X-Git-Url: http://www.chiark.greenend.org.uk/ucgi/~ianmdlvl/git?p=matchsticks-search.git;a=blobdiff_plain;f=main.c;h=3ee58c59760729eba27ae8b88123caa59d9062b0;hp=d2900152f1336eaace2a8b656024f9f48dde100e;hb=86575cc1251eca190aacac95dcb498d4efb4e7a2;hpb=c40dd9fe9a488a35d31dcf0083c4271660678f08 diff --git a/main.c b/main.c index d290015..3ee58c5 100644 --- a/main.c +++ b/main.c @@ -5,7 +5,13 @@ * * Invoke as ./main n m * - * The algorithm is faster if the arguments are ordered so that n > m. + * The arguments must be ordered so that n > m: + * n is the number of (more, shorter) input matches of length m + * m is the number of (fewer, longer) output matches of length n + * + * Options: + * -j run in parallel on cores + * -b search only for better than */ /* @@ -58,7 +64,8 @@ * * 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 +83,18 @@ * 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 by ensuring + * that it is not set in too few: each output stick must consist + * of at least two fragments since the output sticks are longer than + * the input ones. + * * 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 @@ -91,6 +105,8 @@ typedef uint32_t AdjWord; #define PRADJ "08"PRIx32 +#define FOR_BITS(j,m) for (j=0, j##bit=1; j < (m); j++, j##bit<<=1) + static int n, m, maxhamweight; static AdjWord *adjmatrix; static AdjWord adjall; @@ -99,7 +115,7 @@ static double best; static glp_prob *best_prob; static AdjWord *best_adjmatrix; -static int n_over_best; +static int n_max_frags=INT_MAX, m_max_frags=INT_MAX; static int *weight; static unsigned printcounter; @@ -117,7 +133,24 @@ static void progress_eol(void) { static void set_best(double new_best) { best = new_best; - n_over_best = floor(n / best); + /* + * When computing n_max_frags, we want to set a value that will skip + * anything that won't provide strictly better solutions. So we + * want + * frags < n / best + * _ _ + * <=> frags < | n / best | + * _ _ + * <=> frags <= | n / best | - 1 + * + * But best values from glpk are slightly approximate, so we + * subtract a fudge factor from our target. + */ + double near_best = best * 0.98 - 0.02; + if (near_best > 0) { + n_max_frags = ceil(n / near_best) - 1; + m_max_frags = ceil(m / near_best) - 1; + } } /*----- multicore support -----*/ @@ -232,6 +265,8 @@ static void multicore_outer_iteration(int i, AdjWord min) { } static void mc_iterate_worker(void) { + static time_t lastprint; + for (;;) { mc_rwvsetup_outer(); ssize_t r = readv(mc_work[0], mc_iov, mc_niovs); @@ -241,8 +276,12 @@ static void mc_iterate_worker(void) { bool ok = maxhamweight_ok(); if (!ok) continue; - ok = preconsider_ok(multicore_iteration_boundary, 1); - progress_eol(); + time_t now = time(0); + bool doprint = now != lastprint; + lastprint = now; + + ok = preconsider_ok(multicore_iteration_boundary, doprint); + if (doprint) progress_eol(); if (!ok) continue; /* stop iterate_recurse from trying to run multicore_outer_iteration */ @@ -308,10 +347,10 @@ static void multicore(void) { for (w=0; w best; + return maxhamweight <= m_max_frags; } static bool preconsider_ok(int nwords, bool doprint) { @@ -384,14 +424,13 @@ static bool preconsider_ok(int nwords, bool doprint) { bool had_max = 0; for (i=0, totalfrags=0; i= maxhamweight); - totalfrags += frags; PRINTF("%"PRADJ" ", adjmatrix[i]); - double maxminsize = (double)m / frags; - if (maxminsize <= best) { + if (frags > m_max_frags) { PRINTF(" too fine"); goto out; } + had_max += (frags >= maxhamweight); + totalfrags += frags; } if (!had_max) { /* Skip this candidate as its max hamming weight is lower than @@ -411,6 +450,7 @@ static void optimise(bool doprint) { /* Consider the best answer (if any) for a given adjacency matrix */ glp_prob *prob = 0; int i, j; + AdjWord jbit; /* * Up to a certain point, optimise() can be restarted. We use this @@ -496,8 +536,8 @@ static void optimise(bool doprint) { glp_set_obj_coef(prob, X_minimum, 1); for (i=0; i= n) { + for (j=0; j= n_over_best) + if (weight[j] > n_max_frags) goto takeout; iterate_recurse(i+1, adjmatrix[i]); takeout: - for (int j = 0; j < m; j++) - if (adjmatrix[i] & one_adj_bit(j)) + FOR_BITS(j,m) + if (adjmatrix[i] & jbit) weight[j]--; again: @@ -646,6 +693,14 @@ static void iterate(void) { static void report(void) { fprintf(stderr, "\n"); + if (best_adjmatrix) { + int i; + fprintf(stderr," "); + for (i=0; i= 0) { + double best_to_set = -1.0; /* means 'don't' */ + while ((opt = getopt(argc,argv,"j:b:")) >= 0) { switch (opt) { case 'j': ncpus = atoi(optarg); break; + case 'b': best_to_set = atof(optarg); break; case '+': assert(!"bad option"); default: abort(); } @@ -688,6 +747,8 @@ int main(int argc, char **argv) { assert(argc==3); n = atoi(argv[1]); m = atoi(argv[2]); + assert(n > m); + if (best_to_set > 0) set_best(best_to_set); prep();