示例#1
0
int treeOptimizeThorough(tree *tr, int mintrav, int maxtrav)
{
  int i;   
  bestlist *bestT;  

  nodeRectifier(tr);

  bestT = (bestlist *) malloc(sizeof(bestlist));
  bestT->ninit = 0;
  initBestTree(bestT, 1, tr->mxtips);
  
  if (maxtrav > tr->ntips - 3)  
    maxtrav = tr->ntips - 3;      
 
  tr->startLH = tr->endLH = tr->likelihood;  

  for(i = 1; i <= tr->mxtips + tr->mxtips - 2; i++)
    {     

      
      tr->bestOfNode = unlikely;     
      if(rearrangeBIG(tr, tr->nodep[i], mintrav, maxtrav))
	{          
	 
	  if((tr->endLH > tr->startLH) && (tr->bestOfNode != unlikely))
	    {			    
	      restoreTreeFast(tr);	     
	      quickSmoothLocal(tr, 3);
	      tr->startLH = tr->endLH = tr->likelihood;	 		     
	    }	 
	  else
	    {		 
	      if(tr->bestOfNode != unlikely)
		{		     
		  resetBestTree(bestT);		  		  		  
		  saveBestTree(bestT, tr);
		  restoreTreeFast(tr);		  
		  quickSmoothLocal(tr, 3);		  		    
		  if(tr->likelihood < tr->startLH)		    		    
		    {
		      int res;
		      res = recallBestTree(bestT, 1, tr);		      		    
		      assert(res > 0);
		    }
		  else				    
		    tr->startLH = tr->endLH = tr->likelihood;		  
		}
	    }
	}

    	
    }    

  freeBestTree(bestT);
  free(bestT);

  return 1;     
}
示例#2
0
double treeOptimizeRapid(tree *tr, int mintrav, int maxtrav, analdef *adef, bestlist *bt)
{
  int i, index,
    *perm = (int*)NULL;   

  nodeRectifier(tr);

  if (maxtrav > tr->ntips - 3)  
    maxtrav = tr->ntips - 3;  
    
  resetInfoList();
  
  resetBestTree(bt);
 
  tr->startLH = tr->endLH = tr->likelihood;
 
  if(tr->doCutoff)
    {
      if(tr->bigCutoff)
	{	  
	  if(tr->itCount == 0)    
	    tr->lhCutoff = 0.5 * (tr->likelihood / -1000.0);    
	  else    		 
	    tr->lhCutoff = 0.5 * ((tr->lhAVG) / ((double)(tr->lhDEC))); 	  
	}
      else
	{
	  if(tr->itCount == 0)    
	    tr->lhCutoff = tr->likelihood / -1000.0;    
	  else    		 
	    tr->lhCutoff = (tr->lhAVG) / ((double)(tr->lhDEC));   
	}    

      tr->itCount = tr->itCount + 1;
      tr->lhAVG = 0;
      tr->lhDEC = 0;
    }
  
  if(adef->permuteTreeoptimize)
    {
      int n = tr->mxtips + tr->mxtips - 2;   
      perm = (int *)rax_malloc(sizeof(int) * (n + 1));
      makePermutation(perm, n, adef);
    }

  for(i = 1; i <= tr->mxtips + tr->mxtips - 2; i++)
    {           
      tr->bestOfNode = unlikely;          

      if(adef->permuteTreeoptimize)
	index = perm[i];
      else
	index = i;
      


      if(rearrangeBIG(tr, tr->nodep[index], mintrav, maxtrav))
	{    
	  if(Thorough)
	    {
	      if(tr->endLH > tr->startLH)                 	
		{			   	     
		  restoreTreeFast(tr);	 	 
		  tr->startLH = tr->endLH = tr->likelihood;	 
		  saveBestTree(bt, tr);
		}
	      else
		{ 		  
		  if(tr->bestOfNode != unlikely)		    	     
		    restoreTopologyOnly(tr, bt);		    
		}	   
	    }
	  else
	    {
	      insertInfoList(tr->nodep[index], tr->bestOfNode);	    
	      if(tr->endLH > tr->startLH)                 	
		{		      
		  restoreTreeFast(tr);	  	      
		  tr->startLH = tr->endLH = tr->likelihood;	  	 	  	  	  	  	  	  
		}	    	  
	    }
	}     
    }     

  if(!Thorough)
    {           
      Thorough = 1;  
      
      for(i = 0; i < iList.valid; i++)
	{ 
	  

	  tr->bestOfNode = unlikely;
	  
	  if(rearrangeBIG(tr, iList.list[i].node, mintrav, maxtrav))
	    {	  
	      if(tr->endLH > tr->startLH)                 	
		{	 	     
		  restoreTreeFast(tr);	 	 
		  tr->startLH = tr->endLH = tr->likelihood;	 
		  saveBestTree(bt, tr);
		}
	      else
		{ 
	      
		  if(tr->bestOfNode != unlikely)
		    {	     
		      restoreTopologyOnly(tr, bt);
		    }	
		}      
	    }
	}       
          
      Thorough = 0;
    }

  if(adef->permuteTreeoptimize)
    rax_free(perm);

  return tr->startLH;     
}
示例#3
0
int determineRearrangementSetting(tree *tr,  analdef *adef, bestlist *bestT, bestlist *bt)
{
  int i, mintrav, maxtrav, bestTrav, impr, index, MaxFast,
    *perm = (int*)NULL;
  double startLH; 
  boolean cutoff;  

  MaxFast = 26;

  startLH = tr->likelihood;

  cutoff = tr->doCutoff;
  tr->doCutoff = FALSE;
 
    
  mintrav = 1;
  maxtrav = 5;

  bestTrav = maxtrav = 5;

  impr = 1;

  resetBestTree(bt);

  if(adef->permuteTreeoptimize)
    {
      int n = tr->mxtips + tr->mxtips - 2;   
      perm = (int *)rax_malloc(sizeof(int) * (n + 1));
      makePermutation(perm, n, adef);
    }
  

  while(impr && maxtrav < MaxFast)
    {	
      recallBestTree(bestT, 1, tr);     
      nodeRectifier(tr);
     
      
      if (maxtrav > tr->ntips - 3)  
	maxtrav = tr->ntips - 3;    
 
      tr->startLH = tr->endLH = tr->likelihood;
          
      for(i = 1; i <= tr->mxtips + tr->mxtips - 2; i++)
	{                



	  if(adef->permuteTreeoptimize)
	    index = perm[i];
	  else
	    index = i;	 	 

	  tr->bestOfNode = unlikely;
	  if(rearrangeBIG(tr, tr->nodep[index], mintrav, maxtrav))
	    {	     
	      if(tr->endLH > tr->startLH)                 	
		{		 	 	      
		  restoreTreeFast(tr);	        	  	 	  	      
		  tr->startLH = tr->endLH = tr->likelihood;	  	 	  	  	  	  	  	  	      
		}	         	       	
	    }
	}
      
      treeEvaluate(tr, 0.25);
      saveBestTree(bt, tr);                                    

      /*printf("DETERMINE_BEST: %d %f\n", maxtrav, tr->likelihood);*/

      if(tr->likelihood > startLH)
	{	 
	  startLH = tr->likelihood; 	  	  	  
	  printLog(tr, adef, FALSE);	  
	  bestTrav = maxtrav;	 
	  impr = 1;
	}
      else
	{
	  impr = 0;
	}
      maxtrav += 5;
      
      if(tr->doCutoff)
	{
	  tr->lhCutoff = (tr->lhAVG) / ((double)(tr->lhDEC));       
  
	  tr->itCount =  tr->itCount + 1;
	  tr->lhAVG = 0;
	  tr->lhDEC = 0;
	}
    }

  recallBestTree(bt, 1, tr);   
  tr->doCutoff = cutoff;

  if(adef->permuteTreeoptimize)
    rax_free(perm);

  
  return bestTrav;     
}