#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 const char *input_file, *output_file;
+static char *output_file_tmp;
static void compute_vertex_areas(const Vertices vertices, double areas[N]);
static double best_energy= DBL_MAX;
-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);
+#define COST(weight, compute) addcost(&energy, (weight), (compute))
/*---------- main energy computation and subroutines ----------*/
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));
-
+ COST(1e4, edgewise_vertex_displacement_cost(vertices));
+ COST(1e2, graph_layout_cost(vertices,vertex_areas));
+// COST(1e4, noncircular_rim_cost(vertices));
+
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");
+
+ best_f= fopen(output_file_tmp,"wb"); if (!best_f) diee("fopen new out");
+ r= fwrite(vertices,sizeof(Vertices),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;
}
putchar('\n');
flushoutput();
return energy;
-}
+}
-static void cost(double *energy, double tweight, double tcost) {
+static void addcost(double *energy, double tweight, double tcost) {
double tenergy= tweight * tcost;
printf(" %# e > %# e |", tcost, tenergy);
*energy += tenergy;
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];
* 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 ...
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); }
+ int r, v, k;
+
+ if (argc!=3 || argv[1][0]=='-' || strncmp(argv[2],"-o",2))
+ { fputs("usage: minimise <input> -o<output\n",stderr); exit(8); }
+ input_file= argv[1];
+ output_file= argv[2]+2;
+ if (asprintf(&output_file_tmp,"%s.new",output_file) <= 0) diee("asprintf");
+
+ graph_layout_prepare();
+
minimiser= gsl_multimin_fminimizer_alloc
(gsl_multimin_fminimizer_nmsimplex, DIM);
if (!minimiser) { perror("alloc minimiser"); exit(-1); }
multimin_function.n= DIM;
multimin_function.params= 0;
- initial_f= fopen(INITIAL_F,"rb"); if (!initial_f) diee("fopen initial");
+ initial_f= fopen(input_file,"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.owner= 0;
step_size_gsl= initial_gsl;
- initial_gsl.data= (double*)initial;
- step_size_gsl.data= (double*)step_size;
+ initial_gsl.data= &initial[0][0];
+ step_size_gsl.data= &step_size[0][0];
FOR_VERTEX(v)
- K step_size[v][k]= 1e-3;
- FOR_RIM_VERTEX(vx,vy,v)
- step_size[v][3] *= 0.1;
+ K step_size[v][k]= 0.03;
+//int vx,vy;
+// FOR_RIM_VERTEX(vx,vy,v)
+// step_size[v][3] *= 0.1;
GA( gsl_multimin_fminimizer_set(minimiser, &multimin_function,
&initial_gsl, &step_size_gsl) );
-
+
for (;;) {
GA( gsl_multimin_fminimizer_iterate(minimiser) );
size= gsl_multimin_fminimizer_size(minimiser);
r= gsl_multimin_test_size(size, stop_epsilon);
- printf("size %# e, r=%d\n", size, r);
+ printf("%*s size %# e, r=%d\n", 135,"", size, r);
flushoutput();
if (r==GSL_SUCCESS) break;
/*---------- 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:
+ * 2
+ * 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 = RM, B = MS
*
- * 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,si, k;
- double m[D3], mprime[D3], b, d2, l, sigma_bd2_l3=0;
+ double m[D3], a[D3], b[D3], axb[D3];
+ double total_cost= 0;
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));
-
+
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;
+ K a[k]= -vertices[ri][k] + m[k];
+ K b[k]= -m[k] + vertices[si][k];
- sigma_bd2_l3 += b * d2 / l3;
+ xprod(axb,a,b);
+
+ double delta= atan2(magnD(axb) + axb_epsilon, dotprod(a,b));
+ double cost= delta * delta;
+ 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