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C++ EdgeSet::size方法代码示例

本文整理汇总了C++中hypergraph::EdgeSet::size方法的典型用法代码示例。如果您正苦于以下问题:C++ EdgeSet::size方法的具体用法?C++ EdgeSet::size怎么用?C++ EdgeSet::size使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在hypergraph::EdgeSet的用法示例。


在下文中一共展示了EdgeSet::size方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。

示例1: initializeOptimization

  bool SparseOptimizer::initializeOptimization(HyperGraph::EdgeSet& eset)
  {
    clearIndexMapping();
    _activeVertices.clear();
    _activeEdges.clear();
    _activeEdges.reserve(eset.size());
    set<Vertex*> auxVertexSet; // temporary structure to avoid duplicates
    for (HyperGraph::EdgeSet::iterator
         it  = eset.begin();
         it != eset.end();
         it++)
    {
      OptimizableGraph::Edge* e=(OptimizableGraph::Edge*)(*it);
      for (vector<HyperGraph::Vertex*>::const_iterator
           vit  = e->vertices().begin();
           vit != e->vertices().end();
           ++vit)
         auxVertexSet.insert(static_cast<OptimizableGraph::Vertex*>(*vit));

      _activeEdges.push_back(reinterpret_cast<OptimizableGraph::Edge*>(*it));
    }

    _activeVertices.reserve(auxVertexSet.size());
    for (set<Vertex*>::iterator
         it  = auxVertexSet.begin();
         it != auxVertexSet.end();
         ++it)
       _activeVertices.push_back(*it);

    sortVectorContainers();
    return buildIndexMapping(_activeVertices);
  }
开发者ID:RoboWGT,项目名称:robo_groovy,代码行数:32,代码来源:graph_optimizer_sparse.cpp

示例2: updateInitialization

  bool SparseOptimizer::updateInitialization(HyperGraph::VertexSet& vset, HyperGraph::EdgeSet& eset)
  {
    std::vector<HyperGraph::Vertex*> newVertices;
    newVertices.reserve(vset.size());
    _activeVertices.reserve(_activeVertices.size() + vset.size());
    //for (HyperGraph::VertexSet::iterator it = vset.begin(); it != vset.end(); ++it)
      //_activeVertices.push_back(static_cast<OptimizableGraph::Vertex*>(*it));
    _activeEdges.reserve(_activeEdges.size() + eset.size());
    for (HyperGraph::EdgeSet::iterator it = eset.begin(); it != eset.end(); ++it)
      _activeEdges.push_back(static_cast<OptimizableGraph::Edge*>(*it));

    // update the index mapping
    size_t next = _ivMap.size();
    for (HyperGraph::VertexSet::iterator it = vset.begin(); it != vset.end(); ++it) {
      OptimizableGraph::Vertex* v=static_cast<OptimizableGraph::Vertex*>(*it);
      if (! v->fixed()){
        if (! v->marginalized()){
          v->setTempIndex(next);
          _ivMap.push_back(v);
          newVertices.push_back(v);
          _activeVertices.push_back(v);
          next++;
        }
        else // not supported right now
          abort();
      }
      else {
        v->setTempIndex(-1);
      }
    }

    //if (newVertices.size() != vset.size())
    //cerr << __PRETTY_FUNCTION__ << ": something went wrong " << PVAR(vset.size()) << " " << PVAR(newVertices.size()) << endl;
    return _solver->updateStructure(newVertices, eset);
  }
开发者ID:RoboWGT,项目名称:robo_groovy,代码行数:35,代码来源:graph_optimizer_sparse.cpp

示例3: initializeOptimization

  bool SparseOptimizer::initializeOptimization(HyperGraph::EdgeSet& eset){
    preIteration(-1);
    bool workspaceAllocated = _jacobianWorkspace.allocate(); (void) workspaceAllocated;
    assert(workspaceAllocated && "Error while allocating memory for the Jacobians");
    clearIndexMapping();
    _activeVertices.clear();
    _activeEdges.clear();
    _activeEdges.reserve(eset.size());
    set<Vertex*> auxVertexSet; // temporary structure to avoid duplicates
    for (HyperGraph::EdgeSet::iterator it=eset.begin(); it!=eset.end(); ++it){
      OptimizableGraph::Edge* e=(OptimizableGraph::Edge*)(*it);
      if (e->numUndefinedVertices())
	continue;
      for (vector<HyperGraph::Vertex*>::const_iterator vit = e->vertices().begin(); vit != e->vertices().end(); ++vit) {
        auxVertexSet.insert(static_cast<OptimizableGraph::Vertex*>(*vit));
      }
      _activeEdges.push_back(reinterpret_cast<OptimizableGraph::Edge*>(*it));
    }

    _activeVertices.reserve(auxVertexSet.size());
    for (set<Vertex*>::iterator it = auxVertexSet.begin(); it != auxVertexSet.end(); ++it)
      _activeVertices.push_back(*it);

    sortVectorContainers();
    bool indexMappingStatus = buildIndexMapping(_activeVertices);
    postIteration(-1);
    return indexMappingStatus;
  }
开发者ID:2maz,项目名称:g2o,代码行数:28,代码来源:sparse_optimizer.cpp

示例4: vertexEdgesInStar

size_t vertexEdgesInStar(HyperGraph::EdgeSet& eset, HyperGraph::Vertex* v, Star* s, EdgeStarMap& esmap){
  eset.clear();
  for (HyperGraph::EdgeSet::iterator it=v->edges().begin(); it!=v->edges().end(); it++){
    HyperGraph::Edge* e=*it;
    EdgeStarMap::iterator eit=esmap.find(e);
    if (eit!=esmap.end() && eit->second == s)
      eset.insert(e);
  }
  return eset.size();
}
开发者ID:MichaelRuhnke,项目名称:g2o,代码行数:10,代码来源:simple_star_ops.cpp

示例5: updateInitialization

  bool SparseOptimizerIncremental::updateInitialization(HyperGraph::VertexSet& vset, HyperGraph::EdgeSet& eset)
  {
    if (batchStep) {
      return SparseOptimizerOnline::updateInitialization(vset, eset);
    }

    for (HyperGraph::VertexSet::iterator it = vset.begin(); it != vset.end(); ++it) {
      OptimizableGraph::Vertex* v = static_cast<OptimizableGraph::Vertex*>(*it);
      v->clearQuadraticForm(); // be sure that b is zero for this vertex
    }

    // get the touched vertices
    _touchedVertices.clear();
    for (HyperGraph::EdgeSet::iterator it = eset.begin(); it != eset.end(); ++it) {
      OptimizableGraph::Edge* e = static_cast<OptimizableGraph::Edge*>(*it);
      OptimizableGraph::Vertex* v1 = static_cast<OptimizableGraph::Vertex*>(e->vertices()[0]);
      OptimizableGraph::Vertex* v2 = static_cast<OptimizableGraph::Vertex*>(e->vertices()[1]);
      if (! v1->fixed())
        _touchedVertices.insert(v1);
      if (! v2->fixed())
        _touchedVertices.insert(v2);
    }
    //cerr << PVAR(_touchedVertices.size()) << endl;

    // updating the internal structures
    std::vector<HyperGraph::Vertex*> newVertices;
    newVertices.reserve(vset.size());
    _activeVertices.reserve(_activeVertices.size() + vset.size());
    _activeEdges.reserve(_activeEdges.size() + eset.size());
    for (HyperGraph::EdgeSet::iterator it = eset.begin(); it != eset.end(); ++it)
      _activeEdges.push_back(static_cast<OptimizableGraph::Edge*>(*it));
    //cerr << "updating internal done." << endl;

    // update the index mapping
    size_t next = _ivMap.size();
    for (HyperGraph::VertexSet::iterator it = vset.begin(); it != vset.end(); ++it) {
      OptimizableGraph::Vertex* v=static_cast<OptimizableGraph::Vertex*>(*it);
      if (! v->fixed()){
        if (! v->marginalized()){
          v->setHessianIndex(next);
          _ivMap.push_back(v);
          newVertices.push_back(v);
          _activeVertices.push_back(v);
          next++;
        } 
        else // not supported right now
          abort();
      }
      else {
        v->setHessianIndex(-1);
      }
    }
    //cerr << "updating index mapping done." << endl;

    // backup the tempindex and prepare sorting structure
    VertexBackup backupIdx[_touchedVertices.size()];
    memset(backupIdx, 0, sizeof(VertexBackup) * _touchedVertices.size());
    int idx = 0;
    for (HyperGraph::VertexSet::iterator it = _touchedVertices.begin(); it != _touchedVertices.end(); ++it) {
      OptimizableGraph::Vertex* v = static_cast<OptimizableGraph::Vertex*>(*it);
      backupIdx[idx].hessianIndex = v->hessianIndex();
      backupIdx[idx].vertex = v;
      backupIdx[idx].hessianData = v->hessianData();
      ++idx;
    }
    sort(backupIdx, backupIdx + _touchedVertices.size()); // sort according to the hessianIndex which is the same order as used later by the optimizer
    for (int i = 0; i < idx; ++i) {
      backupIdx[i].vertex->setHessianIndex(i);
    }
    //cerr << "backup tempindex done." << endl;

    // building the structure of the update
    _updateMat.clear(true); // get rid of the old matrix structure
    _updateMat.rowBlockIndices().clear();
    _updateMat.colBlockIndices().clear();
    _updateMat.blockCols().clear();

    // placing the current stuff in _updateMat
    MatrixXd* lastBlock = 0;
    int sizePoses = 0;
    for (int i = 0; i < idx; ++i) {
      OptimizableGraph::Vertex* v = backupIdx[i].vertex;
      int dim = v->dimension();
      sizePoses+=dim;
      _updateMat.rowBlockIndices().push_back(sizePoses);
      _updateMat.colBlockIndices().push_back(sizePoses);
      _updateMat.blockCols().push_back(SparseBlockMatrix<MatrixXd>::IntBlockMap());
      int ind = v->hessianIndex();
      //cerr << PVAR(ind) << endl;
      if (ind >= 0) {
        MatrixXd* m = _updateMat.block(ind, ind, true);
        v->mapHessianMemory(m->data());
        lastBlock = m;
      }
    }
    lastBlock->diagonal().array() += 1e-6; // HACK to get Eigen value > 0


    for (HyperGraph::EdgeSet::const_iterator it = eset.begin(); it != eset.end(); ++it) {
      OptimizableGraph::Edge* e = static_cast<OptimizableGraph::Edge*>(*it);
//.........这里部分代码省略.........
开发者ID:ericperko,项目名称:g2o,代码行数:101,代码来源:graph_optimizer_sparse_incremental.cpp


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