	betan=data[3];
	thetanm1 = (p == 3) ? 0.75 : 1.0;
	theta0=1.0-thetanm1;
	s=1.0;
	for (j=n-1; j>=1; j--) {
		s = -s*theta0+data[n+10-j];
		mu[j]=data[n+11-j]/s;
		lambda[j]=mu[j]-theta0;
	}
	for (i=1; i<=8; i++)
		for (j=0; j<=n; j++)
			if (i == 1) alfa[i][j+1]=1.0;
			else if (j == 0) alfa[i][j+1]=0.0;
			else if (i == 2 || i == 4 || i == 8)
					alfa[i][j+1]=pow(arkmui(j,n,p,lambda),(i+2)/3);
			else if ((i == 3 || i == 6) && j > 1) {
				s=0.0;
				for (l=1; l<=j-1; l++)
					s += arklabda(j,l,n,p,lambda)*
								pow(arkmui(l,n,p,lambda),i/3);
				alfa[i][j+1]=s;
			}
			else if (i == 5 && j > 2) {
				s=0.0;
				for (l=2; l<=j-1; l++) {
					ss=0.0;
					for (k=1; k<=l-1; k++)
						ss += arklabda(l,k,n,p,lambda)*
									arkmui(k,n,p,lambda);
					s += arklabda(j,l,n,p,lambda)*ss;
				}
				alfa[i][j+1]=s;
			}
			else if (i == 7 && j > 1) {
				s=0.0;
				for (l=1; l<=j-1; l++)
					s += arklabda(j,l,n,p,lambda)*arkmui(l,n,p,lambda);
				alfa[i][j+1]=s*arkmui(j,n,p,lambda);
			}
			else alfa[i][j+1]=0.0;
	n1 = ((n < 4) ? n+1 : ((n < 7) ? 4 : 8));
	for (i=1; i<=8; i++) th[i]=th1[i-1];
	if (p == 3 && n < 7) th[1]=th[2]=0.0;
	aux[2]=FLT_EPSILON;
	decsol(alfa,n1,aux,th);
	inivec(0,n,thetha,0.0);
	dupvec(0,n1-1,1,thetha,th);
	if (!(p == 3 && n < 7)) {
		thetha[0] -= theta0;
		thetha[n-1] -= thetanm1;
		q=p+1;
	} else
		q=3;
	qinv=1.0/q;
	start=(data[8] == 0.0);
	data[10]=0.0;
	last=0;
	dupvec(*m0,*m,0,r,u);
	(*derivative)(m0,m,t,r);
	do {
		/* stepsize */
		eta=sqrt(vecvec(*m0,*m,0,u,u))*data[7]+data[6];
		if (eta > 0.0) {
			if (start) {
				if (data[8] == 0) {
					tauacc=data[5];
					step1=1;
				} else
					if (step1) {
						tauacc=pow(eta/ec2,qinv);
						if (tauacc > 10.0*tau2)
							tauacc=10.0*tau2;
						else
							step1=0;
					} else {
						bb=(ec2-ec1)/tau1;
						cc = -bb*t2+ec2;
						ec=bb*(*t)+cc;
						tauacc = (ec < 0.0) ? tau2 : pow(eta/ec,qinv);
						start=0;
					}
			} else {
				aa=((ec0-ec1)/tau0+(ec2-ec1)/tau1)/(tau1+tau0);
				bb=(ec2-ec1)/tau1-(2.0*t2-tau1)*aa;
				cc = -(aa*t2+bb)*t2+ec2;
				ec=(aa*(*t)+bb)*(*t)+cc;
				tauacc = ((ec < 0.0) ? taus : pow(eta/ec,qinv));
				if (tauacc > 2.0*taus) tauacc=2.0*taus;
				if (tauacc < taus/2.0) tauacc=taus/2.0;
			}
		} else
			tauacc=data[5];
		if (tauacc < data[5]) tauacc=data[5];
		taustab=betan/data[4];
		if (taustab < data[5]) {
			data[10]=1.0;
			break;
		}
		tau = ((tauacc > taustab) ? taustab : tauacc);
		taus=tau;
		if (tau >= (*te)-(*t)) {
			tau=(*te)-(*t);
			last=1;
		}
		tau0=tau1;
		tau1=tau2;
		tau2=tau;
		/* difference scheme */
		mulvec(*m0,*m,0,ro,r,thetha[0]);
		if (p == 3) elmvec(*m0,*m,0,u,r,0.25*tau);
		for (i=1; i<=n-1; i++) {
			mt=mu[i]*tau;
			lt=lambda[i]*tau;
			for (j=(*m0); j<=(*m); j++) r[j]=lt*r[j]+u[j];
			s=(*t)+mt;
			(*derivative)(m0,m,&s,r);
			if (thetha[i] != 0.0) elmvec(*m0,*m,0,ro,r,thetha[i]);
			if (i == n) {
				data[9]=sqrt(vecvec(*m0,*m,0,ro,ro))*tau;
				ec0=ec1;
				ec1=ec2;
				ec2=data[9]/pow(tau,q);
			}
		}
		elmvec(*m0,*m,0,u,r,thetanm1*tau);
		dupvec(*m0,*m,0,r,u);
		s=(*t)+tau;
		(*derivative)(m0,m,&s,r);
		if (thetha[n] != 0.0) elmvec(*m0,*m,0,ro,r,thetha[n]);
		data[9]=sqrt(vecvec(*m0,*m,0,ro,ro))*tau;
		ec0=ec1;
		ec1=ec2;
		ec2=data[9]/pow(tau,q);
		t2=(*t);
		if (last) {
			last=0;
			(*t)=(*te);
		} else
			(*t) += tau;
		data[8] += 1.0;
		(*out)(m0,m,t,te,u,data);
	} while ((*t) != (*te));
	free_real_vector(mu,1);
	free_real_vector(lambda,1);
	free_real_vector(thetha,0);
	free_real_vector(ro,m00);
	free_real_vector(r,m00);
	free_real_matrix(alfa,1,8,1);
}