void resetSignals(cmaes_t *evo, int numDipoles)
{
int k;
//Reset typical x -- all other mandatory settings are overwritten in reinit()
evo->sp.typicalX = new_double(evo->sp.N);
for (k=0;k<numDipoles;k++)
{
evo->sp.typicalX[k*6+0] = 6.000000;
evo->sp.typicalX[k*6+1] = 8.0;
evo->sp.typicalX[k*6+2] = 15.0;
evo->sp.typicalX[k*6+3] = 90.0;
evo->sp.typicalX[k*6+4] = 90.0;
evo->sp.typicalX[k*6+5] = 0.5;
}
//Reset optional settings:
evo->sp.stopMaxFunEvals=1e299;
evo->sp.facmaxeval=1.0;
evo->sp.stopMaxIter=1e299;
evo->sp.stopTolFun=1e-12;
evo->sp.stopTolFunHist=1e-13;
evo->sp.stopTolX=1e-11;
evo->sp.stopTolUpXFactor=1e3;
evo->sp.updateCmode.maxtime=1;
}
int main(int argc,char**argv){
int N,M,i,j; double tau,h,eps,*v,*hat_v,*delta_v,*pts[3];
if (argc<4) {printf("%s 1/tau 1/h eps\n",argv[0]); return 0;}
N = atoi(argv[1]); M = atoi(argv[2]); eps = atof(argv[3]);
h = 1./M; tau = 1./N;
new_double(3,N,pts); v = pts[0]; hat_v = pts[1]; delta_v = pts[2];
v0(N,v);
// pl(N,v);
for(j=0;j<M;j++){
v_bounds(N,j/M,hat_v);
for (i=2;i<N-2;i++) hat_v[i] = v[i];
layer(eps,N,tau,h,v,hat_v);
for (i=0;i<N;i++) delta_v[i] = fabs(analitic( ((double)j)/M ,((double)i)/N) - hat_v[i] );
printf("layer %d с ошибкой %e\n",j,norm_max(N,delta_v));
for (i=2;i<N-2;i++) v[i] = hat_v[i];
}
clean_all(3,pts);
return 0;
}
//Пусть эта штука будет рекурсивно себя вызывать и возвращать число итераций
int layer(double eps,int n,double tau,double h,double *v,double *hat_v){
double err,gamma,*a,*c,*d,*b,*w,*pts[5]; int i;
new_double(5,n,pts);
a = pts[0]; c = pts[1]; d = pts[2]; b = pts[3]; w = pts[4];
_G(n,b,tau,h,v,hat_v);
err = norm_max(n,b);
if (err<eps) printf("Ошибка %e\neps %e\n",norm_max(n,b),eps);
if (norm_max(n,b) < eps) {
clean_all(5,pts); return 0;
}
for(i=n-6,a[n-5] = 1/tau;i>=0;i--) {
a[i] = 1/tau;
c[i] = hat_v[i+3]/(2*h); d[i] = -hat_v[i+2]/(2*h);
}
thomas(n-4,w+2,a,c,d,b); for (gamma=1.;gamma>AESH_MIN;gamma/=2.){
if (gamma<10*AESH_MIN) exit(-1);
for (i=2;i<n-2;i++) hat_v[i] += gamma * w[i];
_G(n,b,tau,h,v,hat_v); printf("Ошибка %e\n",norm_max(n,b)); if (norm_max(n,b)<err) break;
for (i=2;i<n-2;i++) hat_v[i] -= gamma * w[i];
}
clean_all(5,pts);
return 1 + layer(eps,n,tau,h,v,hat_v);
}
int thomas(int n,double *dest,double*a,double*c,double*d,double *b){
double *l,*v,*u,*pts[3]; int i;
if (n<2) return n-2;
// for (i=0;i<n-5;i++) printf("%e %e %e %e\n",a[i],c[i],d[i],b[i]);
new_double(3,n,pts);
l = pts[0]; v = pts[1], u = pts[2];
// Богачёв первый этап прогонки
// printf("d0 = %e\n",d[0]);
v[0]=d[0]; if (fabs(v[0])<AESH_MIN) {printf("d[0] zero delimeter\n"); clean_all(3,pts); exit(-1);}
l[0] = a[0]/v[0];if (fabs(l[0])<AESH_MIN) {printf("l[0] zero delimeter %e/%e = %e\n",a[0],v[0],l[0]); clean_all(3,pts);exit(-1);}
u[0] = c[0]/l[0];
for (i=1;i<n-1;i++) {
v[i] = d[i]; if (fabs(v[i])<AESH_MIN) {printf("v[%d] zero delimeter\n",i); exit(-1);}
l[i] = (a[i] - u[i-1])/v[i];if (fabs(l[i])<AESH_MIN) {printf("l[%d] zero delimeter\n",i); clean_all(3,pts); exit(-1);}
u[i] = c[i]/l[i];
}
l[n-1]=a[n-1]-u[n-2];
v[n-1]=1;
// Богачёв замечание 4
for(i=1,dest[0]=b[0]/l[0]; i<n; i++) dest[i] = (b[i]-dest[i-1])/l[i];
for(i=n-2;i>=0; i--) dest[i] = (dest[i] - u[i]*dest[i+1])/v[i];
clean_all(3,pts);
return 0;
}
double * reinit(cmaes_t * evo, int lambda, int numDipoles)
{
int i, j, k, N;
double dtest, trace;
double *rgrgxdata;
/** Unknown if these are needed, most seem to be related to reading the init file (which we are removing) **/
evo->sp.rgsformat = (char **) new_void(55, sizeof(char *));
evo->sp.rgpadr = (void **) new_void(55, sizeof(void *));
evo->sp.rgskeyar = (char **) new_void(11, sizeof(char *));
evo->sp.rgp2adr = (double ***) new_void(11, sizeof(double **));
evo->sp.weigkey = (char *)new_void(7, sizeof(char));
/* All scalars: */
i = 0;
evo->sp.rgsformat[i] = " N %d"; evo->sp.rgpadr[i++] = (void *) &evo->sp.N;
evo->sp.rgsformat[i] = " seed %d"; evo->sp.rgpadr[i++] = (void *) &evo->sp.seed;
evo->sp.rgsformat[i] = " stopMaxFunEvals %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.stopMaxFunEvals;
evo->sp.rgsformat[i] = " stopMaxIter %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.stopMaxIter;
evo->sp.rgsformat[i] = " stopFitness %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.stStopFitness.val;
evo->sp.rgsformat[i] = " stopTolFun %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.stopTolFun;
evo->sp.rgsformat[i] = " stopTolFunHist %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.stopTolFunHist;
evo->sp.rgsformat[i] = " stopTolX %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.stopTolX;
evo->sp.rgsformat[i] = " stopTolUpXFactor %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.stopTolUpXFactor;
evo->sp.rgsformat[i] = " lambda %d"; evo->sp.rgpadr[i++] = (void *) &evo->sp.lambda;
evo->sp.rgsformat[i] = " mu %d"; evo->sp.rgpadr[i++] = (void *) &evo->sp.mu;
evo->sp.rgsformat[i] = " weights %5s"; evo->sp.rgpadr[i++] = (void *) evo->sp.weigkey;
evo->sp.rgsformat[i] = " fac*cs %lg";evo->sp.rgpadr[i++] = (void *) &evo->sp.cs;
evo->sp.rgsformat[i] = " fac*damps %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.damps;
evo->sp.rgsformat[i] = " ccumcov %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.ccumcov;
evo->sp.rgsformat[i] = " mucov %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.mucov;
evo->sp.rgsformat[i] = " fac*ccov %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.ccov;
evo->sp.rgsformat[i] = " diagonalCovarianceMatrix %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.diagonalCov;
evo->sp.rgsformat[i] = " updatecov %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.updateCmode.modulo;
evo->sp.rgsformat[i] = " maxTimeFractionForEigendecompostion %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.updateCmode.maxtime;
evo->sp.rgsformat[i] = " resume %59s"; evo->sp.rgpadr[i++] = (void *) evo->sp.resumefile;
evo->sp.rgsformat[i] = " fac*maxFunEvals %lg"; evo->sp.rgpadr[i++] = (void *) &evo->sp.facmaxeval;
evo->sp.rgsformat[i] = " fac*updatecov %lg"; evo->sp.rgpadr[i++]=(void *) &evo->sp.facupdateCmode;
evo->sp.n1para = i;
evo->sp.n1outpara = i-2; /* disregard last parameters in WriteToFile() */
/* arrays */
i = 0;
evo->sp.rgskeyar[i] = " typicalX %d"; evo->sp.rgp2adr[i++] = &evo->sp.typicalX;
evo->sp.rgskeyar[i] = " initialX %d"; evo->sp.rgp2adr[i++] = &evo->sp.xstart;
evo->sp.rgskeyar[i] = " initialStandardDeviations %d"; evo->sp.rgp2adr[i++] = &evo->sp.rgInitialStds;
evo->sp.rgskeyar[i] = " diffMinChange %d"; evo->sp.rgp2adr[i++] = &evo->sp.rgDiffMinChange;
evo->sp.n2para = i;
/** End Unknown section **/
//First reset the strategy parameters (sp)
evo->sp.N=6*numDipoles;
evo->sp.seed=0;
evo->sp.xstart=NULL;
evo->sp.typicalXcase=0;
evo->sp.rgInitialStds = NULL;
evo->sp.rgDiffMinChange = NULL;
evo->sp.stopMaxFunEvals = -1;
evo->sp.stopMaxIter = -1;
evo->sp.facmaxeval = 1;
evo->sp.stStopFitness.flg = 1;
evo->sp.stStopFitness.val = 1e-5;
evo->sp.stopTolFun = 1e-12;
evo->sp.stopTolFunHist = 1e-13;
evo->sp.stopTolX = 0; /* 1e-11*insigma would also be reasonable */
evo->sp.stopTolUpXFactor = 1e3;
evo->sp.lambda=lambda;
evo->sp.mu=-1;
evo->sp.mucov = -1;
evo->sp.weights = NULL;
evo->sp.weigkey=malloc(5*sizeof(char));
strcpy(evo->sp.weigkey, "log\0");
evo->sp.cs = -1;
evo->sp.ccumcov = -1;
evo->sp.damps = -1;
evo->sp.ccov = -1;
evo->sp.diagonalCov = 0; /* default is 0, but this might change in future, see below */
evo->sp.updateCmode.modulo = -1;
evo->sp.updateCmode.maxtime = -1;
evo->sp.updateCmode.flgalways = 0;
evo->sp.facupdateCmode = 1;
strcpy(evo->sp.resumefile, "_no_");
//printf("reinit:0\n");
readpara_SupplementDefaults(&(evo->sp));
//printf("reinit:1\n");
//Now reset the state variables
evo->version = "3.11.00.beta";
evo->sp.seed = random_init( &evo->rand, (long unsigned int) evo->sp.seed);
N = evo->sp.N; /* for convenience */
//printf("reinit:2\n");
evo->sp.rgInitialStds = new_double(N);
evo->sp.xstart = new_double(N);
for (k=0;k<numDipoles;k++)
{
evo->sp.rgInitialStds[k*6+0] = 3.000000;
evo->sp.rgInitialStds[k*6+1] = 4.0;
evo->sp.rgInitialStds[k*6+2] = 5.0;
evo->sp.rgInitialStds[k*6+3] = 90.0;
evo->sp.rgInitialStds[k*6+4] = 90.0;
evo->sp.rgInitialStds[k*6+5] = 3.75;
evo->sp.xstart[k*6+0] = 6.000000;
evo->sp.xstart[k*6+1] = 8.0;
evo->sp.xstart[k*6+2] = 15.0;
evo->sp.xstart[k*6+3] = 90.0;
evo->sp.xstart[k*6+4] = 90.0;
evo->sp.xstart[k*6+5] = 0.5;
}
/* initialization */
for (i = 0, trace = 0.; i < N; ++i)
trace += evo->sp.rgInitialStds[i]*evo->sp.rgInitialStds[i];
evo->sigma = sqrt(trace/N); /* evo->sp.mueff/(0.2*evo->sp.mueff+sqrt(N)) * sqrt(trace/N); */
//printf("reinit:3\n");
evo->chiN = sqrt((double) N) * (1. - 1./(4.*N) + 1./(21.*N*N));
evo->flgEigensysIsUptodate = 1;
evo->flgCheckEigen = 0;
evo->genOfEigensysUpdate = 0;
timings_init(&evo->eigenTimings);
evo->flgIniphase = 0; /* do not use iniphase, hsig does the job now */
evo->flgresumedone = 0;
evo->flgStop = 0;
for (dtest = 1.; dtest && dtest < 1.1 * dtest; dtest *= 2.)
if (dtest == dtest + 1.)
break;
evo->dMaxSignifKond = dtest / 1000.; /* not sure whether this is really safe, 100 does not work well enough */
evo->gen = 0;
evo->countevals = 0;
evo->state = 0;
evo->dLastMinEWgroesserNull = 1.0;
evo->printtime = evo->writetime = evo->firstwritetime = evo->firstprinttime = 0;
evo->rgpc = new_double(N);
evo->rgps = new_double(N);
evo->rgdTmp = new_double(N+1);
evo->rgBDz = new_double(N);
evo->rgxmean = new_double(N+2); evo->rgxmean[0] = N; ++evo->rgxmean;
evo->rgxold = new_double(N+2); evo->rgxold[0] = N; ++evo->rgxold;
evo->rgxbestever = new_double(N+3); evo->rgxbestever[0] = N; ++evo->rgxbestever;
evo->rgout = new_double(N+2); evo->rgout[0] = N; ++evo->rgout;
evo->rgD = new_double(N);
evo->C = (double**)new_void(N, sizeof(double*));
evo->B = (double**)new_void(N, sizeof(double*));
evo->publicFitness = new_double(evo->sp.lambda);
evo->rgFuncValue = new_double(evo->sp.lambda+1);
evo->rgFuncValue[0]=evo->sp.lambda; ++evo->rgFuncValue;
evo->arFuncValueHist = new_double(10+(int)ceil(3.*10.*N/evo->sp.lambda)+1);
evo->arFuncValueHist[0] = (double)(10+(int)ceil(3.*10.*N/evo->sp.lambda));
evo->arFuncValueHist++;
//printf("reinit:4\n");
for (i = 0; i < N; ++i) {
evo->C[i] = new_double(i+1);
evo->B[i] = new_double(N);
}
evo->index = (int *) new_void(evo->sp.lambda, sizeof(int));
for (i = 0; i < evo->sp.lambda; ++i)
evo->index[i] = i; /* should not be necessary */
evo->rgrgx = (double **)new_void(evo->sp.lambda, sizeof(double*));
rgrgxdata = new_double(evo->sp.lambda*(N+2));
for (i = 0; i < evo->sp.lambda; ++i) {
evo->rgrgx[i] = &rgrgxdata[i*(N+2)];
evo->rgrgx[i][0] = N;
evo->rgrgx[i]++;
}
// printf("Arggg:%d\n",evo->sp.lambda*(N+2));
//printf("reinit:5\n");
/* Initialize newed space */
for (i = 0; i < N; ++i)
for (j = 0; j < i; ++j)
evo->C[i][j] = evo->B[i][j] = evo->B[j][i] = 0.;
for (i = 0; i < N; ++i)
{
evo->B[i][i] = 1.;
evo->C[i][i] = evo->rgD[i] = evo->sp.rgInitialStds[i] * sqrt(N / trace);
evo->C[i][i] *= evo->C[i][i];
evo->rgpc[i] = evo->rgps[i] = 0.;
}
//printf("reinit:6\n");
evo->minEW = rgdouMin(evo->rgD, N); evo->minEW = evo->minEW * evo->minEW;
evo->maxEW = rgdouMax(evo->rgD, N); evo->maxEW = evo->maxEW * evo->maxEW;
evo->maxdiagC=evo->C[0][0]; for(i=1;i<N;++i) if(evo->maxdiagC<evo->C[i][i]) evo->maxdiagC=evo->C[i][i];
evo->mindiagC=evo->C[0][0]; for(i=1;i<N;++i) if(evo->mindiagC>evo->C[i][i]) evo->mindiagC=evo->C[i][i];
/* set xmean */
for (i = 0; i < N; ++i)
{
evo->rgxmean[i] = evo->rgxold[i] = evo->sp.xstart[i];
}
//printf("reinit:7\n");
return evo->publicFitness;
}
