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Solutions in C up to 4
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.gitignore
vendored
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.gitignore
vendored
@ -5,3 +5,4 @@ get_energ
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get_var
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qmc_uni
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qmc_met
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vmc
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14
hydrogen.h
14
hydrogen.h
@ -46,3 +46,17 @@ double kinetic(double a, double *r, const int l) {
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double e_loc(double a, double *r, const int l) {
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return kinetic(a, r, l) + potential(r, l);
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}
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void drift(double a, double *r, double *d, const int l) {
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double rnorm, fact;
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for (int i = 0; i < l; ++i) {
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rnorm += r[i]*r[i];
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}
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rnorm = sqrt(rnorm);
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fact = -a / rnorm;
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for (int i = 0; i < l; ++i) {
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d[i] = r[i] * fact;
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}
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}
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7
qmc_gaussian.c
Normal file
7
qmc_gaussian.c
Normal file
@ -0,0 +1,7 @@
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#include <math.h>
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#include <stdio.h>
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double gaussian(double *r) {
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// Pending
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return 0;
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}
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34
qmc_stats.h
34
qmc_stats.h
@ -1,5 +1,7 @@
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#include <math.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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void ave_error(double *x, const int n, double obs[2]) {
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// obs[1] --> mean and obs[2] --> err
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@ -25,3 +27,35 @@ void ave_error(double *x, const int n, double obs[2]) {
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}
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}
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void random_gauss(double *z, const int n) {
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// Box Muller method
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const double two_pi = 2.0 * acos(-1.0);
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double u[n + 1];
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srand(time(NULL));
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for (int i = 0; i < n + 1; ++i) {
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u[i] = (double) rand() / RAND_MAX;
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}
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if (!(n & 1)) {
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// n is even
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for (int i = 0; i < n; i+=2) {
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z[i] = sqrt(-2.0 * log(u[i]));
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z[i] = z[i] * cos(two_pi * u[i + 1]);
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z[i + 1] = z[i] * sin(two_pi * u[i + 1]);
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}
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}
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else {
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// n is odd
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for (int i = 0; i < n - 1; i+=2) {
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z[i] = sqrt(-2.0 * log(u[i]));
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z[i] = z[i] * cos(two_pi * u[i + 1]);
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z[i + 1] = z[i] * sin(two_pi * u[i + 1]);
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}
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z[n] = sqrt(-2.0 * log(u[n]));
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z[n] = z[n] * cos(two_pi * u[n + 1]);
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}
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}
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11
tt.c
Normal file
11
tt.c
Normal file
@ -0,0 +1,11 @@
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#include "qmc_stats.h"
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int main() {
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double rnd[3];
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random_gauss(rnd, 3);
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for (int i = 0; i < 3; ++i) {
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printf("val %lf\n", rnd[i]);
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}
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return 0;
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}
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87
vmc_metropolis.c
Normal file
87
vmc_metropolis.c
Normal file
@ -0,0 +1,87 @@
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#include "hydrogen.h"
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#include "qmc_stats.h"
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void variational_montecarlo(double a, const int nmax, double dt,
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double *energy, double *accept) {
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int n_accept;
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double r_old[3], r_new[3], psi_old, psi_new;
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double d_old[3], d_new[3], d2_old, d2_new;
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double rnd[3], aval, fact_a, fact_b, fact_exp, u;
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// Initial position
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random_gauss(r_old, 3);
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psi_old = psi(a, r_old, 3) * psi(a, r_old, 3);
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drift(a, r_old, d_old, 3);
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d2_old = 0.0;
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for (int i = 0; i < 3; ++i) {
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d2_old += d_old[i] * d_old[i];
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}
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*energy = 0.0;
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*accept = 0.0;
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n_accept = 0;
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for (int i = 0; i < nmax; ++i) {
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// Compute and accumulate the local energy
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*energy += e_loc(a, r_old, 3);
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// Compute new position
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random_gauss(rnd, 3);
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for (int j = 0; j < 3; ++j) {
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r_new[j] = r_old[j] + dt * d_old[j] + rnd[j];
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}
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// New WF and acceptance probability
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psi_new = psi(a, r_new, 3) * psi(a, r_new, 3);
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drift(a, r_new, d_new, 3);
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d2_new = 0.0;
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for (int i = 0; i < 3; ++i) {
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d2_new += d_new[i] * d_new[i];
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}
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// Compute the ratio of probabilities q
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fact_a = 0.5 * dt * (d2_new - d2_old);
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fact_b = 0.0;
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for (int i = 0; i < 3; ++i) {
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fact_b += (d_new[i] + d_old[i]) * (r_new[i] - r_old[i]);
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}
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fact_exp = exp(fact_b - fact_a);
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aval = fact_exp * psi_new / psi_old;
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u = (double) rand() / RAND_MAX;
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if (u <= aval) {
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for (int j = 0; j < 3; ++j) {
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r_old[j] = r_new[j];
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d_old[j] = d_new[j];
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}
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psi_old = psi_new;
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n_accept += 1;
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}
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}
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*energy /= nmax;
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*accept = (double) n_accept / nmax;
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}
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int main() {
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const double a = 1.2;
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const double dt = 1.0;
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const long nmax = 1e5;
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int nruns = 30;
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srand(time(NULL));
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double ene[nruns], acc[nruns], obs[2];
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for (int i = 0; i < nruns; ++i) {
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variational_montecarlo(a, nmax, dt, &ene[i], &acc[i]);
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}
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ave_error(ene, nruns, obs);
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printf("E = %.5lf +/- %.5lf\n", obs[0], obs[1]);
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ave_error(acc, nruns, obs);
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printf("A = %.5lf +/- %.5lf\n", obs[0], obs[1]);
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return 0;
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}
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