diff --git a/conmech/plotting/drawer.py b/conmech/plotting/drawer.py
index 9586099a..1094e56a 100644
--- a/conmech/plotting/drawer.py
+++ b/conmech/plotting/drawer.py
@@ -4,6 +4,7 @@
 @author: Michał Jureczka
 @author: Piotr Bartman
 """
+import time
 
 import matplotlib.pyplot as plt
 import networkx as nx
@@ -245,7 +246,7 @@ def draw_stress(self, axes):
     def get_output_path(config, format_, name):
         output_dir = config.output_dir or str(config.timestamp)
         directory = f"{config.outputs_path}/{output_dir}"
-        name = name if name else config.timestamp
+        name = name if name else time.time_ns()
         path = f"{directory}/{name}.{format_}"
         return path
 
diff --git a/conmech/solvers/optimization/optimization.py b/conmech/solvers/optimization/optimization.py
index 1e5c4eae..34a5275f 100644
--- a/conmech/solvers/optimization/optimization.py
+++ b/conmech/solvers/optimization/optimization.py
@@ -122,10 +122,19 @@ def _solve_impl(
                 "quasi secant method limited memory",
                 "qsm",
                 "qsmlm",
+            ):
+                # pylint: disable=import-outside-toplevel,import-error)
+                from kosopt import qsmlm
+                solution = qsmlm.minimize(
+                    self.loss, solution, args=args, maxiter=maxiter
+                )
+            elif method.lower() in (  # TODO
+                    "discontinuous gradient",
+                    "discontinuous gradient method",
+                    "dg",
             ):
                 # pylint: disable=import-outside-toplevel,import-error)
                 from kosopt import qsmlmi
-
                 solution = qsmlmi.minimize(
                     self.loss, solution, args=args, maxiter=maxiter
                 )
diff --git a/conmech/solvers/solver.py b/conmech/solvers/solver.py
index 9408330b..7d0c1e02 100644
--- a/conmech/solvers/solver.py
+++ b/conmech/solvers/solver.py
@@ -4,6 +4,7 @@
 from typing import Callable, Optional
 
 import numpy as np
+import time
 
 from conmech.dynamics.statement import Statement, Variables
 from conmech.scenarios.problems import ContactLaw
@@ -46,6 +47,8 @@ def __init__(
             )
         )
 
+        self.last_timing = None
+
     def __str__(self) -> str:
         raise NotImplementedError()
 
@@ -58,6 +61,7 @@ def _solve_impl(
         raise NotImplementedError()
 
     def solve(self, initial_guess: np.ndarray, **kwargs) -> np.ndarray:
+        start = time.time()
         solution = self._solve_impl(
             initial_guess, velocity=self.v_vector, displacement=self.u_vector, **kwargs
         )
@@ -70,4 +74,6 @@ def solve(self, initial_guess: np.ndarray, **kwargs) -> np.ndarray:
             ):
                 solution[i] = c[j]
 
+        self.last_timing = time.time() - start
+
         return solution
diff --git a/examples/Bagirov_Bartman_Ochal_2023.py b/examples/Bagirov_Bartman_Ochal_2023.py
index a09bf002..2db00671 100644
--- a/examples/Bagirov_Bartman_Ochal_2023.py
+++ b/examples/Bagirov_Bartman_Ochal_2023.py
@@ -108,7 +108,7 @@ def main(config: Config):
 
     setup = StaticSetup(mesh_descr=mesh_descr)
 
-    for method in ("Powell", "BFGS", "CG", "qsm")[3:]:
+    for method in ("Powell", "BFGS", "CG", "qsm", "dg")[:]:
         for force in (
             np.asarray([23e3 * kN, 26.2e3 * kN, 27e3 * kN, 30e3 * kN]) * surface
         ):
@@ -130,7 +130,12 @@ def outer_forces(x, t=None):
             )
             drawer = Drawer(state=state, config=config)
             drawer.colorful = True
-            drawer.draw(show=config.show, save=config.save, title=f"{method}: {force}")
+            drawer.draw(
+                show=config.show,
+                save=config.save,
+                title=f"{method}: {force}, "
+                      f"time: {runner.step_solver.last_timing}"
+            )
 
 
 if __name__ == "__main__":
@@ -142,4 +147,4 @@ def outer_forces(x, t=None):
         Y[i] = MMLV99.potential_normal_direction(X[i])
     plt.plot(X, Y)
     plt.show()
-    main(Config().init())
+    main(Config(save=True, show=False).init())