TopologicalSimplification.h

Go to the documentation of this file.

 
 
#pragma once
 
// base code includes
 
#include <Debug.h>
#include <LegacyTopologicalSimplification.h>
#include <LocalizedTopologicalSimplification.h>
#include <TopologicalOptimization.h>
#include <Triangulation.h>
 
#include <cmath>
#include <set>
#include <tuple>
#include <type_traits>
 
namespace ttk {
 
  class TopologicalSimplification : virtual public Debug {
  public:
    TopologicalSimplification();
 
    enum class BACKEND { LEGACY, LTS, TO };
    /*
     * Either execute this file "legacy" algorithm, or the
     * lts algorithm. The choice depends on the value of the variable backend_.
     * Default is lts (localized).
     */
    template <typename dataType, typename triangulationType>
    int execute(const dataType *const inputScalars,
                dataType *const outputScalars,
                const SimplexId *const identifiers,
                const SimplexId *const inputOffsets,
                SimplexId *const offsets,
                const SimplexId constraintNumber,
                const bool addPerturbation,
                triangulationType &triangulation,
                const ttk::DiagramType &constraintDiagram = {});
 
    inline void setBackend(const BACKEND arg) {
      backend_ = arg;
    }
 
    inline int preconditionTriangulation(AbstractTriangulation *triangulation) {
      switch(backend_) {
        case BACKEND::LEGACY:
          legacyObject_.setDebugLevel(debugLevel_);
          legacyObject_.setThreadNumber(threadNumber_);
          legacyObject_.preconditionTriangulation(triangulation);
          break;
 
        case BACKEND::LTS:
          ltsObject_.setDebugLevel(debugLevel_);
          ltsObject_.setThreadNumber(threadNumber_);
          ltsObject_.preconditionTriangulation(triangulation);
          break;
 
        case BACKEND::TO:
          topologyOptimizer_.setDebugLevel(debugLevel_);
          topologyOptimizer_.setThreadNumber(threadNumber_);
          topologyOptimizer_.preconditionTriangulation(triangulation);
          break;
 
        default:
          this->printErr(
            "Error, the backend for topological simplification is invalid");
          return -1;
      }
      return 0;
    }
 
  protected:
    BACKEND backend_{BACKEND::LTS};
    LegacyTopologicalSimplification legacyObject_;
    lts::LocalizedTopologicalSimplification ltsObject_;
    ttk::TopologicalOptimization topologyOptimizer_;
 
    SimplexId vertexNumber_{};
    bool UseFastPersistenceUpdate{true};
    bool FastAssignmentUpdate{true};
    int EpochNumber{1000};
 
    // if PDCMethod == 0 then we use Progressive approach
    // if PDCMethod == 1 then we use Classical Auction approach
    int PDCMethod{1};
 
    // if MethodOptimization == 0 then we use direct optimization
    // if MethodOptimization == 1 then we use Adam
    int MethodOptimization{0};
 
    // if FinePairManagement == 0 then we let the algorithm choose
    // if FinePairManagement == 1 then we fill the domain
    // if FinePairManagement == 2 then we cut the domain
    int FinePairManagement{0};
 
    // Adam
    bool ChooseLearningRate{false};
    double LearningRate{0.0001};
 
    // Direct Optimization : Gradient Step Size
    double Alpha{0.5};
 
    // Stopping criterion: when the loss becomes less than a percentage (e.g.
    // 1%) of the original loss (between input diagram and simplified diagram)
    double CoefStopCondition{0.01};
 
    //
    bool OptimizationWithoutMatching{false};
    int ThresholdMethod{1};
    double Threshold{0.01};
    int LowerThreshold{-1};
    int UpperThreshold{2};
    int PairTypeToDelete{1};
 
    bool ConstraintAveraging{true};
 
    int PrintFrequency{10};
  };
} // namespace ttk
 
template <typename dataType, typename triangulationType>
int ttk::TopologicalSimplification::execute(
  const dataType *const inputScalars,
  dataType *const outputScalars,
  const SimplexId *const identifiers,
  const SimplexId *const inputOffsets,
  SimplexId *const offsets,
  const SimplexId constraintNumber,
  const bool addPerturbation,
  triangulationType &triangulation,
  const ttk::DiagramType &constraintDiagram) {
  switch(backend_) {
    case BACKEND::LTS:
      return ltsObject_
        .removeUnauthorizedExtrema<dataType, SimplexId, triangulationType>(
          outputScalars, offsets, &triangulation, identifiers, constraintNumber,
          addPerturbation);
    case BACKEND::LEGACY:
      return legacyObject_.execute(inputScalars, outputScalars, identifiers,
                                   inputOffsets, offsets, constraintNumber,
                                   triangulation);
 
    case BACKEND::TO:
      topologyOptimizer_.setUseFastPersistenceUpdate(UseFastPersistenceUpdate);
      topologyOptimizer_.setFastAssignmentUpdate(FastAssignmentUpdate);
      topologyOptimizer_.setEpochNumber(EpochNumber);
      topologyOptimizer_.setPDCMethod(PDCMethod);
      topologyOptimizer_.setMethodOptimization(MethodOptimization);
      topologyOptimizer_.setFinePairManagement(FinePairManagement);
      topologyOptimizer_.setChooseLearningRate(ChooseLearningRate);
      topologyOptimizer_.setLearningRate(LearningRate);
      topologyOptimizer_.setAlpha(Alpha);
      topologyOptimizer_.setCoefStopCondition(CoefStopCondition);
      topologyOptimizer_.setOptimizationWithoutMatching(
        OptimizationWithoutMatching);
      topologyOptimizer_.setThresholdMethod(ThresholdMethod);
      topologyOptimizer_.setThresholdPersistence(Threshold);
      topologyOptimizer_.setLowerThreshold(LowerThreshold);
      topologyOptimizer_.setUpperThreshold(UpperThreshold);
      topologyOptimizer_.setPairTypeToDelete(PairTypeToDelete);
      topologyOptimizer_.setConstraintAveraging(ConstraintAveraging);
      topologyOptimizer_.setPrintFrequency(PrintFrequency);
 
      return topologyOptimizer_.execute(inputScalars, outputScalars, offsets,
                                        &triangulation, constraintDiagram);
    default:
      this->printErr(
        "Error, the backend for topological simplification is invalid");
      return -1;
  }
}