*/
#include "common.h"
-#include "bgl.h"
+#include "minimise.h"
#include "mgraph.h"
-#include <gsl/gsl_errno.h>
-#include <gsl/gsl_multimin.h>
-
-#define BEST_F "best"
-#define INITIAL_F "initial"
-
-static double edgewise_vertex_displacement_cost(const Vertices vertices);
-static double noncircular_rim_cost(const Vertices vertices);
-
static void compute_vertex_areas(const Vertices vertices, double areas[N]);
static double best_energy= DBL_MAX;
-static void flushoutput(void);
-static void diee(const char *what) { perror(what); exit(16); }
-static void cost(double *energy, double tweight, double tcost);
-#define COST(weight, compute) cost(&energy, (weight), (compute))
+static void addcost(double *energy, double tweight, double tcost, int pr);
+#define COST(weight, compute) addcost(&energy, (weight), (compute), printing)
/*---------- main energy computation and subroutines ----------*/
-static double compute_energy(const Vertices vertices) {
+double compute_energy(const struct Vertices *vs) {
double vertex_areas[N], energy;
+ int printing;
- compute_vertex_areas(vertices,vertex_areas);
+ compute_vertex_areas(vs->a, vertex_areas);
energy= 0;
- printf("cost > energy |");
- COST(1000.0, edgewise_vertex_displacement_cost(vertices));
- COST(1.0, graph_layout_cost(vertices,vertex_areas));
- COST(1e3, noncircular_rim_cost(vertices));
-
- printf("| total %# e |", energy);
+ printing= printing_check(pr_cost);
+
+ if (printing) printf("cost > energy |");
+
+ COST(1e2, edgewise_vertex_displacement_cost(vs->a));
+ COST(1e2, graph_layout_cost(vs->a,vertex_areas));
+ COST(1e6, noncircular_rim_cost(vs->a));
+
+ if (printing) printf("| total %# e |", energy);
+
if (energy < best_energy) {
FILE *best_f;
int r;
-
- printf(" BEST");
-
- best_f= fopen(BEST_F ".new","wb"); if (!best_f) diee("fopen new best");
- r= fwrite(vertices,sizeof(vertices),1,best_f); if (r!=1) diee("fwrite");
+
+ if (printing) printf(" BEST");
+
+ best_f= fopen(output_file_tmp,"wb"); if (!best_f) diee("fopen new out");
+ r= fwrite(vs->a,sizeof(vs->a),1,best_f); if (r!=1) diee("fwrite");
if (fclose(best_f)) diee("fclose new best");
- if (rename(BEST_F ".new", BEST_F)) diee("rename install new best");
+ if (rename(output_file_tmp,output_file)) diee("rename install new best");
+
+ best_energy= energy;
+ }
+ if (printing) {
+ putchar('\n');
+ flushoutput();
}
- putchar('\n');
- flushoutput();
return energy;
-}
+}
-static void cost(double *energy, double tweight, double tcost) {
+static void addcost(double *energy, double tweight, double tcost, int pr) {
double tenergy= tweight * tcost;
- printf(" %# e > %# e |", tcost, tenergy);
+ if (pr) printf(" %# e > %# e |", tcost, tenergy);
*energy += tenergy;
}
-static void flushoutput(void) {
- if (fflush(stdout) || ferror(stdout)) diee("stdout");
-}
-
static void compute_vertex_areas(const Vertices vertices, double areas[N]) {
int v0,v1,v2, e1,e2, k;
-
+
FOR_VERTEX(v0) {
double total= 0.0;
int count= 0;
-
+
FOR_VEDGE(v0,e1,v1) {
e2= (e1+1) % V6;
v2= EDGE_END2(v0,e2);
if (v2<0) continue;
-
+
double e1v[D3], e2v[D3], av[D3];
K {
e1v[k]= vertices[v1][k] - vertices[v0][k];
}
}
-/*---------- use of GSL ----------*/
-
- /* We want to do multidimensional minimisation.
- *
- * We don't think there are any local minima. Or at least, if there
- * are, the local minimum which will be found from the starting
- * state is the one we want.
- *
- * We don't want to try to provide a derivative of the cost
- * function. That's too tedious (and anyway the polynomial
- * approximation to our our cost function sometimes has high degree
- * in the inputs which means the quadratic model implied by most of
- * the gradient descent minimisers is not ideal).
- *
- * This eliminates most of the algorithms. Nelder and Mead's
- * simplex algorithm is still available and we will try that.
- *
- * In our application we are searching for the optimal locations of
- * N actualvertices in D3 (3) dimensions - ie, we are searching for
- * the optimal metapoint in an N*D3-dimensional space.
- *
- * So eg with X=Y=100, the simplex will contain 300 metavertices
- * each of which is an array of 300 doubles for the actualvertex
- * coordinates. Hopefully this won't be too slow ...
- */
-
-static void gsldie(const char *what, int status) {
- fprintf(stderr,"gsl function failed: %s: %s\n", what, gsl_strerror(status));
- exit(-1);
-}
-
-static gsl_multimin_fminimizer *minimiser;
-
-static const double stop_epsilon= 1e-4;
-
-#define DIM (N*D3)
-
-static double minfunc_f(const gsl_vector *x, void *params) {
- assert(x->size == DIM);
- assert(x->stride == 1);
- return compute_energy((const double(*)[D3])x->data);
-}
-
-int main(int argc, const char *const *argv) {
- gsl_multimin_function multimin_function;
- double size;
- Vertices initial, step_size;
- FILE *initial_f;
- gsl_vector initial_gsl, step_size_gsl;
- int r, v, vx,vy, k;
-
- if (argc>1) { fputs("takes no arguments\n",stderr); exit(8); }
-
- minimiser= gsl_multimin_fminimizer_alloc
- (gsl_multimin_fminimizer_nmsimplex, DIM);
- if (!minimiser) { perror("alloc minimiser"); exit(-1); }
-
- multimin_function.f= minfunc_f;
- multimin_function.n= DIM;
- multimin_function.params= 0;
-
- initial_f= fopen(INITIAL_F,"rb"); if (!initial_f) diee("fopen initial");
- errno= 0; r= fread(initial,sizeof(initial),1,initial_f);
- if (r!=1) diee("fread");
- fclose(initial_f);
-
- initial_gsl.size= DIM;
- initial_gsl.stride= 1;
- initial_gsl.block= 0;
- initial_gsl.owner= 0;
- step_size_gsl= initial_gsl;
-
- initial_gsl.data= (double*)initial;
- step_size_gsl.data= (double*)step_size;
-
- FOR_VERTEX(v)
- K step_size[v][k]= 1e-3;
- FOR_RIM_VERTEX(vx,vy,v)
- step_size[v][3] *= 0.1;
-
- r= gsl_multimin_fminimizer_set(minimiser, &multimin_function,
- &initial_gsl, &step_size_gsl);
- if (r) { gsldie("fminimizer_set",r); }
-
- for (;;) {
- r= gsl_multimin_fminimizer_iterate(minimiser);
- if (r) { gsldie("fminimizer_iterate",r); }
-
- size= gsl_multimin_fminimizer_size(minimiser);
- r= gsl_multimin_test_size(size, stop_epsilon);
-
- printf("size %# e, r=%d\n", size, r);
- flushoutput();
-
- if (r==GSL_SUCCESS) break;
- assert(r==GSL_CONTINUE);
- }
- return 0;
-}
-
/*---------- Edgewise vertex displacement ----------*/
/*
- *
+ *
*
*
* Q `-_
* / | `-_
- * R' - _ _ _/_ | `-.
- * . / M - - - - - S
- * . / | _,-'
- * . / | _,-'
- * . / , P '
- * . / ,-'
- * . /,-'
- * . /'
+ * / | `-.
+ * / M - - - - - S
+ * / ' | _,-'
+ * / ' | _,-'
+ * / ' , P '
+ * / ',-'
+ * /,-'
+ * /'
* R
*
+ * Let delta = 180deg - angle RMS
*
- *
- * Find R', the `expected' location of R, by
- * reflecting S in M (the midpoint of QP).
- *
- * Let 2d = |RR'|
- * b = |PQ|
- * l = |RS|
+ * Let l = |PQ|
+ * d = |RS|
*
* Giving energy contribution:
*
- * 2
- * b d
- * E = F . ----
- * vd, edge PQ vd 3
- * l
- *
- * (The dimensions of this are those of F_vd.)
- *
- * By symmetry, this calculation gives the same answer with R and S
- * exchanged. Looking at the projection in the RMS plane:
+ * 3
+ * l delta
+ * E = F . --------
+ * vd, edge PQ vd d
*
*
- * S'
- * ,'
- * ,'
- * R' ,' 2d" = |SS'| = |RR'| = 2d
- * `-._ ,'
- * `-._ ,' By congruent triangles,
- * ` M with M' = midpoint of RS,
- * ,' `-._ |MM'| = |RR'|/2 = d
- * ,' `-._
- * ,' ` S So use
- * ,' M' _ , - ' d = |MM'|
- * ,' _ , - '
- * R - '
+ * (The dimensions of this are those of F_vd.)
*
- * We choose this value for l (rather than |RM|+|MS|, say, or |RM|)
- * because we want this symmetry and because we're happy to punish
- * bending more than uneveness in the metric.
+ * We calculate delta as atan2(|AxB|, A.B)
+ * where A = PQ, B = QR
*
- * In practice to avoid division by zero we'll add epsilon to l^3
- * and the huge energy ought then to be sufficient for the model to
- * avoid being close to R=S.
+ * In practice to avoid division by zero we'll add epsilon to d and
+ * |AxB| and the huge energy ought then to be sufficient for the
+ * model to avoid being close to R=S.
*/
-static double edgewise_vertex_displacement_cost(const Vertices vertices) {
- static const double l3_epsilon= 1e-6;
+double edgewise_vertex_displacement_cost(const Vertices vertices) {
+ static const double axb_epsilon= 1e-6;
+
+ int pi,e,qi,ri, k; //,si
+ double a[D3], b[D3], axb[D3]; //m[D3],
+ double total_cost= 0;
+
+ FOR_EDGE(qi,e,ri) {
+ pi= EDGE_END2(qi,(e+3)%V6); if (pi<0) continue;
- int pi,e,qi,ri,si, k;
- double m[D3], mprime[D3], b, d2, l, sigma_bd2_l3=0;
+// K m[k]= (vertices[pi][k] + vertices[qi][k]) * 0.5;
+ K a[k]= -vertices[pi][k] + vertices[qi][k];
+ K b[k]= -vertices[qi][k] + vertices[ri][k];
- FOR_EDGE(pi,e,qi) {
- ri= EDGE_END2(pi,(e+1)%V6); if (ri<0) continue;
- si= EDGE_END2(pi,(e+5)%V6); if (si<0) continue;
- assert(ri == EDGE_END2(qi,(e+2)%V6));
- assert(si == EDGE_END2(qi,(e+4)%V6));
+ xprod(axb,a,b);
- K m[k]= (vertices[pi][k] + vertices[qi][k]) * 0.5;
- K mprime[k]= (vertices[ri][k] + vertices[si][k]) * 0.5;
- b= hypotD(vertices[pi], vertices[qi]);
- d2= hypotD2(m, mprime);
- l= hypotD(vertices[ri], vertices[si]);
- double l3 = l*l*l + l3_epsilon;
-
- sigma_bd2_l3 += b * d2 / l3;
+ double delta= atan2(magnD(axb) + axb_epsilon, dotprod(a,b));
+ double cost= pow(delta,3);
+
+ if (!e && !(qi & YMASK))
+ cost *= 10;
+
+ total_cost += cost;
}
- return sigma_bd2_l3;
+ return total_cost;
}
/*---------- noncircular rim cost ----------*/
-static double noncircular_rim_cost(const Vertices vertices) {
+double noncircular_rim_cost(const Vertices vertices) {
int vy,vx,v;
double cost= 0.0;
-
+
FOR_RIM_VERTEX(vy,vx,v) {
double oncircle[3];
/* By symmetry, nearest point on circle is the one with