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propagators.cc
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executable file
·504 lines (476 loc) · 14 KB
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/*
* maximum likelihood fit of diffusive model to simulation trajectories
*/
#define VERBOSE
#include <cstdio>
#include <cstdlib>
#include <vector>
#include <string>
#include <cmath>
#include <unistd.h>
#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>
#include <gsl/gsl_matrix.h>
#include <gsl/gsl_vector.h>
#include <gsl/gsl_blas.h>
#include <gsl/gsl_eigen.h>
#include <gsl/gsl_math.h>
#include "diff_model.h"
using namespace std;
void parse_cmd(const int largc, char **largv, double& D0,
double &dD, double &dF, double &stiffness, int &nsteps, int &nprint,
string &outp_name, vector<string> &mat_files, string &restart_file,
string &restart_save_file, string &propagator_file,
bool &pbc, int &seed, double &T1, double &T0,
double &lag, const char *usage)
{
// defaults
string NONE = "none";
D0 = -1.0; // default, i.e. not set!
dD = 0.01; // scale for random moves in ln(D)
dF = 0.01; // scale for random moves in F
nsteps = 10000; // number of mc steps
nprint = 100; // frq for writing output
stiffness = -1.0; // i.e. no stiffness
outp_name = "default.dat";
restart_file = "none";
propagator_file = "none";
restart_save_file = "none";
pbc = false;
seed = 27041994;
T0 = 1.0;
T1 = 1.0;
int nmat = 0;
int c;
//
if (largc == 1) {
fprintf(stdout,"%s\n",usage);
exit(0);
}
while (1) {
c=getopt(largc,largv,"ho:D:d:f:n:p:s:S:PT:e:r:R:A:g:t:");
if (c == -1) // no more options
break;
switch (c) {
case 'h':
fprintf(stdout,"%s\n",usage);
exit(0);
break;
case 'o':
outp_name = optarg;
break;
case 't':
lag = atof(optarg);
break;
case 'D':
D0 = atof(optarg);
break;
case 'd':
dD = atof(optarg);
break;
case 'f':
dF = atof(optarg);
break;
case 'n':
nsteps = atoi(optarg);
break;
case 'p':
nprint = atoi(optarg);
break;
case 'S':
stiffness = atof(optarg);
break;
case 's':
seed = atoi(optarg);
break;
case 'r':
restart_file = optarg; // read for this run...
break;
case 'R':
restart_save_file = optarg; // write for the next run...
break;
case 'g':
propagator_file = optarg; // write for the next run...
break;
case 'P':
pbc = true;
break;
case 'A':
T0 = atof(optarg);
break;
case 'T':
T1 = atof(optarg);
break;
default:
fprintf(stderr,"?? getopt returned character code 0%o ??\n", c);
fprintf(stderr,"%s\n",usage);
exit(1);
}
}
nmat = largc-optind;
mat_files.resize(nmat);
for (int i=0; i<nmat; i++) {
mat_files[i] = largv[optind+i];
}
#ifdef VERBOSE
fprintf(stdout,"==================================================\n");
fprintf(stdout,"Input read:\n");
fprintf(stdout," Output file name: %s\n",outp_name.c_str());
fprintf(stdout," Initial guess at D: %12.6e\n",D0);
fprintf(stdout," Moves in ln(D): %12.6e\n",dD);
fprintf(stdout," Moves in F(Q): %12.6e\n",dF);
fprintf(stdout," # MC steps: %8i\n",nsteps);
fprintf(stdout," Print frequency: %8i\n",nprint);
fprintf(stdout,"Initial Temperature: %8.3f\n",T0);
fprintf(stdout," Final Temperature: %8.3f\n",T1);
fprintf(stdout,"Transition matrix files:\n");
for (int i=0; i<nmat; i++) {
fprintf(stdout,"\t%s\n",mat_files[i].c_str());
}
if (restart_file != NONE) {
fprintf(stdout," Reading restart from: %s\n",restart_file.c_str());
}
if (restart_save_file != NONE) {
fprintf(stdout," Saving restart to: %s\n",restart_save_file.c_str());
}
if (propagator_file != NONE) {
fprintf(stdout," Saving final propagators to: %s\n",propagator_file.c_str());
}
fprintf(stdout,"==================================================\n");
#endif // VERBOSE
return;
}
void read_matrices(vector<string> &mat_files, vector<tmat *> &TMAT)
{
TMAT.resize(mat_files.size());
for (int i=0; i<mat_files.size(); i++)
TMAT[i] = new tmat(mat_files[i].c_str());
return;
}
void initialize_data(const double &D0, vector<double> &DQ,
vector<double> &FQ, vector<double> &DQ_trial, vector<double> &FQ_trial,
const int &nbin, bool pbc)
{
int D_nbin;
//double dQ;
//dQ = (qhi-qlo)/double(nbin);
D_nbin = ( pbc ? nbin : nbin - 1 );
DQ.resize(D_nbin);
FQ.resize(nbin);
DQ_trial.resize(D_nbin);
FQ_trial.resize(nbin);
for (int i=0; i<D_nbin; i++) {
DQ[i] = DQ_trial[i] = D0;
}
for (int i=0; i<nbin; i++) {
FQ[i] = FQ_trial[i] = 0.0;
}
return;
}
void initialize_data_restart(const double &D0, vector<double> &DQ,
vector<double> &FQ, vector<double> &DQ_trial, vector<double> &FQ_trial,
const int &nbin, bool pbc, const string &restart_file)
{
int D_nbin;
FILE *rst;
const int buflen=1024;
char buf[buflen];
//char *rtn;
int rtn;
int nbin_read, D_nbin_read;
//double dQ;
//dQ = (qhi-qlo)/double(nbin);
D_nbin = ( pbc ? nbin : nbin - 1 );
DQ.resize(D_nbin);
FQ.resize(nbin);
DQ_trial.resize(D_nbin);
FQ_trial.resize(nbin);
rst = fopen(restart_file.c_str(),"r");
if (rst == NULL) {
fprintf(stderr,"Could not open file %s\n",restart_file.c_str());
exit(1);
}
//rtn = fread(buf,buflen,rst);
//nbin_read = atoi(strtok(buf," "));
rtn = fread(&nbin_read,sizeof(int),1,rst);
//rtn = fgets(buf,buflen,rst);
//D_nbin_read = atoi(strtok(buf," "));
rtn = fread(&D_nbin_read,sizeof(int),1,rst);
if (nbin_read != nbin || D_nbin_read != D_nbin) {
fprintf(stderr,"X dimensions of restart data do not agree with transition matrices\n");
fprintf(stderr,"QUITTING!\n");
exit(1);
}
for (int i=0; i<nbin; i++) {
//rtn = fgets(buf,buflen,rst);
//FQ[i] = atof(strtok(buf," "));
rtn = fread(&FQ[i],sizeof(double),1,rst);
}
for (int i=0; i<D_nbin; i++) {
//rtn = fgets(buf,buflen,rst);
//DQ[i] = atof(strtok(buf," "));
rtn = fread(&DQ[i],sizeof(double),1,rst);
}
return;
}
/* create rate matrix K from scratch */
void build_K_1D(gsl_matrix *K, vector<double> &PQ, vector<double> &DQ, int n,bool pbc,double dQ)
{
int iplus,iminus;
double sumK;
gsl_matrix_set_zero(K);
for (int i=0; i<n-1; i++) {
// off diagonal elements
gsl_matrix_set(K,i+1,i, DQ[i]*sqrt(PQ[i+1]/PQ[i])/(dQ*dQ));
gsl_matrix_set(K,i,i+1, DQ[i]*sqrt(PQ[i]/PQ[i+1])/(dQ*dQ));
}
if (pbc) { // take care of boundary elements
gsl_matrix_set(K,0,n-1, DQ[n-1]*sqrt(PQ[0]/PQ[n-1])/(dQ*dQ));
gsl_matrix_set(K,n-1,0, DQ[n-1]*sqrt(PQ[n-1]/PQ[0])/(dQ*dQ));
}
for (int i=0; i<n; i++) {
iplus = ( i<n-1 ? i+1 : 0 );
iminus = ( i>0 ? i-1 : n-1 );
sumK = gsl_matrix_get(K,iminus,i)+gsl_matrix_get(K,iplus,i);
gsl_matrix_set(K,i,i, -sumK);
}
//for (int i=0; i<n;i++) {
// for (int j=0; j<n;j++) {
// fprintf(stdout,"%5.3f ",gsl_matrix_get(K,i,j));
// }
// fprintf(stdout,"\n");
//}
return;
}
void calc_propagators(gsl_matrix *K, gsl_matrix *expKt, vector<double> &Peq,
int n, double tlag,
gsl_matrix *Phalf, gsl_matrix *Pminushalf, gsl_matrix *Ksymm,
gsl_matrix *tmp_a, gsl_matrix *tmp_b, gsl_matrix *evecs,
gsl_vector *evals, gsl_eigen_symmv_workspace *w)
{
double sqtP;
gsl_matrix_set_zero(Phalf);
gsl_matrix_set_zero(Pminushalf);
for (int i=0; i<n; i++) {
//fprintf(stdout,"peq[%i] = %12.6f\n",i,Peq[i]);
sqtP = sqrt(Peq[i]);
gsl_matrix_set(Phalf,i,i,sqtP);
gsl_matrix_set(Pminushalf,i,i,1./sqtP);
}
// this is how we have to multiply two freaking matrices with
// gsl, apparently
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans, 1.,
Pminushalf,K,0.,expKt);
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans, 1., expKt,Phalf,0.,Ksymm);
gsl_eigen_symmv( Ksymm,evals,evecs,w);
gsl_eigen_symmv_sort(evals,evecs,GSL_EIGEN_SORT_ABS_ASC);
//gsl_vector_scale(evals,tlag);
gsl_matrix_set_zero(tmp_a);
for (int i=0;i<n;i++) {
gsl_matrix_set(tmp_a,i,i,exp(gsl_vector_get(evals,i)*tlag));
}
// exp(tKsymm)*U^T
gsl_blas_dgemm(CblasNoTrans,CblasTrans, 1.,tmp_a,evecs,0.,tmp_b);
// exp(tKsymm) = U*exp(tKsymm)*U^T
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans, 1.,evecs,tmp_b,0.,tmp_a);
// exp(tKsymm)*Pminushalf
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans, 1.,tmp_a,Pminushalf,0.,tmp_b);
// exp(tK) = Phalf*exp(tKsymm)*Pminushalf
gsl_blas_dgemm(CblasNoTrans,CblasNoTrans, 1.,Phalf,tmp_b,0.,expKt);
}
void update_1D(vector<vector<double> > &PQ, const vector<double> &FQ, vector<double> &DQ,
const vector<vector<double> > &WQ, vector<gsl_matrix *> &K, int nbin, bool pbc, double dQ)
{
double sum_P;
int nmat = PQ.size();
const double pmin=1.e-20;
for (int u=0; u<nmat; u++) {
sum_P = 0.0;
for (int i=0; i<nbin; i++) {
PQ[u][i] = exp(-FQ[i])*WQ[u][i];
if (PQ[u][i] < pmin)
// fprintf(stdout,"pmin\n");
PQ[u][i] = pmin;
sum_P+=PQ[u][i];
}
for (int i=0; i<nbin; i++) {
PQ[u][i] /= sum_P;
}
build_K_1D(K[u],PQ[u],DQ,nbin,pbc,dQ);
}
return;
}
double log_likelihood(vector<gsl_matrix *> K, vector<tmat *> TMAT, vector<vector<double> > &PQ,
gsl_matrix *expKt, int n,
gsl_matrix *Phalf, gsl_matrix *Pminushalf, gsl_matrix *Ksymm,
gsl_matrix *tmp_a, gsl_matrix *tmp_b, gsl_matrix *evecs,
gsl_vector *evals, gsl_eigen_symmv_workspace *w,
vector<double> &DQ, double stiffness, bool pbc)
{
int D_nbin;
int nmat = TMAT.size();
double log_like = 0.;
double tmp;
double log_stiff = 0.;
for (int u=0; u<nmat; u++) {
calc_propagators(K[u], expKt, PQ[u], n, TMAT[u]->lag,
Phalf, Pminushalf, Ksymm, tmp_a, tmp_b, evecs, evals, w);
for (int i=0; i<n; i++) {
for (int j=0; j<n; j++) {
//fprintf(stdout,"%5i %5i %12.6e %15i %12.6e\n",
// i,j,gsl_matrix_get(expKt,i,j),TMAT[u]->mat[i][j],
// log_like);
log_like += TMAT[u]->mat[i][j]*log(gsl_matrix_get(expKt,i,j));
}
}
//fprintf(stdout,"u,loglike = %i %12.6e\n",u,log_like);
}
if (stiffness>0.0) {
D_nbin = DQ.size();
for (int i=0; i<D_nbin-1; i++) {
tmp = DQ[i]-DQ[i+1];
log_stiff += tmp*tmp/(stiffness*stiffness);
}
if (pbc) {
tmp = DQ[D_nbin-1]-DQ[0];
log_stiff += tmp*tmp/(stiffness*stiffness);
}
}
log_like -= log_stiff;
return log_like;
}
const char *usage = "\n\n"
" Usage\n"
" diffit -o log.dat -D D0 -d dD -f dF -n nsteps -p nprint [-s stiffness]\n"
" [-r restart_file] mat1 mat2 ... matN\n"
" format of mat files:\n"
" line 1: nbin Qlo Qhi lag\n"
" nbin: number of bins along coordinate Q\n"
" Qlo,Qhi: range of Q\n"
" lag: lag time\n"
" line : k1 Q1\n"
" k1: spring constant k1 (units: kBT/L**2) \n"
" L is the unit of the reaction coordinate Q\n"
" Q1: umbrella V1 = 0.5*k1*(Q-Q1)**2 \n"
" remaining lines: square matrix of transitions (nbin x nbin)\n"
"\n\n";
int main(int argc, char **argv)
{
string outp_name,restart_file,propagator_file,restart_save_file;
string NONE = "none";
vector<string> mat_files;
//vector<gsl_matrix *> tmat; // to read the data from mat_files into
vector<tmat *> TMAT; // to read the data from mat_files into
vector<double> FQ, FQ_trial, DQ, DQ_trial, Peq; // global F(Q), D(Q)
vector<vector <double> > PQ, PQ_trial, WQ; // PQ for each umbrella
double D0,dD,dF,dQ,stiffness,Qlo,Qhi,kQ,Q0,L;
double log_like, log_like_trial, sum_P, T1, T, T0, crit,rate;
int nsteps, nprint,nbin,nbin_D, nmat;
vector <gsl_matrix *> K, K_trial;
gsl_matrix *tmp, *Phalf, *Pminushalf, *Ksymm, *tmp_a, *tmp_b, *evecs,*expKt, *Keq;
gsl_vector *evals;
gsl_eigen_symmv_workspace *w;
bool pbc;
FILE *outp;
int seed;
const double pmin = 1.e-20;
double lag;
gsl_rng *twister;
D0 = -1.0;
parse_cmd(argc, argv, D0, dD, dF, stiffness, nsteps, nprint,
outp_name, mat_files, restart_file, restart_save_file,
propagator_file,
pbc, seed, T1, T0, lag, usage);
read_matrices(mat_files,TMAT);
// TODO: include consistency check between input matrices (same nbin, dQ, etc.).
nbin = TMAT[0]->dim;
nbin_D = ( pbc ? nbin : nbin-1 );
Qlo = TMAT[0]->qlo;
Qhi = TMAT[0]->qhi;
L = Qhi - Qlo;
dQ = TMAT[0]->dq;
nmat = TMAT.size();
outp = fopen(outp_name.c_str(),"w");
fprintf(outp,"# free energies discretized at these values of X\n#");
for (int i=0; i<nbin; i++) {
double QQ = Qlo + (double(i)+0.5)*dQ;
fprintf(outp,"%12.6f ",QQ);
}
fprintf(outp,"\n");
fprintf(outp,"# diffusion coefficients discretized at these values of X\n#");
for (int i=0; i<nbin_D; i++) {
double QQ = Qlo + double(i+1)*dQ;
fprintf(outp,"%12.6f ",QQ);
}
fprintf(outp,"\n");
if (restart_file == NONE) {
initialize_data(D0,DQ,FQ,DQ_trial,FQ_trial,nbin,pbc);
} else {
initialize_data_restart(D0,DQ,FQ,DQ_trial,FQ_trial,nbin,pbc,restart_file);
}
// set up initial rate matrices - one for each umbrella
PQ.resize(nmat);
Peq.resize(nbin);
PQ_trial.resize(nmat);
WQ.resize(nmat);
K.resize(nmat);
K_trial.resize(nmat);
tmp = gsl_matrix_alloc(nbin,nbin);
Phalf = gsl_matrix_alloc(nbin,nbin);
Pminushalf = gsl_matrix_alloc(nbin,nbin);
expKt = gsl_matrix_alloc(nbin,nbin);
Ksymm = gsl_matrix_alloc(nbin,nbin);
Keq = gsl_matrix_alloc(nbin,nbin);
tmp_a = gsl_matrix_alloc(nbin,nbin);
tmp_b = gsl_matrix_alloc(nbin,nbin);
//gsl_matrix *expKt = gsl_matrix_alloc(n,n);
evecs = gsl_matrix_alloc(nbin,nbin);
evals = gsl_vector_alloc(nbin);
w = gsl_eigen_symmv_alloc(nbin);
for (int i=0; i<nbin; i++) {
Peq[i] = exp(-FQ[i]);
sum_P+=Peq[i];
}
for (int i=0; i<nbin; i++) {
Peq[i] /= sum_P;
}
// if D0 set, replace all D's by const D
if (D0 > 0.) {
for (int i=0; i< DQ.size(); i++) {
DQ[i] = D0;
}
}
build_K_1D(Keq,Peq,DQ,nbin,pbc,dQ);
// do this to get eigenvalues
calc_propagators(Keq, expKt, Peq, nbin, lag,
Phalf, Pminushalf, Ksymm, tmp_a, tmp_b, evecs, evals, w);
if (propagator_file != NONE) {
outp = fopen(propagator_file.c_str(),"w");
for (int bini=0;bini<nbin; bini++) { // row bin
double Qbini = Qlo + (float(bini)+0.5)*dQ;
fprintf(outp,"%8.3f ",Qbini);
for (int binj=0; binj<nbin; binj++) { // column bin (origin)
double p_it_j0 = gsl_matrix_get(expKt,bini,binj);
fprintf(outp,"%12.6f ",p_it_j0/dQ);
}
fprintf(outp,"\n");
}
fclose(outp);
}
// FREE SPACE
//for (int u=0; u<nmat; u++) {
// gsl_matrix_free(K[u]);
// gsl_matrix_free(K_trial[u]);
//}
gsl_matrix_free(tmp);
gsl_matrix_free(Phalf);
gsl_matrix_free(Pminushalf);
gsl_matrix_free(expKt);
gsl_matrix_free(Ksymm);
gsl_matrix_free(Keq);
gsl_matrix_free(tmp_a);
gsl_matrix_free(tmp_b);
gsl_matrix_free(evecs);
gsl_vector_free(evals);
gsl_eigen_symmv_free(w);
}