diff --git a/Assignment 1/assignment1.py b/Assignment 1/assignment1.py
index 2f8da3babcc3db4d8350fd3dbecee721d9e9b317..f321ef8e534f4fcad6e71af2e5983d600961af01 100644
--- a/Assignment 1/assignment1.py	
+++ b/Assignment 1/assignment1.py	
@@ -32,7 +32,7 @@ def armijo(alpha0,Q,b,c,D,m):
 	#print('alpha is ', alpha)
 	s = 1.0
 	sigma = 1.0
-	beta = 1.0/2
+	beta = 1.0/3
 	while f(Q,b,c,x+np.transpose(beta**m*s*D)) < f(Q,b,c,x) + sigma*beta**m*s*(np.transpose(gradf(Q,b,x)))*np.transpose(D):
 		m+=1
 		#print('m is ', m)
@@ -56,7 +56,7 @@ def grad_opt(epsilon,x,count,alpha):
 		D = -1*np.transpose(gradf(Q,b,x))/np.linalg.norm(gradf(Q,b,x))
 		#print('D is ', D)
 		alpha = armijo(alpha,Q,b,c,D,m)
-		print('alpha0 is ', alpha)
+		#print('alpha0 is ', alpha)
 		count += 1
 		if count%1000==0:
 			print 'f(x) is ', f(Q,b,c,x)