Make some changes

src/plot_analytic_solution.py

@@ -0,0 +1,19 @@
+import numpy as np 
+import matplotlib.pyplot as plt
+
+def main():
+    FILENAME = "../latex/images/analytical_solution.pdf"
+    x = []
+    v = []
+
+    with open('analytical_solution.txt') as f:
+        for line in f:
+            a, b = line.strip().split()
+            x.append(float(a))
+            v.append(float(b))
+
+    plt.plot(x, v)
+    plt.savefig(FILENAME)
+
+if __name__ == "__main__":
+    main()

src/plot_general_alg.py

@@ -0,0 +1,30 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+analytical_func = lambda x: 1 - (1 - np.exp(-10))*x - np.exp(-10*x)
+
+def main():
+    for i in range(2):
+        x = []
+        y = []
+        x.append(0.)
+        y.append(0.)
+        with open(f"output/problem7/out_{10**(i+1)}.txt", "r") as f:
+            lines = f.readlines()
+            for line in lines:
+                x_i, y_i = line.strip().split(",")
+                x.append(float(x_i))
+                y.append(float(y_i))
+
+        x.append(1.)
+        y.append(0.)
+
+        plt.plot(x, y, label=f"n_steps={10**(i+1)}")
+
+    x = np.linspace(0, 1, 1001)
+    plt.plot(x, analytical_func(x), label="analytical plot")
+    plt.legend()
+    plt.savefig("../latex/images/problem7.pdf")
+
+if __name__ == "__main__":
+    main()

src/plot_general_alg_error.py

@@ -0,0 +1,25 @@
+import matplotlib.pyplot as plt
+
+def main():
+    _, axs = plt.subplots(2)
+    for i in range(6):
+        x = []
+        abs_err = []
+        rel_err = []
+        with open(f"output/error/out_{10**(i+1)}.txt", "r") as f:
+            lines = f.readlines()
+            for line in lines:
+                x_i, abs_err_i, rel_err_i = line.strip().split(",")
+                x.append(float(x_i))
+                abs_err.append(float(abs_err_i))
+                rel_err.append(float(rel_err_i))
+
+        axs[0].plot(x, abs_err, label=f"abs_err {10**(i+1)} steps")
+        axs[1].plot(x, rel_err, label=f"rel_err {10**(i+1)} steps")
+
+    axs[0].legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
+    axs[1].legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)
+    plt.savefig("../latex/images/problem8.pdf", bbox_inches="tight")
+
+if __name__ == "__main__":
+    main()

src/timing.py

@@ -0,0 +1,23 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+def main():
+    x = []
+    gen_alg = []
+    spec_alg = []
+    with open(f"output/timing.txt", "r") as f:
+        lines = f.readlines()
+        for line in lines:
+            x_i, gen_i, spec_i = line.strip().split(",")
+            x.append(float(x_i))
+            gen_alg.append(float(gen_i))
+            spec_alg.append(float(spec_i))
+
+        plt.plot(x, gen_alg, label=f"general algorithm")
+        plt.plot(x, spec_alg, label=f"general algorithm")
+
+    plt.legend()
+    plt.savefig("../latex/images/problem10.pdf")
+
+if __name__ == "__main__":
+    main()