.gitignore: profiling output files

[matchsticks-search.git] / main.c

diff --git a/main.c b/main.c
index 11bdf0fba64e7605e11e54511142be5d20bbf689..57a979654f705bd01912fe773cd01668a92ddb07 100644 (file)
--- a/main.c
+++ b/main.c
@@ -58,7 +58,8 @@
  *
  * We search all possible adjacency matrices, and for each one we run
  * GLPK's simplex solver.  We represent the adjacency matrix as an
- * array of bitmaps.
+ * array of bitmaps: one word per input stick, with one bit per output
+ * stick.
  *
  * However, there are a couple of wrinkles:
  *
@@ -76,11 +77,15 @@
  * nondecreasing in array order.
  *
  * Once we have a solution, we also avoid considering any candidate
- * which involves dividing one of the output sticks into so many
+ * which involves dividing one of the input sticks into so many
  * fragment that the smallest fragment would necessarily be no bigger
  * than our best solution.  That is, we reject candidates where any of
  * the hamming weights of the adjacency bitmap words are too large.
  *
+ * We further winnow the set of possible adjacency matrices, by
+ * ensuring the same bit is not set in too many entries of adjmatrix
+ * (ie, as above, only considering output sticks).
+ *
  * And, we want to do the search in order of increasing maximum
  * hamming weight.  This is because in practice optimal solutions tend
  * to have low hamming weight, and having found a reasonable solution
@@ -512,7 +517,7 @@ static void optimise(bool doprint) {
   glp_set_obj_coef(prob, X_minimum, 1);
 
   for (i=0; i<n; i++) {
-    for (j=0, jbit=1; j<m; j++, jbit<<=1) {
+    FOR_BITS(j,m) {
       if (!(adjmatrix[i] & jbit))
        continue;
       /* x_total_i += x_minimum */