Merge branch 'tmp'

1 files changed, 0 insertions, 290 deletions

diff --git a/src/fitting_functions.c b/src/fitting_functions.c
deleted file mode 100644
index aa7a305..0000000
--- a/src/fitting_functions.c
+++ /dev/null
@@ -1,290 +0,0 @@
-
-#include "fracture.h"
-#include <gsl/gsl_sf_erf.h>
-#include <gsl/gsl_sf_laguerre.h>
-#include <gsl/gsl_matrix.h>
-#include <gsl/gsl_vector.h>
-#include <gsl/gsl_blas.h>
-#include <gsl/gsl_multifit_nlinear.h>
-
-struct model_params {
-	double nu;
-	double ac;
-	double mc;
-	double ac02;
-	double ac03;
-	double ac12;
-	double ac13;
-	double bc02;
-	double bc03;
-	double bc12;
-	double bc13;
-	double Ac20;
-	double Ac21;
-	double Ac22;
-	double Ac23;
-	double Ac30;
-	double Ac31;
-	double Ac32;
-	double Ac33;
-	double Bc20;
-	double Bc21;
-	double Bc22;
-	double Bc23;
-	double Bc30;
-	double Bc31;
-	double Bc32;
-	double Bc33;
-};
-
-struct data {
-	uint_t nc;
-	uint_t *Ls_c;
-	double *betas_c;
-	double *vals_c2;
-	double *vals_c3;
-};
-
-double Jc(uint_t n, uint_t o, struct model_params *par, double x) {
-	double nu, ac, mc, ac0n, bc0n, *Acn, yc, sum;
-
-	nu = par->nu;
-	ac = par->ac;
-	mc = par->mc;
-	ac0n = *(&(par->ac02) + (n - 2) * sizeof(double));
-	bc0n = *(&(par->bc02) + (n - 2) * sizeof(double));
-	Acn = &(par->Ac20) + (n - 2) * o * sizeof(double);
-
-	yc = (log(x) - mc) / ac;
-
-	sum = 0;
-
-	for (uint_t i = 0; i < o; i++) {
-		sum += Acn[i] * gsl_sf_laguerre_n(i, 0, yc);
-	}
-
-	return exp(ac0n + bc0n * (2 - gsl_sf_erf(yc)) + exp(-gsl_pow_2(yc)) * sum);
-}
-
-double Kc(uint_t n, uint_t o, struct model_params *par, double x) {
-	double nu, ac, mc, ac1n, bc1n, *Bcn, yc, sum;
-
-	nu = par->nu;
-	ac = par->ac;
-	mc = par->mc;
-	ac1n = *(&(par->ac12) + (n - 2) * sizeof(double));
-	bc1n = *(&(par->bc12) + (n - 2) * sizeof(double));
-	Bcn = &(par->Bc20) + (n - 2) * o * sizeof(double);
-
-	yc = (log(x) - mc) / ac;
-
-	sum = 0;
-
-	for (uint_t i = 0; i < o; i++) {
-		sum += Bcn[i] * gsl_sf_laguerre_n(i, 0, yc);
-	}
-
-	return exp(ac1n + bc1n * (2 - gsl_sf_erf(yc)) + exp(-gsl_pow_2(yc)) * sum);
-}
-
-double sc(uint_t n, uint_t o, struct model_params *par, uint_t L, double beta) {
-	double nu, bLnu, deltanu, sigmanu, tau, Lntau, Ldelta;
-
-	nu = par->nu;
-	deltanu = 1.5;
-	sigmanu = 48. / 91;
-	tau = 187. / 91;
-
-	bLnu = beta * exp(log(L) / nu);
-	Lntau = exp((n + 1 - tau) / sigmanu * log(L));
-	Ldelta = exp(-deltanu * log(L));
-
-	return Lntau * (Jc(n, o, par, bLnu) + Ldelta * Kc(n, 0, par, bLnu));
-}
-
-int f_moms(const gsl_vector *x, void *params, gsl_vector *f) {
-	struct data *dat = (struct data *)params;
-
-	for (uint_t i = 0; i < dat->nc; i++) {
-		double f2i = sc(2, 4, (struct model_params *)x->data, dat->Ls_c[i], dat->betas_c[i]);
-		double F2i = dat->vals_c2[i];
-
-		f2i = log(f2i);
-		F2i = log(F2i);
-
-		gsl_vector_set(f, i, f2i - F2i);
-
-		double f3i = sc(3, 4, (struct model_params *)x->data, dat->Ls_c[i], dat->betas_c[i]);
-		double F3i = dat->vals_c3[i];
-
-		f3i = log(f3i);
-		F3i = log(F3i);
-
-		gsl_vector_set(f, dat->nc + i, f3i - F3i);
-	}
-
-	return GSL_SUCCESS;
-}
-
-void mom(uint_t len, uint_t n, uint32_t *data, double result[2]) {
-	uint_t total = 0;
-	double mom = 0;
-	double mom_err = 0;
-
-	for (uint_t i = 0; i < len; i++) {
-		uint32_t datai = data[i];
-		double in = pow(i, n);
-
-		total += datai;
-		mom += in * datai;
-		mom_err += gsl_pow_2(in) * datai; 
-	}
-
-	double momf = mom / total;
-	double momf_err = momf * sqrt(mom_err / gsl_pow_2(mom) + 1 / total);
-
-	result[0] = momf;
-	result[1] = momf_err;
-}
-
-void
-callback(const size_t iter, void *params,
-         const gsl_multifit_nlinear_workspace *w)
-{
-  gsl_vector *f = gsl_multifit_nlinear_residual(w);
-
-  fprintf(stderr, "iter %2zu: |f(x)| = %.4f\n",
-          iter,
-          gsl_blas_dnrm2(f));
-}
-
-
-int main(int argc, char *argv[]) {
-	struct data *d = (struct data *)malloc(sizeof(struct data));
-	uint_t nc = argc - 1;
-	uint_t *Ls_c = (uint_t *)malloc(nc * sizeof(uint_t));
-	double *betas_c = (double *)malloc(nc * sizeof(double));
-	double *vals_c2 = (double *)malloc(nc * sizeof(double));
-	double *weights_c2 = (double *)malloc(nc * sizeof(double));
-	double *vals_c3 = (double *)malloc(nc * sizeof(double));
-	double *weights_c3 = (double *)malloc(nc * sizeof(double));
-
-	double chisq, chisq0;
-
-	d->nc = nc;
-	d->Ls_c = Ls_c;
-	d->betas_c = betas_c;
-	d->vals_c2 = vals_c2;
-	d->vals_c3 = vals_c3;
-
-	for (uint_t i = 0; i < nc; i++) {
-		char *fn = argv[1 + i];
-		char *buff = malloc(20 * sizeof(char));
-		uint_t pos = 0; uint_t c = 0;
-		while (c < 4) {
-			if (fn[pos] == '_') {
-				c++;
-			}
-			pos++;
-		}
-		c = 0;
-		while (fn[pos] != '_') {
-			buff[c] = fn[pos];
-			pos++;
-			c++;
-		}
-		buff[c] = '\0';
-		Ls_c[i] = atoi(buff);
-		c = 0;
-		pos++;
-		while (fn[pos] != '_') {
-			buff[c] = fn[pos];
-			pos++;
-			c++;
-		}
-		buff[c] = '\0';
-		betas_c[i] = atof(buff);
-		free(buff);
-
-		uint_t dist_len = 4 * pow(Ls_c[i], 2);
-		uint32_t *dist = malloc(dist_len * sizeof(uint32_t));
-		FILE *dist_file = fopen(fn, "rb");
-		fread(dist, sizeof(uint32_t), dist_len, dist_file);
-		fclose(dist_file);
-		{
-			double mom2[2];
-			mom(dist_len, 2, dist, mom2);
-			vals_c2[i] = mom2[0];
-			weights_c2[i] = mom2[1];
-
-			double mom3[2];
-			mom(dist_len, 3, dist, mom3);
-			vals_c3[i] = mom3[0];
-			weights_c3[i] = mom3[1];
-		}
-		free(dist);
-	}
-
-	const gsl_multifit_nlinear_type *T = gsl_multifit_nlinear_trust;
-	gsl_multifit_nlinear_workspace *w;
-	gsl_multifit_nlinear_fdf fdf;
-	gsl_multifit_nlinear_parameters fdf_params = gsl_multifit_nlinear_default_parameters();
-	uint_t n = 2 * nc;
-	uint_t p = 27;
-
-	double x_init[27] = { 1.56, .3, 2, -6, -10, -10, -10, 10, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
-	double weights[n];
-	for (uint_t i = 0; i < nc; i++) {
-		weights[i] = 1/gsl_pow_2(weights_c2[i] / vals_c2[i]);
-		weights[nc + i] = 1/gsl_pow_2(weights_c3[i] / vals_c3[i]);
-	}
-
-	gsl_vector_view x = gsl_vector_view_array(x_init, p);
-	gsl_vector_view wts = gsl_vector_view_array(weights, n);
-
-	gsl_vector *f;
-
-	fdf.f = f_moms;
-	fdf.df = NULL;
-	fdf.fvv = NULL;
-	fdf.n = n;
-	fdf.p = p;
-	fdf.params = d;
-
-	fdf_params.trs = gsl_multifit_nlinear_trs_lm;
-
-	w = gsl_multifit_nlinear_alloc(T, &fdf_params, n, p);
-	gsl_multifit_nlinear_winit(&x.vector, &wts.vector, &fdf, w);
-	f = gsl_multifit_nlinear_residual(w);
-	gsl_blas_ddot(f, f, &chisq0);
-
-	const double xtol = 0.0;
-	const double gtol = 0.0;
-	const double ftol = 0.0;
-
-	int info;
-	int status = gsl_multifit_nlinear_driver(100, xtol, gtol, ftol, callback, NULL, &info, w);
-	gsl_blas_ddot(f, f, &chisq);
-
-	fprintf(stderr, "summary from method '%s/%s'\n",
-			          gsl_multifit_nlinear_name(w),
-								          gsl_multifit_nlinear_trs_name(w));
-
-	fprintf(stderr, "number of iterations: %zu\n",
-			          gsl_multifit_nlinear_niter(w));
-	  fprintf(stderr, "function evaluations: %zu\n", fdf.nevalf);
-			  fprintf(stderr, "reason for stopping: %s\n",
-						          (info == 1) ? "small step size" : "small gradient");
-				  fprintf(stderr, "initial |f(x)| = %g\n", sqrt(chisq0));
-					  fprintf(stderr, "final   |f(x)| = %g\n", sqrt(chisq));
-
-	free(Ls_c);
-	free(betas_c);
-	free(vals_c2);
-	free(weights_c2);
-	free(vals_c3);
-	free(weights_c3);
-
-	return 0;
-}
-