add optimization library source code

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@204 ec762483-ff6d-05da-a07a-a48fb63a330f

1 files changed, 33 insertions, 0 deletions

diff --git a/gi/posterior-regularisation/prjava/src/optimization/linesearch/NonNewtonInterpolationPickFirstStep.java b/gi/posterior-regularisation/prjava/src/optimization/linesearch/NonNewtonInterpolationPickFirstStep.java
new file mode 100644
index 00000000..4b354fd9
--- /dev/null
+++ b/gi/posterior-regularisation/prjava/src/optimization/linesearch/NonNewtonInterpolationPickFirstStep.java
@@ -0,0 +1,33 @@
+package optimization.linesearch;
+
+/**
+ * Non newtwon since we don't always try 1...
+ * Not sure if that is even usefull for newton
+ * @author javg
+ *
+ */
+public class NonNewtonInterpolationPickFirstStep extends GenericPickFirstStep{
+	public NonNewtonInterpolationPickFirstStep(double initValue) {
+		super(initValue);
+	}
+	
+	public double getFirstStep(LineSearchMethod ls){
+//		System.out.println("Previous step used " + ls.getPreviousStepUsed());
+//		System.out.println("PreviousGradinebt " + ls.getPreviousInitialGradient());
+//		System.out.println("CurrentGradinebt " + ls.getInitialGradient());
+		if(ls.getPreviousStepUsed() != -1 && ls.getPreviousInitialGradient()!=0){
+			double newStep = 1.01*ls.getPreviousInitialGradient()*ls.getPreviousStepUsed()/ls.getInitialGradient();
+			//System.out.println("Suggesting " + newStep);
+			return newStep;
+			
+		}
+		return _initValue;
+	}
+	public void collectInitValues(WolfRuleLineSearch ls){
+		
+	}
+	
+	public void collectFinalValues(WolfRuleLineSearch ls){
+		
+	}
+}