Fixed some plots in thesis (#545)

Co-authored-by: Thomas Baumann <[email protected]>

Author: brownbaerchen

pySDC/projects/Resilience/work_precision.py

@@ -301,7 +301,7 @@ def record_work_precision(
             exponents = [-2, -1, 0, 1, 2, 3][::-1]
         if problem.__name__ == 'run_Lorenz':
             exponents = [0, 1, 2, 3][::-1]
-            if type(strategy).__name__ in ["AdaptivityStrategy"]:
+            if type(strategy).__name__ in ["AdaptivityStrategy", "ESDIRKStrategy", "ERKStrategy"]:
                 exponents = [0, 1, 2, 3, 4, 5][::-1]
     elif param == 'dt':
         power = 2.0
@@ -579,6 +579,20 @@ def plot_work_precision(
                 * 7,
                 minor=True,
             )
+    elif problem.__name__ == 'run_Lorenz':
+        if mode == 'parallel_efficiency_dt_k':
+            ax.set_xticks(
+                ticks=[
+                    0.1,
+                    0.2,
+                    0.3,
+                    0.4,
+                    5e-1,
+                    6e-1,
+                ],
+                labels=['', r'$2\times 10^{-1}$', '', r'$4\times 10^{-1}$', '', ''],
+                minor=True,
+            )
 
 
 def plot_parallel_efficiency_diagonalSDC(
@@ -945,28 +959,16 @@ def get_configs(mode, problem):
             'strategies': RK_strategies,
             'num_procs': 1,
         }
-        if problem.__name__ == 'run_Lorenz':
-            configurations[3] = {
-                'custom_description': desc_poly,
-                'strategies': [AdaptivityPolynomialError(useMPI=True, newton_inexactness=newton_inexactness)],
-                'num_procs': 4,
-                'num_procs_sweeper': num_procs_dt_k,
-                'plotting_params': {
-                    'label': rf'$\Delta t$-$k$-adaptivity $N$=4x{num_procs_dt_k}',
-                    'ls': ls[num_procs_dt_k * 4],
-                },
-            }
-        else:
-            configurations[3] = {
-                'custom_description': desc_poly,
-                'strategies': [AdaptivityPolynomialError(useMPI=True, newton_inexactness=newton_inexactness)],
-                'num_procs': 1,
-                'num_procs_sweeper': num_procs_dt_k,
-                'plotting_params': {
-                    'label': rf'$\Delta t$-$k$-adaptivity $N$=1x{num_procs_dt_k}',
-                    'ls': ls[num_procs_dt_k],
-                },
-            }
+        configurations[3] = {
+            'custom_description': desc_poly,
+            'strategies': [AdaptivityPolynomialError(useMPI=True, newton_inexactness=newton_inexactness)],
+            'num_procs': 1,
+            'num_procs_sweeper': num_procs_dt_k,
+            'plotting_params': {
+                'label': rf'$\Delta t$-$k$-adaptivity $N$=1x{num_procs_dt_k}',
+                'ls': ls[num_procs_dt_k],
+            },
+        }
         if problem.__name__ in ['run_Lorenz']:
             configurations[2] = {
                 'strategies': [AdaptivityStrategy(useMPI=True)],
@@ -1201,7 +1203,7 @@ def get_configs(mode, problem):
         QI = {
             (1, 3, 'run_Lorenz'): 'MIN-SR-NS',
             (1, 1, 'run_Lorenz'): 'MIN-SR-NS',
-            (4, 1, 'run_Lorenz'): 'IE',
+            (4, 1, 'run_Lorenz'): 'MIN-SR-NS',
         }
 
         newton_inexactness = False if problem.__name__ in ['run_vdp'] else True