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/**************************************************************************
* *
* Regina - A Normal Surface Theory Calculator *
* Computational Engine *
* *
* Copyright (c) 1999-2025, Ben Burton *
* For further details contact Ben Burton (bab@debian.org). *
* *
* This program is free software; you can redistribute it and/or *
* modify it under the terms of the GNU General Public License as *
* published by the Free Software Foundation; either version 2 of the *
* License, or (at your option) any later version. *
* *
* As an exception, when this program is distributed through (i) the *
* App Store by Apple Inc.; (ii) the Mac App Store by Apple Inc.; or *
* (iii) Google Play by Google Inc., then that store may impose any *
* digital rights management, device limits and/or redistribution *
* restrictions that are required by its terms of service. *
* *
* This program is distributed in the hope that it will be useful, but *
* WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU *
* General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program. If not, see <https://www.gnu.org/licenses/>. *
* *
**************************************************************************/
#include "link/link.h"
#include "progress/progresstracker.h"
#include "utilities/bitmanip.h"
#include <thread>
// #define DUMP_STAGES
// When tracking progress, try to give much more weight to larger bags.
// (Of course, this should *really* be exponential, but it's nice to see
// some visual progress for smaller bags, so we try not to completely
// dwarf them in the weightings.)
#define HARD_BAG_WEIGHT(bag) (double(bag->size())*(bag->size())*(bag->size()))
/**
* Bracket skein relation:
*
* \ / \ / \_/
* / -> A | | + A^-1 _
* / \ / \ / \
*
* O^k -> (-A^2 - A^-2)^(k-1)
*/
namespace regina {
namespace {
/**
* Defines the granularity of how the naive algorithm allocates bitmasks
* (resolutions of crossings) to the working threads.
*/
constexpr int sliceBits = 10;
/**
* The polynomial -A^-2 - A^2.
*/
const Laurent<Integer> loopPoly { -2, { -1, 0, 0, 0, -1 } };
/**
* Used as a return value when the Jones/bracket calculation has been
* cancelled.
*/
const regina::Laurent<regina::Integer> noResult;
/**
* Internal to bracketNaive().
*
* This function returns the number of loops in the given link that are
* produced by resolving each crossing according to the given bitmask:
*
* - If the <i>i</i>th bit in \a mask is 0, crossing \a i should be
* resolved by turning _left_ when entering along the upper strand.
*
* - If the <i>i</i>th bit in \a mask is 1, crossing \a i should be
* resolved by turning _right_ when entering along the upper strand.
*
* If the array \a loopIDs is non-null, then it will be filled with an
* identifier for each loop. Each identifier will be the minimum of the
* following values that are computed as you follow the loop: when passing
* through crossing \a i, if we encounter the half of the upper strand that
* _exits_ the crossing then we take the value `i`, and if we encounter the
* half of the upper strand that _enters_ the crossing then we take the
* value `i + n`. These identifiers will be returned in the array
* \a loopIDs in sorted order.
*
* If the array \a loopLengths is non-null, then it will be filled with the
* number of strands in each loop (so these should sum to twice the number
* of crossings). These loop lengths will be placed in the array in the
* same order as the loop IDs as described above.
*
* \pre `link.size() < 64` (here 64 is the length of the bitmask type).
*
* \pre If either or both arrays \a loopIDs and \a loopLengths are not null,
* then they are arrays whose size is at least the return value (i.e., the
* number of loops). This typically means that the caller must put an upper
* bound on the number of loops in advance, before calling this routine.
*/
size_t resolutionLoops(const Link& link, uint64_t mask,
size_t* loopIDs = nullptr, size_t* loopLengths = nullptr) {
size_t n = link.size();
// Here we store whether we have seen the half of the upper strand
// at each crossing...
// found[0..n) : ... that exits the crossing
// found[n..2n) : ... that enters the crossing
FixedArray<bool> found(2 * n, false);
size_t loops = 0;
// The following two loops iterate through indices of found[] in
// increasing order.
for (int dirInit = 0; dirInit < 2; ++dirInit) {
for (size_t pos = 0; pos < n; ++pos) {
// dirInit: 1 = with arrows, 0 = against arrows.
// This refers to the direction along the strand as you
// approach the crossing (before you jump to the other strand).
if (! found[pos + (dirInit ? n : 0)]) {
//std::cerr << "LOOP\n";
if (loopIDs)
loopIDs[loops] = pos + (dirInit ? n : 0);
StrandRef s = link.crossing(pos)->upper();
int dir = dirInit;
size_t len = 0;
do {
//std::cerr << "At: " << s <<
// (dir == 1 ? " ->" : " <-") << std::endl;
const uint64_t bit =
uint64_t(1) << s.crossing()->index();
if ( ((mask & bit) && s.crossing()->sign() < 0) ||
((mask & bit) == 0 && s.crossing()->sign() > 0)) {
// Turn in a way consistent with the arrows.
if (dir == 1) {
found[s.crossing()->index() +
(s.strand() ? n : 0)] = true;
s = s.crossing()->next(s.strand() ^ 1);
} else {
found[s.crossing()->index() +
(s.strand() ? 0 : n)] = true;
s = s.crossing()->prev(s.strand() ^ 1);
}
} else {
// Turn in a way inconsistent with the arrows.
if (dir == 1) {
found[s.crossing()->index() + n] = true;
s = s.crossing()->prev(s.strand() ^ 1);
} else {
found[s.crossing()->index()] = true;
s = s.crossing()->next(s.strand() ^ 1);
}
dir ^= 1;
}
++len;
} while (! (dir == dirInit &&
s.crossing()->index() == pos && s.strand() == 1));
if (loopLengths)
loopLengths[loops] = len;
++loops;
}
}
}
return loops;
}
/**
* Computes a partial sum in the naive algorithm for a subset of possible
* resolutions. This is used by bracketNaive(), and is designed to support
* multithreading - each thread uses its own BracketAccumulator, and works
* over a different subset of resolutions.
*/
class BracketAccumulator {
private:
const Link& link_;
// The number of trivial zero-crossing unknot components.
const size_t trivialLoops_;
// In count[i-1], the coefficient of A^k reflects the number of
// resolutions with i loops and multiplier A^k.
//
// Note: we will always have 1 <= i <= #components + #crossings.
FixedArray<Laurent<Integer>> count_;
// The largest number of loops that this accumulator has seen.
// It is guaranteed that count_[i] == 0 for all i >= maxLoops_.
size_t maxLoops_;
public:
BracketAccumulator(const Link& link, size_t trivialLoops) :
link_(link), trivialLoops_(trivialLoops),
count_(link.size() + link.countComponents()), maxLoops_(0) {
}
void accumulate(uint64_t maskBegin, uint64_t maskEnd) {
for (uint64_t mask = maskBegin; mask != maskEnd; ++mask) {
size_t loops = trivialLoops_ + resolutionLoops(link_, mask);
if (loops > maxLoops_)
maxLoops_ = loops;
--loops;
// Set shift = #(0 bits) - #(1 bits) in mask.
long shift = link_.size() -
2 * BitManipulator<uint64_t>::bits(mask);
if (shift > count_[loops].maxExp() ||
shift < count_[loops].minExp())
count_[loops].set(shift, 1);
else
count_[loops].set(shift, count_[loops][shift] + 1);
}
}
/**
* Precondition: this and \a other use the same link, which in
* particular means that their internal \a count_ arrays have the
* same size.
*/
void accumulate(BracketAccumulator&& other) {
if (maxLoops_ >= other.maxLoops_) {
for (size_t i = 0; i < other.maxLoops_; ++i)
count_[i] += std::move(other.count_[i]);
} else {
count_.swap(other.count_);
for (size_t i = 0; i < maxLoops_; ++i)
count_[i] += std::move(other.count_[i]);
maxLoops_ = other.maxLoops_;
}
}
Laurent<Integer> finalise() {
Laurent<Integer> ans;
Laurent<Integer> loopPow = RingTraits<Laurent<Integer>>::one;
for (size_t loops = 0; loops < maxLoops_; ++loops) {
// std::cerr << "count[" << loops << "] = "
// << count[loops] << std::endl;
if (! count_[loops].isZero()) {
count_[loops] *= loopPow;
ans += count_[loops];
}
loopPow *= loopPoly;
}
return ans;
}
};
}
Laurent<Integer> Link::bracketNaive(int threads, ProgressTracker* tracker)
const {
if (components_.empty())
return {};
size_t n = crossings_.size();
if (n >= 64) {
// We cannot use the naive algorithm, since our bitmask
// type (uint64_t) does not contain enough bits.
return bracketTreewidth(tracker);
}
// It is guaranteed that we have at least one strand, though we
// might have zero crossings.
if (tracker)
tracker->newStage("Enumerating resolutions");
size_t nTrivial = countTrivialComponents();
BracketAccumulator acc(*this, nTrivial);
if (threads <= 1 || n <= sliceBits) {
acc.accumulate(0, uint64_t(1) << n);
} else {
uint64_t nextSlice = 0;
uint64_t endSlice = (uint64_t(1) << (n - sliceBits));
std::mutex mutex;
FixedArray<std::thread> thread(threads);
for (int i = 0; i < threads; ++i) {
thread[i] = std::thread([=, this, &mutex, &nextSlice, &acc]() {
BracketAccumulator sub(*this, nTrivial);
uint64_t currSlice;
while (true) {
{
std::scoped_lock lock(mutex);
if (tracker) {
// Check for cancellation.
if (! tracker->setPercent(
double(nextSlice) * 100.0 /
double(endSlice)))
break;
}
if (nextSlice == endSlice) {
acc.accumulate(std::move(sub));
return;
}
currSlice = nextSlice++;
}
sub.accumulate(currSlice << sliceBits,
(currSlice + 1) << sliceBits);
}
});
}
for (int i = 0; i < threads; ++i) {
thread[i].join();
}
}
if (tracker && tracker->isCancelled()) {
return {};
}
return acc.finalise();
}
Laurent<Integer> Link::bracketTreewidth(ProgressTracker* tracker) const {
if (crossings_.empty())
return bracketNaive(1 /* single-threaded */, tracker);
// We are guaranteed >= 1 crossing and >= 1 component.
// Build a nice tree decomposition.
if (tracker)
tracker->newStage("Building tree decomposition", 0.05);
const TreeDecomposition& d = niceTreeDecomposition();
size_t nBags = d.size();
const TreeBag *bag, *child, *sibling;
size_t nEasyBags = 0;
double hardBagWeightSum = 0;
double increment, percent;
if (tracker) {
// Estimate processing stages.
for (bag = d.first(); bag; bag = bag->next()) {
switch (bag->niceType()) {
case NiceType::Forget:
case NiceType::Join:
hardBagWeightSum += HARD_BAG_WEIGHT(bag);
break;
default:
++nEasyBags;
break;
}
}
}
// Each partial solution is a key-value map.
//
// Each key pairs off strands that connect a crossing in the bag with a
// crossing that has been forgotten. Strands are numbered 0..(2n-1),
// where strand i of crossing c is numbered 2c+i.
//
// The key is stored as a sequence x[0 .. 2n-1], where
// - if strand k is being paired off then x[k] is its partner strand;
// - if strand k connects two forgotten crossings then x[k] = -1;
// - otherwise x[k] = -2.
//
// Each value is a Laurent polynomial, which is essentially a
// partially computed bracket polynomial that accounts for those
// crossings that have already been forgotten.
//
// We ignore any 0-crossing unknot components throughout this
// calculation, and only factor them in at the very end when we
// extract the final bracket polynomial.
//
// We will be using ints for strand IDs, since we will be storing
// exponentially many keys in our key-value map and so space is at a
// premium. Having strand IDs that fit into an int is enforced through
// our preconditions.
size_t nStrands = 2 * size();
size_t loops;
using Key = LightweightSequence<int>;
using Value = Laurent<Integer>;
using SolnSet = std::map<Key, Value>;
FixedArray<SolnSet*> partial(nBags, nullptr);
for (bag = d.first(); bag; bag = bag->next()) {
size_t index = bag->index();
#ifdef DUMP_STAGES
if (! tracker)
std::cerr << "Bag " << index << " [" << bag->size() << "] ";
#endif
if (bag->isLeaf()) {
// Leaf bag.
if (tracker) {
if (tracker->isCancelled())
break;
tracker->newStage(
"Processing leaf bag (" + std::to_string(index) +
'/' + std::to_string(nBags) + ')',
0.05 / nEasyBags);
}
#ifdef DUMP_STAGES
else
std::cerr << "LEAF" << std::endl;
#endif
partial[index] = new SolnSet;
Key k(nStrands);
std::fill(k.begin(), k.end(), -2);
partial[index]->emplace(std::move(k),
RingTraits<Laurent<Integer>>::one);
} else if (bag->niceType() == NiceType::Introduce) {
// Introduce bag.
child = bag->children();
if (tracker) {
if (tracker->isCancelled())
break;
tracker->newStage(
"Processing introduce bag (" + std::to_string(index) +
'/' + std::to_string(nBags) + ')',
0.05 / nEasyBags);
}
#ifdef DUMP_STAGES
else
std::cerr << "INTRODUCE" << std::endl;
#endif
// When introducing a new crossing, all of its arcs must
// lead to unseen crossings or crossings already in the bag.
// Therefore the keys and values remain unchanged.
partial[index] = partial[child->index()];
partial[child->index()] = nullptr;
} else if (bag->niceType() == NiceType::Forget) {
// Forget bag.
child = bag->children();
if (tracker) {
if (tracker->isCancelled())
break;
tracker->newStage(
"Processing forget bag (" + std::to_string(index) +
'/' + std::to_string(nBags) + ')',
0.9 * HARD_BAG_WEIGHT(bag) / hardBagWeightSum);
percent = 0;
if (partial[child->index()]->empty())
increment = 0;
else
increment = 100.0 / partial[child->index()]->size();
}
#ifdef DUMP_STAGES
else
std::cerr << "FORGET -> 2 x " <<
partial[child->index()]->size() << std::endl;
#endif
Crossing* forget = crossings_[child->element(bag->niceIndex())];
// The A resolution connects strands conn[0][0][0-1], and
// connects strands conn[0][1][0-1].
// The A^{-1} resolution connects strands conn[1][0][0-1], and
// connects strands conn[1][1][0-1].
StrandRef conn[2][2][2];
conn[0][0][0] = conn[1][0][0] = forget->upper().prev();
if (forget->sign() > 0) {
conn[0][0][1] = conn[1][1][0] = forget->lower();
conn[0][1][0] = conn[1][0][1] = forget->lower().prev();
} else {
conn[0][0][1] = conn[1][1][0] = forget->lower().prev();
conn[0][1][0] = conn[1][0][1] = forget->lower();
}
conn[0][1][1] = conn[1][1][1] = forget->upper();
int connIdx[2][2][2];
int i, j, k;
for (i = 0; i < 2; ++i)
for (j = 0; j < 2; ++j)
for (k = 0; k < 2; ++k)
connIdx[i][j][k] = 2 * static_cast<int>(
conn[i][j][k].crossing()->index()) +
conn[i][j][k].strand();
partial[index] = new SolnSet;
for (auto& soln : *(partial[child->index()])) {
if (tracker) {
percent += increment;
if (! tracker->setPercent(percent))
break;
}
const Key& kChild = soln.first;
const Value& vChild = soln.second;
// Adjust the key and value to reflect the fact the newly
// forgotten crossing, under both possible resolutions.
for (i = 0; i < 2; ++i) {
// i = 0: A resolution
// i = 1: A^{-1} resolution
Key kNew = kChild;
size_t newLoops = 0;
for (j = 0; j < 2; ++j) {
// Connect strands conn[i][j][0-1].
if (kNew[connIdx[i][j][0]] == -2 &&
kNew[connIdx[i][j][1]] == -2) {
// Both strands stay in or above the bag.
if (connIdx[i][j][0] == connIdx[i][j][1]) {
// The two strands form a loop.
// Bury them in the forgotten region.
kNew[connIdx[i][j][0]] = -1;
kNew[connIdx[i][j][1]] = -1;
++newLoops;
} else {
// The two strands go separate ways.
// Make them the endponts of a new path that
// enters and exits the forgotten region.
kNew[connIdx[i][j][0]] = connIdx[i][j][1];
kNew[connIdx[i][j][1]] = connIdx[i][j][0];
}
} else if (kNew[connIdx[i][j][0]] == -2) {
// We cannot have one strand as -2 and the
// other as -1, since -2 means neither end
// of the strand is forgotten and -1 means
// both ends are forgotten.
// In this case we lengthen a section of the link
// that passes through the forgotten region.
kNew[connIdx[i][j][0]] = kNew[connIdx[i][j][1]];
kNew[kNew[connIdx[i][j][1]]] = connIdx[i][j][0];
kNew[connIdx[i][j][1]] = -1;
} else if (kNew[connIdx[i][j][1]] == -2) {
// As before, we lengthen a section of the link
// that passes through the forgotten region.
kNew[connIdx[i][j][1]] = kNew[connIdx[i][j][0]];
kNew[kNew[connIdx[i][j][0]]] = connIdx[i][j][1];
kNew[connIdx[i][j][0]] = -1;
} else {
// Both strands head down into the forgotten region.
if (kNew[connIdx[i][j][0]] == connIdx[i][j][1]) {
// We have closed off a loop.
++newLoops;
} else {
// We connect two sections of the link
// that pass through the forgotten region.
kNew[kNew[connIdx[i][j][0]]] =
kNew[connIdx[i][j][1]];
kNew[kNew[connIdx[i][j][1]]] =
kNew[connIdx[i][j][0]];
}
kNew[connIdx[i][j][0]] = -1;
kNew[connIdx[i][j][1]] = -1;
}
}
// We start at each leaf with the polynomial 1,
// which effectively adds one closed loop that we
// didn't have. So in the very last iteration (which
// is guaranteed to close off at least one loop),
// subtract one closed loop to compensate.
if (index == nBags - 1)
--newLoops;
Value vNew = vChild;
vNew.shift(i == 0 ? 1 : -1);
for (loops = 0; loops < newLoops; ++loops)
vNew *= loopPoly;
// Insert the new key/value into our partial
// solution, aggregating if need be.
auto existingSoln = partial[index]->try_emplace(
std::move(kNew), std::move(vNew));
if (! existingSoln.second)
existingSoln.first->second += vNew;
}
}
delete partial[child->index()];
partial[child->index()] = nullptr;
} else {
// Join bag.
child = bag->children();
sibling = child->sibling();
if (tracker) {
if (tracker->isCancelled())
break;
tracker->newStage(
"Processing join bag (" + std::to_string(index) +
'/' + std::to_string(nBags) + ')',
0.9 * HARD_BAG_WEIGHT(bag) / hardBagWeightSum);
percent = 0;
if (partial[child->index()]->empty())
increment = 0;
else
increment = 100.0 / partial[child->index()]->size();
}
#ifdef DUMP_STAGES
else
std::cerr << "JOIN -> " <<
partial[child->index()]->size() << " x " <<
partial[sibling->index()]->size() << std::endl;
#endif
partial[index] = new SolnSet;
for (auto& soln1 : *(partial[child->index()])) {
if (tracker) {
percent += increment;
if (! tracker->setPercent(percent))
break;
}
for (auto& soln2 : *(partial[sibling->index()])) {
// Combine the two child keys and values.
Key kNew(nStrands);
for (size_t strand = 0; strand < nStrands; ++strand)
if (soln1.first[strand] == -2)
kNew[strand] = soln2.first[strand];
else if (soln2.first[strand] == -2)
kNew[strand] = soln1.first[strand];
else
throw ImpossibleScenario(
"Incompatible keys in join bag");
if (! partial[index]->emplace(std::move(kNew),
soln1.second * soln2.second).second)
throw ImpossibleScenario(
"Combined keys in join bag are not unique");
}
}
delete partial[child->index()];
delete partial[sibling->index()];
partial[child->index()] = partial[sibling->index()] = nullptr;
}
}
if (tracker && tracker->isCancelled()) {
// We don't know which elements of partial[] have been
// deallocated, so check them all.
for (size_t i = 0; i < nBags; ++i)
delete partial[i];
return {};
}
// Collect the final answer from partial[nBags - 1].
#ifdef DUMP_STAGES
if (! tracker)
std::cerr << "FINISH" << std::endl;
#endif
Value ans = std::move(partial[nBags - 1]->begin()->second);
delete partial[nBags - 1];
// Finally, factor in any zero-crossing components.
for (StrandRef s : components_)
if (! s)
ans *= loopPoly;
return ans;
}
const Laurent<Integer>& Link::bracket(Algorithm alg, int threads,
ProgressTracker* tracker) const {
if (bracket_.has_value()) {
if (tracker)
tracker->setFinished();
return *bracket_;
}
if (arrow_.has_value()) {
// It is trivial to deduce the Kauffman bracket and Jones polynomial
// from the arrow polynomial.
bracket_ = arrow_->sumLaurent();
// Set jones_ while the Kauffman bracket is still normalised.
jones_ = bracket_;
jones_->scaleDown(-2);
// Now de-normalise the Kauffman bracket.
long w = writhe();
bracket_->shift(3 * w);
if (w % 2)
bracket_->negate();
if (tracker)
tracker->setFinished();
return *bracket_;
}
if (size() > (INT_MAX >> 1))
throw NotImplemented("This link has so many crossings that the total "
"number of strands cannot fit into a native C++ signed int");
Laurent<Integer> ans;
switch (alg) {
case Algorithm::Naive:
ans = bracketNaive(threads, tracker);
break;
default:
ans = bracketTreewidth(tracker);
break;
}
if (tracker && tracker->isCancelled()) {
tracker->setFinished();
return noResult;
}
setPropertiesFromBracket(std::move(ans));
if (tracker)
tracker->setFinished();
return *bracket_;
}
const Laurent<Integer>& Link::jones(Algorithm alg, int threads,
ProgressTracker* tracker) const {
if (jones_.has_value()) {
if (tracker)
tracker->setFinished();
return *jones_;
}
// Computing bracket_ will also set jones_.
bracket(alg, threads, tracker); // this marks tracker as finished
if (tracker && tracker->isCancelled())
return noResult;
return *jones_;
}
void Link::setPropertiesFromBracket(Laurent<Integer>&& bracket) const {
bracket_ = std::move(bracket);
// Normalise the bracket using the writhe: multiply by (-A^3)^(-w).
Laurent<Integer> normalised(*bracket_);
long w = writhe();
normalised.shift(-3 * w);
if (w % 2)
normalised.negate();
if ((! arrow_.has_value()) && isClassical()) {
// The arrow polynomial for a _classical_ link is just the normalised
// bracket.
arrow_ = normalised;
}
// The Jones polynomial is obtained from the normalised bracket by
// multiplying all exponents by -1/4.
//
// We only scale exponents by -1/2, since we are returning a Laurent
// polynomial in sqrt(t).
normalised.scaleDown(-2);
jones_ = std::move(normalised);
}
void Link::optimiseForJones(TreeDecomposition& td) const {
td.compress();
if (td.size() <= 1)
return;
// In order to estimate processing costs, we need to be able to
// query whether a given node appears in a given subtree.
// Do some preprocessing to make these queries constant time.
//
// For crossing i, crossingSubtree[i] will contain the highest index
// bag that contains that crossing.
//
// For bag j, subtreeStart[j] will contain the lowest index bag
// within the subtree rooted at bag j (including j itself).
// Due to our leaf-to-root indexing, it follows that the subtree
// rooted at j contains precisely those bags with indices k for
// which subtreeStart[j] <= k <= j.
auto* crossingSubtree = new size_t[size()];
auto* subtreeStart = new size_t[td.size()];
const TreeBag* b;
for (b = td.first(); b; b = b->next())
if (b->children())
subtreeStart[b->index()] = subtreeStart[b->children()->index()];
else
subtreeStart[b->index()] = b->index();
for (b = td.first(); b; b = b->next())
for (size_t i = 0; i < b->size(); ++i)
crossingSubtree[b->element(i)] = b->index();
// Now we can build our cost estimates.
auto* costSame = new size_t[td.size()];
auto* costReverse = new size_t[td.size()];
auto* costRoot = new size_t[td.size()];
// For a bag b:
//
// costRoot: Count strands from crossings in b to crossings not in b.
//
// costSame: Count strands from crossings in b to crossings not in b,
// but in one of b's descendants.
//
// costReverse: Count strands from crossings in b->parent to crossings
// not in b->parent and not in b or any of b's descendants.
std::fill(costSame, costSame + td.size(), 0);
std::fill(costReverse, costReverse + td.size(), 0);
std::fill(costRoot, costRoot + td.size(), 0);
Crossing *c;
size_t adj, adjRoot;
for (b = td.first(); b; b = b->next()) {
for (size_t i = 0; i < b->size(); ++i) {
c = crossings_[b->element(i)];
for (int p = 0; p < 2; ++p)
for (int q = 0; q < 2; ++q) {
adj = (p == 0 ? c->prev(q).crossing() :
c->next(q).crossing())->index();
if (! b->contains(adj)) {
// We have a strand from a crossing in b that
// leads to a crossing not in b.
++costRoot[b->index()];
// Is adj buried within b's descendants?
adjRoot = crossingSubtree[adj];
if (adjRoot >= subtreeStart[b->index()] &&
adjRoot < b->index())
++costSame[b->index()];
}
}
}
if (b->parent()) {
for (size_t i = 0; i < b->parent()->size(); ++i) {
c = crossings_[b->parent()->element(i)];
for (int p = 0; p < 2; ++p)
for (int q = 0; q < 2; ++q) {
adj = (p == 0 ? c->prev(q).crossing() :
c->next(q).crossing())->index();
if (! b->parent()->contains(adj)) {
// We have a strand from a crossing in b's parent
// that leads to a crossing not in b's parent.
// Is adj *not* buried within b or its descendants?
adjRoot = crossingSubtree[adj];
if (! (adjRoot >= subtreeStart[b->index()] &&
adjRoot <= b->index()))
++costReverse[b->index()];
}
}
}
}
}
delete[] subtreeStart;
delete[] crossingSubtree;
td.reroot(costSame, costReverse, costRoot);
delete[] costSame;
delete[] costReverse;
delete[] costRoot;
}
} // namespace regina
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