1 files changed, 0 insertions, 72 deletions
diff --git a/gi/posterior-regularisation/prjava/src/optimization/projections/Projection.java b/gi/posterior-regularisation/prjava/src/optimization/projections/Projection.java
deleted file mode 100644
index b5a9f92f..00000000
--- a/gi/posterior-regularisation/prjava/src/optimization/projections/Projection.java
+++ /dev/null
@@ -1,72 +0,0 @@
-package optimization.projections;
-
-import optimization.util.MathUtils;
-import optimization.util.MatrixOutput;
-import util.ArrayMath;
-import util.Printing;
-
-
-
-public abstract class Projection {
-
-	
-	public abstract void project(double[] original);
-	
-	
-	/**
-	 *  From the projection theorem "Non-Linear Programming" page
-	 *  201 fact 2.
-	 *  
-	 *  Given some z in R, and a vector x* in X;
-	 *  x* = z+ iif for all x in X 
-	 *  (z-x*)'(x-x*) <= 0 where 0 is when x*=x
-	 *  See figure 2.16 in book
-	 *  
-	 * @param original
-	 * @param projected
-	 * @return
-	 */
-	public boolean testProjection(double[] original, double[] projected){
-		double[] original1 = original.clone();
-		//System.out.println(Printing.doubleArrayToString(original1, null, "original"));
-		//System.out.println(Printing.doubleArrayToString(projected, null, "projected"));
-		MathUtils.minusEquals(original1, projected, 1);
-		//System.out.println(Printing.doubleArrayToString(original1, null, "minus1"));
-		for(int i = 0; i < 10; i++){
-			double[] x = samplePoint(original.length);
-		//	System.out.println(Printing.doubleArrayToString(x, null, "sample"));
-			//If the same this returns zero so we are there.	
-			MathUtils.minusEquals(x, projected, 1);
-		//	System.out.println(Printing.doubleArrayToString(x, null, "minus2"));
-			double dotProd = MathUtils.dotProduct(original1, x);
-			
-		//	System.out.println("dot " + dotProd);
-			if(dotProd > 0) return false;
-		}
-		
-		//Perturbs the point a bit in all possible directions
-		for(int i = 0; i < original.length; i++){
-			double[] x = perturbePoint(projected,i);
-		//	System.out.println(Printing.doubleArrayToString(x, null, "perturbed"));
-			//If the same this returns zero so we are there.	
-			MathUtils.minusEquals(x, projected, 1);
-		//	System.out.println(Printing.doubleArrayToString(x, null, "minus2"));
-			double dotProd = MathUtils.dotProduct(original1, x);
-			
-		//	System.out.println("dot " + dotProd);
-			if(dotProd > 0) return false;
-		}
-		
-		
-		
-		return true;
-	}
-
-	//Samples a point from the constrained set
-	public abstract double[] samplePoint(int dimensions);
-	
-	//Perturbs a point a bit still leaving it at the constraints set
-	public abstract double[] perturbePoint(double[] point, int parameter);
-	
-	
-}