diff --git a/Schenk_Brandenberger_S3_Aufg1+2+3a.pdf b/Schenk_Brandenberger_S3_Aufg1+2+3a.pdf
index b9f1ad9..ee99f3b 100644
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diff --git a/Schenk_Brandenberger_S3_Aufg3b.py b/Schenk_Brandenberger_S3_Aufg3b.py
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+++ b/Schenk_Brandenberger_S3_Aufg3b.py
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+import numpy as np
+import matplotlib.pyplot as plt
+import math
+
+def f1(x):
+    return 5/((2 * x ** 2 ) ** (1/3))
+
+def f2(x):
+    return 10 ** 5 * (2 * np.e) ** (-x/100)
+
+def f3(x):
+    x2 = 2 * x
+    x10_2x = math.pow(10,x2)
+    x5 = 5 * x
+    x2_5x = math.pow(2, x5)
+    x10_2x_x2_5x = x10_2x / x2_5x
+    y = math.pow(x10_2x_x2_5x, 2)
+    return y
+xstep = 1
+xstart = xstep
+xstop = 100
+x = np.arange(xstart, xstop + xstep, xstep)
+
+# Aufgabe (i)
+y1 = [f1(x_value) for x_value in x]
+plt.plot(x, y1, label="f1(x)")
+# Beide Achsen logarithmisch
+plt.xscale('log', base = 2)
+plt.yscale('log', base = 2)
+# Steigung: -2/3
+# Y-Achsenabschnitt: 0
+plt.grid()
+plt.title("(i)")
+plt.figure()
+
+
+# Aufgabe (ii)
+y2 = [f2(x_value) for x_value in x]
+plt.plot(x, y2, label="f2(x)")
+# Y - Achse logarithmisch
+plt.yscale('log', base = np.e)
+# Steigung: -1/3
+# Y-Achsenabschnitt: 100000
+plt.grid()
+plt.title("(ii)")
+plt.figure()
+
+
+# Aufgabe (iii)
+y3 = [f3(x_value) for x_value in x]
+plt.plot(x, y3, label="f3(x)")
+# Y - Achse logarithmisch
+plt.yscale('log', base = 10)
+# Steigung: 1
+# Y-Achsenabschnitt: 100000
+plt.grid()
+plt.title("(iii)")
+
+plt.show()
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