Removed these files that were redundant

2008-04-15 23:05:30 +00:00
parent 3aae4710d7
commit 0aa6101634
2 changed files with 0 additions and 148 deletions
@@ -1,50 +0,0 @@
-/*
- * =====================================================================================
- * 
- *       Filename:  dual_manifold_objective.h
- * 
- *    Description:  
- * 
- *        Version:  1.0
- *        Created:  03/18/2008 07:45:50 PM EDT
- *       Revision:  none
- *       Compiler:  gcc
- * 
- *         Author:  Nikolaos Vasiloglou (NV), nvasil@ieee.org
- *        Company:  Georgia Tech Fastlab-ESP Lab
- * 
- * =====================================================================================
- */
-
-#ifndef DUAL_MANIFOLD_OBJECTIVES_H_
-#define DUAL_MANIFOLD_OBJECTIVES_H_
-
-#include "fastlib/fastlib.h"
-#include "../l_bfgs/optimization_utils.h"
-
-class DualMaxVariance {
- public:
-  void Init(datanode *module, Matrix *other_part, 
-      ArrayList<std::pair<index_t, index_t> > *pairs_to_consider,
-      ArrayList<double> *dot_prod_values);
-  void Destruct();
-  void ComputeGradient(Matrix &coordinates, Matrix *gradient);
-  void ComputeObjective(Matrix &coordinates, double *objective);
-  void ComputeFeasibilityError(Matrix &coordinates, double *error);
-  double ComputeLagrangian(Matrix &coordinates);
-  void UpdateLagrangeMult(Matrix &coordinates);
-  void Project(Matrix *coordinates);
-  void set_sigma(double sigma); 
-  
- private:
-  datanode *module_;
-  ArrayList<std::pair<index_t, index_t> > pairs_to_consider_;
-  ArrayList<double> *dot_prod_values_;
-  Matrix *other_part_;
-  Vector eq_lagrange_mult_;
-  double sigma_;
-};
-
-#include "dual_manifold_objective_impl.h"
-#endif // DUAL_MANIFOLD_OBJECTIVES_H_
-
@@ -1,98 +0,0 @@
-/*
- * =====================================================================================
- * 
- *       Filename:  dual_manifold_objective_impl.h
- * 
- *    Description:  
- * 
- *        Version:  1.0
- *        Created:  03/18/2008 08:09:51 PM EDT
- *       Revision:  none
- *       Compiler:  gcc
- * 
- *         Author:  Nikolaos Vasiloglou (NV), nvasil@ieee.org
- *        Company:  Georgia Tech Fastlab-ESP Lab
- * 
- * =====================================================================================
- */
-
-void DualMaxVariance::Init(datanode *module, Matrix *other_part, 
-      ArrayList<std::pair<index_t, index_t> > &pairs_to_consider,
-      ArrayList<double> &dot_prod_values) {
-  auxiliary_mat__=other_part;
-  module_=module;
-  pairs_to_consider_.Copy(pairs_to_consider);
-  dot_prod_values_.Copy(dot_prod_values);
-  eq_lagrange_mult_.Init(pairs_to_consider_.size());
-  eq_lagrange_mult_.SetAll(1.0);
-}
-void DualMaxVariance::ComputeGradient(Matrix &coordinates, 
-    Matrix *gradient) {
-  gradient->CopyValues(coordinates);
-  la::Scale(-2.0, &gradient);
-  for(index_t i=0; i<pairs_to_concider_.size(); i++) {
-    index_t n1=pairs_to_consider_[i].first;
-    index_t n2=pairs_to_consider_[i].second;
-    double *p1=coordinates.GetColumnPtr(n1);
-    double *p2=other_part_->GetColumnPtr(n2);
-    double diff=la::Dot(dimension, p1, p2)-(*dot_prod_values)[i];
-    la::AddExpert(dimension, -eq_lagrange_mult_[i]+sigma_*diff,
-        gradient->GetColumnPtr(n1));
-  }
-}
-void DualMaxVariance::ComputeObjective(Matrix &coordinates, 
-    double *objective) {
-  index_t dimension=coordinates.n_rows();
-  *objective=0;
-  for(index_t i=0; i<coordinates.n_cols(); i++) {
-    *objective-=la::Dot(dimension, coordinates.GetColumnPtr(i),
-        coordinates.GetColumnPtr(i));
-  }
-}
-
-void DualMaxVariance::ComputeFeasibilityError(Matrix &coordinates, 
-    double *error) {
-  DEBUG_ASSERT(coordinates.n_rows()==other_part->n_rows());
-  *error=0;
-  index_t dimension=coordinates.n_rows();
-  for(index_t i=0; i<pairs_to_concider_.size(); i++) {
-    index_t n1=pairs_to_consider_[i].first;
-    index_t n2=pairs_to_consider_[i].second;
-    double *p1=coordinates.GetColumnPtr(n1);
-    double *p2=other_part_->GetColumnPtr(n2);
-    *error+=math::Sqr(la::Dot(dimension, p1, p2)-(*dot_prod_values)[i]);
-  }
-}
-double DualMaxVariance::ComputeLagrangian(Matrix &coordinates) {
-  double lagrangian=0;
-  ComputeObjective(coordinates, &lagrangian);
-  for(index_t i=0; i<pairs_to_concider_.size(); i++) {
-    index_t n1=pairs_to_consider_[i].first;
-    index_t n2=pairs_to_consider_[i].second;
-    double *p1=coordinates.GetColumnPtr(n1);
-    double *p2=other_part_->GetColumnPtr(n2);
-    double diff=la::Dot(dimension, p1, p2)-(*dot_prod_values)[i];
-    *error+=(-eq_lagrange_mult_[i]+sigma_/2*diff)*diff;
-  }
-}
-
-void DualMaxVariance::UpdateLagrangeMult(Matrix &coordinates) {
-  index_t dimension=coordinates.n_rows();
-  for(index_t i=0; i<num_of_nearest_pairs_; i++) {
-    index_t n1=pairs_to_consider_[i].first;
-    index_t n2=pairs_to_consider_[i].second;
-    double *p1=coordinates.GetColumnPtr(n1);
-    double *p2=other_part_->GetColumnPtr(n2);
-    double diff=la::Dot(dimension, p1, p2)-(*dot_prod_values)[i];
-   eq_lagrange_mult_[i]-=sigma_*diff;
-  }
-}
-
-void DualMaxVariance::Project(Matrix *coordinates) {
-  OptUtils::RemoveMean(coordinates);
-}
-
-void DualMaxVariance::set_sigma(double sigma) {
-  sigma_=sigma;
-} 
-