... | ... |
@@ -365,31 +365,30 @@ |
365 | 365 |
Cost c, min = 0; |
366 | 366 |
int cnt = _block_size; |
367 |
int e |
|
367 |
int e; |
|
368 | 368 |
for (e = _next_arc; e < _search_arc_num; ++e) { |
369 | 369 |
c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
370 | 370 |
if (c < min) { |
371 | 371 |
min = c; |
372 |
|
|
372 |
_in_arc = e; |
|
373 | 373 |
} |
374 | 374 |
if (--cnt == 0) { |
375 |
if (min < 0) |
|
375 |
if (min < 0) goto search_end; |
|
376 | 376 |
cnt = _block_size; |
377 | 377 |
} |
378 | 378 |
} |
379 |
if (min == 0 || cnt > 0) { |
|
380 |
for (e = 0; e < _next_arc; ++e) { |
|
381 |
c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
382 |
if (c < min) { |
|
383 |
min = c; |
|
384 |
min_arc = e; |
|
385 |
} |
|
386 |
if (--cnt == 0) { |
|
387 |
if (min < 0) break; |
|
388 |
cnt = _block_size; |
|
389 |
|
|
379 |
for (e = 0; e < _next_arc; ++e) { |
|
380 |
c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
381 |
if (c < min) { |
|
382 |
min = c; |
|
383 |
_in_arc = e; |
|
384 |
} |
|
385 |
if (--cnt == 0) { |
|
386 |
if (min < 0) goto search_end; |
|
387 |
cnt = _block_size; |
|
390 | 388 |
} |
391 | 389 |
} |
392 | 390 |
if (min >= 0) return false; |
393 |
|
|
391 |
|
|
392 |
search_end: |
|
394 | 393 |
_next_arc = e; |
395 | 394 |
return true; |
... | ... |
@@ -429,5 +428,5 @@ |
429 | 428 |
{ |
430 | 429 |
// The main parameters of the pivot rule |
431 |
const double LIST_LENGTH_FACTOR = |
|
430 |
const double LIST_LENGTH_FACTOR = 0.25; |
|
432 | 431 |
const int MIN_LIST_LENGTH = 10; |
433 | 432 |
const double MINOR_LIMIT_FACTOR = 0.1; |
... | ... |
@@ -446,5 +445,5 @@ |
446 | 445 |
bool findEnteringArc() { |
447 | 446 |
Cost min, c; |
448 |
int e |
|
447 |
int e; |
|
449 | 448 |
if (_curr_length > 0 && _minor_count < _minor_limit) { |
450 | 449 |
// Minor iteration: select the best eligible arc from the |
... | ... |
@@ -457,14 +456,11 @@ |
457 | 456 |
if (c < min) { |
458 | 457 |
min = c; |
459 |
|
|
458 |
_in_arc = e; |
|
460 | 459 |
} |
461 |
if (c >= 0) { |
|
460 |
else if (c >= 0) { |
|
462 | 461 |
_candidates[i--] = _candidates[--_curr_length]; |
463 | 462 |
} |
464 | 463 |
} |
465 |
if (min < 0) { |
|
466 |
_in_arc = min_arc; |
|
467 |
return true; |
|
468 |
} |
|
464 |
if (min < 0) return true; |
|
469 | 465 |
} |
470 | 466 |
|
... | ... |
@@ -478,25 +474,24 @@ |
478 | 474 |
if (c < min) { |
479 | 475 |
min = c; |
480 |
|
|
476 |
_in_arc = e; |
|
481 | 477 |
} |
482 |
if (_curr_length == _list_length) |
|
478 |
if (_curr_length == _list_length) goto search_end; |
|
483 | 479 |
} |
484 | 480 |
} |
485 |
if (_curr_length < _list_length) { |
|
486 |
for (e = 0; e < _next_arc; ++e) { |
|
487 |
c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
488 |
if (c < 0) { |
|
489 |
_candidates[_curr_length++] = e; |
|
490 |
if (c < min) { |
|
491 |
min = c; |
|
492 |
min_arc = e; |
|
493 |
} |
|
494 |
if (_curr_length == _list_length) break; |
|
481 |
for (e = 0; e < _next_arc; ++e) { |
|
482 |
c = _state[e] * (_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
483 |
if (c < 0) { |
|
484 |
_candidates[_curr_length++] = e; |
|
485 |
if (c < min) { |
|
486 |
min = c; |
|
487 |
_in_arc = e; |
|
495 | 488 |
} |
489 |
if (_curr_length == _list_length) goto search_end; |
|
496 | 490 |
} |
497 | 491 |
} |
498 | 492 |
if (_curr_length == 0) return false; |
493 |
|
|
494 |
search_end: |
|
499 | 495 |
_minor_count = 1; |
500 |
_in_arc = min_arc; |
|
501 | 496 |
_next_arc = e; |
502 | 497 |
return true; |
... | ... |
@@ -550,5 +545,5 @@ |
550 | 545 |
{ |
551 | 546 |
// The main parameters of the pivot rule |
552 |
const double BLOCK_SIZE_FACTOR = 1. |
|
547 |
const double BLOCK_SIZE_FACTOR = 1.0; |
|
553 | 548 |
const int MIN_BLOCK_SIZE = 10; |
554 | 549 |
const double HEAD_LENGTH_FACTOR = 0.1; |
... | ... |
@@ -579,37 +574,33 @@ |
579 | 574 |
// Extend the list |
580 | 575 |
int cnt = _block_size; |
581 |
int last_arc = 0; |
|
582 | 576 |
int limit = _head_length; |
583 | 577 |
|
584 |
for ( |
|
578 |
for (e = _next_arc; e < _search_arc_num; ++e) { |
|
585 | 579 |
_cand_cost[e] = _state[e] * |
586 | 580 |
(_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
587 | 581 |
if (_cand_cost[e] < 0) { |
588 | 582 |
_candidates[_curr_length++] = e; |
589 |
last_arc = e; |
|
590 | 583 |
} |
591 | 584 |
if (--cnt == 0) { |
592 |
if (_curr_length > limit) |
|
585 |
if (_curr_length > limit) goto search_end; |
|
593 | 586 |
limit = 0; |
594 | 587 |
cnt = _block_size; |
595 | 588 |
} |
596 | 589 |
} |
597 |
if (_curr_length <= limit) { |
|
598 |
for (int e = 0; e < _next_arc; ++e) { |
|
599 |
_cand_cost[e] = _state[e] * |
|
600 |
(_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
601 |
if (_cand_cost[e] < 0) { |
|
602 |
_candidates[_curr_length++] = e; |
|
603 |
last_arc = e; |
|
604 |
} |
|
605 |
if (--cnt == 0) { |
|
606 |
if (_curr_length > limit) break; |
|
607 |
limit = 0; |
|
608 |
cnt = _block_size; |
|
609 |
|
|
590 |
for (e = 0; e < _next_arc; ++e) { |
|
591 |
_cand_cost[e] = _state[e] * |
|
592 |
(_cost[e] + _pi[_source[e]] - _pi[_target[e]]); |
|
593 |
if (_cand_cost[e] < 0) { |
|
594 |
_candidates[_curr_length++] = e; |
|
595 |
} |
|
596 |
if (--cnt == 0) { |
|
597 |
if (_curr_length > limit) goto search_end; |
|
598 |
limit = 0; |
|
599 |
cnt = _block_size; |
|
610 | 600 |
} |
611 | 601 |
} |
612 | 602 |
if (_curr_length == 0) return false; |
613 |
|
|
603 |
|
|
604 |
search_end: |
|
614 | 605 |
|
615 | 606 |
// Make heap of the candidate list (approximating a partial sort) |
... | ... |
@@ -619,4 +610,5 @@ |
619 | 610 |
// Pop the first element of the heap |
620 | 611 |
_in_arc = _candidates[0]; |
612 |
_next_arc = e; |
|
621 | 613 |
pop_heap( _candidates.begin(), _candidates.begin() + _curr_length, |
622 | 614 |
_sort_func ); |
0 comments (0 inline)