diff --git a/Schenk_Brandenberger_S10_Aufg2.pdf b/Schenk_Brandenberger_S10_Aufg2.pdf
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diff --git a/Schenk_Brandenberger_S10_Aufg2.py b/Schenk_Brandenberger_S10_Aufg2.py
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+++ b/Schenk_Brandenberger_S10_Aufg2.py
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+import numpy as np
+
+print("*********Gauss Seidel*********")
+def Gauss_Seidel(A,b,x,steps):
+    L = np.tril(A,k=-1)
+    D = np.diag(np.diag(A))
+    R = np.triu(A, k=1)
+    print(np.linalg.norm(-np.linalg.inv(D+L) @ R,np.inf))
+    for steps in range(steps):
+        x = -np.linalg.inv(D+L) @ R @ x + np.linalg.inv(D+L) @ b
+    return x
+
+
+A = np.array([[8,5,2],[5,9,1],[4,2,7]])
+b = np.array([[19],[5],[34]])
+x = np.array([[1],[-1],[3]])
+steps = 3
+print(Gauss_Seidel(A,b,x,steps))
+print("Sum of vector:")
+print(np.sum(Gauss_Seidel(A,b,x,steps)))
+print(np.linalg.norm(Gauss_Seidel(A,b,x,3)-Gauss_Seidel(A,b,x,2),np.inf))
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