add run times; fix plot titles; add plots

tutorial/01 - Optimization and Math/01 - Optimization Benchmark Problems/openmdao_beam/openmdao_times.csv

@@ -1,47 +1,47 @@
-6,0.3523058,92
-7,0.4346942,102
-8,0.4395842,118
-9,0.4911199,111
-10,0.5436046,117
-11,0.5984583,126
-12,0.6006012,133
-13,0.5232611,145
-14,0.623791,157
-16,0.560765,150
-17,0.6738249,186
-19,0.65661,172
-21,0.6943943,179
-23,0.6964778,191
-25,0.6656431,214
-28,0.9367967,247
-31,1.0006255,241
-34,0.7157712,274
-37,0.7628061,289
-41,0.9661527,377
-45,1.0276037,373
-49,1.1751846,419
-54,1.3431482,459
-60,1.5456,479
-66,2.3954076,782
-72,2.2429408,647
-79,2.5458149,677
-87,3.1813772,811
-96,3.3526695,723
-106,3.931783,804
-116,4.9982799,972
-128,5.4573302,694
-141,6.0542734,896
-155,6.5221044,763
-170,7.8776998,754
-187,5.7361678,487
-206,7.2629899,527
-226,8.7140251,578
-249,3.159189,114
-274,5.0342083,175
-301,5.3465268,143
-331,4.8220117,86
-364,17.1644436,202
-401,85.2527637,1534
-441,99.1972366,1639
-485,21.5091084,185
-534,166.5315013,1760
+6,0.3167835,91
+7,0.2399908,97
+8,0.2554018,102
+9,0.2640822,105
+10,0.2680751,111
+11,0.2762655,113
+12,0.2726048,110
+13,0.2967507,121
+14,0.3010347,125
+16,0.3285157,140
+17,0.3392313,137
+19,0.3515443,148
+21,0.3578068,150
+23,0.372004,151
+25,0.4183092,169
+28,0.4352795,172
+31,0.4587865,173
+34,0.5404224,206
+37,0.5697273,209
+41,0.6112026,214
+45,0.6753824,225
+49,0.7254601,232
+54,0.7204854,227
+60,0.8199589,248
+66,0.921727,265
+72,1.0610225,285
+79,1.219263,307
+87,1.4262305,341
+96,1.7031774,362
+106,1.9635827,398
+116,2.3067812,434
+128,3.2438851,442
+141,2.9504272,434
+155,3.6784011,475
+170,4.0619934,456
+187,4.9873495,486
+206,5.1337968,439
+226,7.0025662,508
+249,7.842142,472
+274,9.3925761,470
+301,11.0082311,451
+331,14.4576799,485
+364,15.0229587,405
+401,19.2688445,423
+441,24.3840073,428
+485,28.9966984,404
+534,34.8469523,374

tutorial/01 - Optimization and Math/01 - Optimization Benchmark Problems/openmdao_beam/run_times.py

@@ -477,7 +477,7 @@ def model(x, p):
             ax.annotate(
                 label_to_write,
                 xy=(x[-1], fit(x[-1])),
-                xytext=(-5, -45),
+                xytext=(-5, -25),
                 textcoords="offset points",
                 fontsize=10,
                 zorder=5,
@@ -512,15 +512,16 @@ def model(x, p):
 
     plt.xscale("log")
     plt.yscale("log")
+    plt.xlim(right=1e3)
 
     from aerosandbox.tools.string_formatting import eng_string
 
     ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, pos: eng_string(x)))
     ax.yaxis.set_major_formatter(plt.FuncFormatter(lambda x, pos: f"{x:.4g}"))
 
     p.show_plot(
-        "AeroSandbox vs. Disciplined Methods"
-        "\nfor the GP-Compatible Beam Problem",
+        "AeroSandbox vs. Analytical-Gradient Methods"
+        "\nfor the Beam Design Optimization Problem",
         "Problem Size\n(# of Beam Discretization Points)",
         "Computational\nCost\n\n(Wall-clock\nruntime,\nin seconds)",
         set_ticks=False,