1 files changed, 0 insertions, 48 deletions
diff --git a/gi/posterior-regularisation/prjava/src/optimization/stopCriteria/NormalizedGradientL2Norm.java b/gi/posterior-regularisation/prjava/src/optimization/stopCriteria/NormalizedGradientL2Norm.java
deleted file mode 100644
index 4a489641..00000000
--- a/gi/posterior-regularisation/prjava/src/optimization/stopCriteria/NormalizedGradientL2Norm.java
+++ /dev/null
@@ -1,48 +0,0 @@
-package optimization.stopCriteria;
-
-import optimization.gradientBasedMethods.Objective;
-import optimization.gradientBasedMethods.ProjectedObjective;
-import optimization.util.MathUtils;
-
-/**
- * Divides the norm by the norm at the begining of the iteration
- * @author javg
- *
- */
-public class NormalizedGradientL2Norm extends GradientL2Norm{
-	
-	/**
-	 * Stop if gradientNorm/(originalGradientNorm) smaller
-	 * than gradientConvergenceValue
-	 */
-	protected double originalGradientNorm = -1;
-	
-	public void reset(){
-		originalGradientNorm = -1;
-	}
-	public NormalizedGradientL2Norm(double gradientConvergenceValue){
-		super(gradientConvergenceValue);
-	}
-	
-	
-	 
-	
-	public boolean stopOptimization(Objective obj){
-			double norm = MathUtils.L2Norm(obj.gradient);
-			if(originalGradientNorm == -1){
-				originalGradientNorm = norm;
-			}
-			if(originalGradientNorm < 1E-10){
-				System.out.println("Gradient norm is zero " +  originalGradientNorm);
-				return true;
-			}
-			double normalizedNorm = 1.0*norm/originalGradientNorm;
-			if( normalizedNorm < gradientConvergenceValue){
-				System.out.println("Gradient norm below normalized normtreshold: " + norm + " original: " + originalGradientNorm + " normalized norm: " + normalizedNorm);
-				return true;
-			}else{
-//				System.out.println("projected gradient norm: " + norm);
-				return false;
-			}
-	}
-}