/** Find a maximum size matching in a bipartite graph
* by reducing the matching problem to a max flow problem.
* @param g1 is an undirected graph
* @param match is a list in which the result is returned
*/
void flowMatch(Graph& g, Glist<edge>& match) {
// divide vertices into two independent sets
ListPair split(g.n());
if (!findSplit(g,split))
Util::fatal("flowMatch: graph is not bipartite");
// create flow graph, taking care to maintain edge numbers
Flograph fg(g.n()+2, g.M()+g.n(), g.n()+1, g.n()+2);
for (edge e = g.first(); e != 0; e = g.next(e)) {
vertex u = (split.isIn(g.left(e)) ? g.left(e) : g.right(e));
fg.joinWith(u,g.mate(u,e),e); fg.setCapacity(e,1);
}
for (vertex u = split.firstIn(); u != 0; u = split.nextIn(u)) {
edge e = fg.join(fg.src(),u); fg.setCapacity(e,1);
}
for (vertex u = split.firstOut(); u != 0; u = split.nextOut(u)) {
edge e = fg.join(u,fg.snk()); fg.setCapacity(e,1);
}
// solve flow problem
(dinic(fg)); // parens added to eliminate ambiguity
// now construct matching from flow
match.clear();
for (edge e = g.first(); e != 0; e = g.next(e)) {
vertex u = (split.isIn(g.left(e)) ? g.left(e) : g.right(e));
if (fg.f(u,e) != 0) match.addLast(e);
}
}
/** Find a maximum size matching in a bipartite graph
* by reducing the matching problem to a max flow problem.
* @param[in] g is a graph
* @param[in,out] matchingEdge[u] is (on return) the matching edge incident
* to u or 0 if u is unmatched; if matchingEdge is not all 0 initially,
* it is assumed to represent a valid initial matching
*/
void matchb_f(const Graph& g, edge *matchingEdge) {
// divide vertices into two independent sets
ListPair split(g.n());
if (!findSplit(g,split))
Util::fatal("matchb_f: graph is not bipartite");
// create flow graph, taking care to maintain edge numbers
Graph_f fg(g.n()+2, g.M()+g.n(), g.n()+1, g.n()+2);
for (edge e = g.first(); e != 0; e = g.next(e)) {
vertex u = (split.isIn(g.left(e)) ? g.left(e) : g.right(e));
fg.joinWith(u,g.mate(u,e),e); fg.setCapacity(e,1);
if (e == matchingEdge[u]) fg.setFlow(e,1);
}
for (vertex u = split.firstIn(); u != 0; u = split.nextIn(u)) {
edge e = fg.join(fg.src(),u); fg.setCapacity(e,1);
if (e == matchingEdge[u]) fg.setFlow(e,1);
}
for (vertex u = split.firstOut(); u != 0; u = split.nextOut(u)) {
edge e = fg.join(u,fg.snk());
fg.setCapacity(e,1);
if (e == matchingEdge[u]) fg.setFlow(e,1);
}
// solve flow problem
(mflo_d(fg)); // parens added to eliminate ambiguity
// now construct matching from flow
for (vertex u = 1; u <= g.n(); u++) matchingEdge[u] = 0;
for (edge e = g.first(); e != 0; e = g.next(e)) {
vertex u = (split.isIn(g.left(e)) ? g.left(e) : g.right(e));
if (fg.f(u,e) != 0)
matchingEdge[u] = matchingEdge[g.mate(u,e)] = e;
}
}
/** Find a maximum weight matching in a bipartite graph using the
* hungarian algorithm algorithm.
* @param g1 is an undirected graph
* @param match is a list in which the result is returned
*/
hungarian::hungarian(Wgraph& g1, Glist<edge>& match) : g(&g1) {
// divide vertices into two independent sets
split = new ListPair(g->n());
if (!findSplit(*g,*split))
Util::fatal("hungarian: graph is not bipartite");
mEdge = new edge[g->n()+1];
roots = new Dlist(g->n());
for (vertex u = 1; u <= g->n(); u++) {
mEdge[u] = 0;
if (split->isIn(u)) roots->addLast(u);
}
// initialize vertex labels
lab = new int[g->n()+1];
initLabels();
// augment the matching until no augmenting path remains
vertex u; pEdge = new edge[g->n()+1];
while ((u = findPath()) != 0) { augment(u); }
// add matched edges to output set
match.clear();
for (vertex u = 1; u <= g->n(); u++) {
edge e = mEdge[u];
if (e != 0 && u < g->mate(u,e)) match.addLast(e);
}
delete split; delete roots;
delete [] mEdge; delete [] pEdge; delete [] lab;
}
void Bezier::initControlIndex(QPointF p, double width)
{
double t = findSplit(p, width);
double totalLen = computeCubicCurveLength(1, 24);
double len = computeCubicCurveLength(t, 24);
//double d0 = GraphicsUtils::distanceSqd(p, m_cp0);
//double d1 = GraphicsUtils::distanceSqd(p, m_cp1);
m_drag_cp0 = (len <= totalLen / 2);
}
void BVH::generateHierarchyRecursive(std::vector<AABBox>& boxes, Node* node, int first, int last, int i, ProgressBar& progressBar)
{
// Determine where to split the range.
int split = findSplit(boxes, first, last);
Node* rightChild;
if (split == first)
{
rightChild = &m_leafNodes[split];
}
else
{
rightChild = &m_branchNodes[split];
//push next node
generateHierarchyRecursive(boxes, rightChild, first, split, i, progressBar);
}
Node* leftChild;
if (split + 1 == last)
{
leftChild = &m_leafNodes[split + 1];
}
else
{
leftChild = &m_branchNodes[split + 1];
//push next node
generateHierarchyRecursive(boxes, leftChild, split + 1, last, i, progressBar);
}
// m_branchNodes[i].m = max;
// node->re = last;
// node->rs = first;
// node->s = split;
node->rightChild = rightChild;
node->leftChild = leftChild;
// leftChild->parent = node;
// rightChild->parent = node;
i++;
progressBar.updateProgress(static_cast<int>((static_cast<float>(i) / boxes.size()) * 100));
}
void SerialRandomTree::build(){
// create the attribute indices window
m_attIndicesWindow = std::vector<int>(data->numAttributes,0);
int j = 0;
for(int i = 0; i < m_attIndicesWindow.size(); i++){
m_attIndicesWindow[i] = j++;
}
data->whatGoesWhere = std::vector<int>(data->inBag.size(),0);
data->createInBagSortedIndices();
int unprocessedNodes = 1;
int newNodes = 0;
SerialTreeNodePtr currentNode = SerialTreeNodePtr(new SerialTreeNode);
currentNode->sortedIndices = (*data->sortedIndices);
// compute initial class counts
currentNode->classProbs = std::vector<double>(data->numClasses,0);
for(int i = 0; i < data->numInstances; i++) {
currentNode->classProbs[(*data->instClassValues)[i]] += (*data->instWeights)[i];
}
m_depth = 0;
m_treeNodes.push_back(currentNode);
while(unprocessedNodes != 0){
// Iterate through unprocessed nodes
while(unprocessedNodes != 0){
currentNode = m_treeNodes[m_treeNodes.size()-(unprocessedNodes+newNodes)];
// Check if node is a leaf
if((currentNode->sortedIndices.size() > 0 && currentNode->sortedIndices[0].size() < max(2, getMinNum())) // small
|| (abs(currentNode->classProbs[maxIndex(currentNode->classProbs)] - sum(currentNode->classProbs)) < 1e-6) // pure
|| ((getMaxDepth() > 0) && (m_depth >= getMaxDepth())) // deep
){
createLeafNode(currentNode);
currentNode->clean();
}
else{
if(findSplit(currentNode)){
createSplitNodes(currentNode,newNodes);
currentNode->clean();
}
else{
createLeafNode(currentNode);
currentNode->clean();
}
}
unprocessedNodes--;
}
m_depth++;
unprocessedNodes = newNodes;
newNodes = 0;
}
m_nodesInTree = m_treeNodes.size();
data.reset();
m_dists.clear();
m_splits.clear();
m_props.clear();
m_vals.clear();
m_dists.shrink_to_fit();
m_splits.shrink_to_fit();
m_props.shrink_to_fit();
m_vals.shrink_to_fit();
}
/// <summary>
/// Generates the hierarchy. http://devblogs.nvidia.com/parallelforall/wp-content/uploads/sites/3/2012/11/karras2012hpg_paper.pdf
/// </summary>
/// <param name="boxes">The boxes.</param>
void BVH::generateHierarchyFullParallel(std::vector<AABBox>& boxes)
{
ProgressBar progressBar;
#if !_DEBUG
#pragma omp parallel for schedule(dynamic,1)
#endif
for (int i = 0; i < (boxes.size() - 1); i++)
{
//first, find the range this node corresponds to
//d == -1 means range ends at i, d == +1 means range starts at i
int d = sign(commonPrefix(boxes, i, i + 1) - commonPrefix(boxes, i, i - 1));
//find a maximum and minimum value for the range this node covers. Must be a power of two for easy binary searching
int min = commonPrefix(boxes, i, i - d);
int max = 128;
while (commonPrefix(boxes, i, i + (max * d)) > min)
{
max *= 4;
}
//use binary serach to find the farthest common prefis that is greater than min
int l = 0;
for (int t = max >> 1; t >= 1; t = t >> 1)
{
if (commonPrefix(boxes, i, i + (l + t) * d) > min)
{
//serach to the right of this value
l += t;
}
}
//end of range
int j = i + l * d;
int first = i;
if (d < 0)
{
first = j;
j = i;
}
// Determine where to split the range.
int split = findSplit(boxes, first, j);
Node* rightChild;
if (split == first)
{
rightChild = &m_leafNodes[split];
}
else
{
rightChild = &m_branchNodes[split];
}
Node* leftChild;
if (split + 1 == j)
{
leftChild = &m_leafNodes[split + 1];
}
else
{
leftChild = &m_branchNodes[split + 1];
}
// m_branchNodes[i].m = max;
// m_branchNodes[i].re = first;
// m_branchNodes[i].rs = j;
// m_branchNodes[i].s = split;
m_branchNodes[i].rightChild = rightChild;
m_branchNodes[i].leftChild = leftChild;
// leftChild->parent = &m_branchNodes[i];
// rightChild->parent = &m_branchNodes[i];
#pragma omp critical
{
progressBar.updateProgress(static_cast<int>((static_cast<float>(i) / boxes.size()) * 100));
}
}
progressBar.end();
}
void BVH::generateHierarchyStackLinear(std::vector<AABBox>& boxes)
{
std::stack<constructData *> dataStack;
dataStack.push(new constructData(&m_branchNodes[0], 0, static_cast<int>(boxes.size() - 1)));
// constructData *dataStackArray = new constructData[1024];
// dataStackArray[0] = constructData(&m_branchNodes[0], 0, static_cast<int>(boxes.size() - 1));
// uint32_t stackSize = 1;
int i = 0;
ProgressBar progressBar;
do
{
constructData* data = dataStack.top();
dataStack.pop();
// --stackSize;
// constructData data = dataStackArray[stackSize];
// Determine where to split the range.
int split = findSplit(boxes, data->first, data->last);
Node* rightChild;
if (split == data->first)
{
rightChild = &m_leafNodes[split];
}
else
{
rightChild = &m_branchNodes[split];
//push next node
dataStack.push(new constructData(rightChild, data->first, split));
// dataStackArray[stackSize] = constructData(rightChild, data.first, split);
// ++stackSize;
}
Node* leftChild;
if (split + 1 == data->last)
{
leftChild = &m_leafNodes[split + 1];
}
else
{
leftChild = &m_branchNodes[split + 1];
//push next node
dataStack.push(new constructData(leftChild, split + 1, data->last));
// dataStackArray[stackSize] = constructData(leftChild, split + 1, data.last);
// ++stackSize;
}
// m_branchNodes[i].m = max;
// data.node->re = data.last;
// data.node->rs = data.first;
// data.node->s = split;
data->node->rightChild = rightChild;
data->node->leftChild = leftChild;
// leftChild->parent = data.node;
// rightChild->parent = data.node;
delete data;
i++;
progressBar.updateProgress(static_cast<int>((static_cast<float>(i) / boxes.size()) * 100));
}
while (!dataStack.empty());
progressBar.end();
}
