diff --git a/doc/tull/project2b.py b/doc/tull/project2b.py
deleted file mode 100644
index 74a086e51..000000000
--- a/doc/tull/project2b.py
+++ /dev/null
@@ -1,194 +0,0 @@
-from pylab import*
-from datetime import datetime
-import numpy as np
-from scipy.sparse import diags
-from numpy import linalg as LA
-import unittest 
-
-
-#Fuction to find the values of cosinus and sinus
-def Rotation(A,R,k,l,n):
-    if (A[k,l] !=0):
-        tau = (A[l,l] - A[k,k])/float(2*A[k,l])
-        if (tau > 0): 
-            t = 1/(tau + sqrt(1 + tau*tau))
-        else:
-        	t = -1/(-tau + sqrt(1 + tau*tau))
-        
-        c = 1/float(sqrt(1+t*t))
-        s = c*t
-        
-    else: 
-        c = 1
-        s = 0
-    
-
-    a_kk = A[k,k]
-    a_ll =A[l,l]
-    
-    #Changing the matrix elements with indices k and l
-    A[k,k]= c**(2)*a_kk -2*c*s*A[k,l] +s**(2)*a_ll
-    A[l,l] = s**(2)*a_kk + 2*c*s*A[k,l] + c**(2)*a_ll
-    
-    A[k,l] = 0
-    A[l,k] = 0
-    
-
-    for i in range(0,n+1):
-        if (i != k and i != l):
-            a_ik =A[i,k] #definerer
-            a_il= A[i,l] #definerer 
-
-            A[i,k]= c*a_ik -s*a_il
-            A[k,i]= A[i,k]
-
-            A[i,l]= c*a_il + s*a_ik
-            A[l,i]= A[i,l]   
-          
-     #Finner de nye egenvektorene 
-	r_ik =R[i,k]
-	r_il= R[i,l]
-
-	R[i,k]= c*r_ik -s*r_il
-	R[i,l] = c*r_il +s*r_ik
-
-	#print "A_ROTA:", A
-	#print "R_ROTA:", R
-
-	return k,l, A,R
-	 
-
-
- #Fuction to find maximum matrix element.
-def MaximumOffDiagonal(n,A):
-
-	maxx = 0 
-	k,l=0,0
-	for i in range (1,n+1):
-		for j in range (1,n+1):
-			if (abs(A[i,j]) > epsilon): 
-				maxx= abs(A[i,j])
-				k= i
-				l =j
-
-	return maxx, k,l 
-
-
-
-def JacobiMethod(A,R,n):	
-	for i in range (1,n+1):
-		for j in range (1,n+1):
-			if (i==j):
-				R[i,j]=1
-			else:
-				R[i,j]=0
-
-	
-	epsilon = 10**(-8)
-	max_number_iterations = n**(3)
-	iterations=0
-	
-	maksoff_diagonal,k,l= MaximumOffDiagonal(n, A)
-
-	while ((abs(maksoff_diagonal) > epsilon) and (iterations < max_number_iterations) ):
-		maksoffdiagonal,k,l = MaximumOffDiagonal(n,A)
-		eigenvalue= Rotation(A,R,k,l,n)
-		iterations  += 1
-
-
-	print "antall iterasjoner=",  iterations 
-
-		
-	#print "egenverdier:", eigen_valuess #halllooooo
-	return A,R,n,iterations
-
-
-n = 2
-rho_min=0 
-rho_max = 5
-h= (rho_max - rho_min)/float(n+1)
-
-rho = zeros(n+1)
-V= zeros(n+1)
-d= zeros(n+1)
-e= zeros(n+1)
-
-e = -1/float(h**2)
-
-A= zeros((n,n))
-R= zeros((n,n))
-
-for i in range(0,n+1):
-	rho[i]=rho_min +i*h
-	V[i]=rho[i]**2
-	d[i]= 2/float(h**2) + V[i]
-
-o = np.array([e*np.ones(n),d*np.ones(n+1),e*np.ones(n)])
-offset = [-1,0,1]
-
-A= diags(o,offset).toarray()
-#print "A"
-
-print "A=",A
-
-s= np.array([0*np.ones(n),np.ones(n+1),0*np.ones(n)])
-R = diags(s,offset).toarray()
-print  "R= ", R
-
-
-epsilon= 1*10**(-8)
-
-
-MaximumOffDiagonal(n,A)
-
-tstart= datetime.now()
-print tstart
-A_jacobi,R,n,iterations = JacobiMethod(A,R,n)
-tend= datetime.now()
-print tend
-print "Endring i tid:", tend- tstart
-
-print "A_diag=", A
-print "A_jacobi", A_jacobi
-print "R_nyyy",R
-
-eig_vals,eig_vecs =  np.linalg.eig(A) #egenverdi, egenvektor 
-
-eig_vals_sorted = np.sort(eig_vals)
-eig_vecs_sorted = eig_vecs[:,eig_vals.argsort()]
-print "egenverdi_sortet=", eig_vals_sorted
-print "egenvektor_sortet=", eig_vecs_sorted
-
-
-#print np.sort(np.linalg.eig(A[:,j]))
-
-
-#Rotation(A,R,k,l,n) #jacobi egenverdiene
-
-
-#print "antall iterasjoner=",  iterations 
-#print "egenverdier:", eigen_valuess 
-
-
-
-#eigenvalues
-#TIDEN til EIGENVALUES
-
-# tstart= datetime.now()
-# print tstart
-
-# for i in range(1,6):
-# 	eig_vals[i] = np.linalg.eig(A[i,i])
-# eig_vals_sorted = np.sort(eig_vals)  #Sorting eigenvalues from the lowest to the biggest
-
-# print "eigvals_numpy=", eig_vals_sorted
-
-# tend= datetime.now()
-# print tend
-
-# print "Endring i tid:", tend- tstart 
-
-
-
-
-