Rename L-BFGS-B to L-BFGS in examples

Author: lululxvi

examples/Beltrami_flow.py

@@ -167,7 +167,7 @@ def p_func(x):
 
 model.compile("adam", lr=1e-3, loss_weights=[1, 1, 1, 1, 100, 100, 100, 100, 100, 100])
 model.train(epochs=30000)
-model.compile("L-BFGS-B", loss_weights=[1, 1, 1, 1, 100, 100, 100, 100, 100, 100])
+model.compile("L-BFGS", loss_weights=[1, 1, 1, 1, 100, 100, 100, 100, 100, 100])
 losshistory, train_state = model.train()
 
 x, y, z = np.meshgrid(

examples/Burgers.py

@@ -39,7 +39,7 @@ def pde(x, y):
 
 model.compile("adam", lr=1e-3)
 model.train(epochs=15000)
-model.compile("L-BFGS-B")
+model.compile("L-BFGS")
 losshistory, train_state = model.train()
 dde.saveplot(losshistory, train_state, issave=True, isplot=True)
 

examples/Burgers_RAR.py

@@ -36,7 +36,7 @@ def pde(x, y):
 
 model.compile("adam", lr=1.0e-3)
 model.train(epochs=10000)
-model.compile("L-BFGS-B")
+model.compile("L-BFGS")
 model.train()
 
 X = geomtime.random_points(100000)
@@ -53,7 +53,7 @@ def pde(x, y):
     early_stopping = dde.callbacks.EarlyStopping(min_delta=1e-4, patience=2000)
     model.compile("adam", lr=1e-3)
     model.train(epochs=10000, disregard_previous_best=True, callbacks=[early_stopping])
-    model.compile("L-BFGS-B")
+    model.compile("L-BFGS")
     losshistory, train_state = model.train()
 dde.saveplot(losshistory, train_state, issave=True, isplot=True)
 

examples/Kovasznay_flow.py

@@ -77,7 +77,7 @@ def boundary_outflow(x, on_boundary):
 
 model.compile("adam", lr=1e-3)
 model.train(epochs=30000)
-model.compile("L-BFGS-B")
+model.compile("L-BFGS")
 losshistory, train_state = model.train()
 
 X = spatial_domain.random_points(100000)

examples/Lotka_Volterra_Colab.ipynb

@@ -117,7 +117,7 @@
         "model.compile(\"adam\", lr=0.001)\r\n",
         "losshistory, train_state = model.train(epochs=50000)\r\n",
         "\r\n",
-        "model.compile(\"L-BFGS-B\")\r\n",
+        "model.compile(\"L-BFGS\")\r\n",
         "losshistory, train_state = model.train()\r\n",
         "\r\n",
         "dde.saveplot(losshistory, train_state, issave=True, isplot=True)\r\n"

examples/Poisson_Lshape.py

@@ -21,6 +21,6 @@ def boundary(_, on_boundary):
 
 model.compile("adam", lr=0.001)
 model.train(epochs=50000)
-model.compile("L-BFGS-B")
+model.compile("L-BFGS")
 losshistory, train_state = model.train()
 dde.saveplot(losshistory, train_state, issave=True, isplot=True)

examples/Volterra_IDE.py

@@ -41,7 +41,7 @@ def main():
     net = dde.maps.FNN(layer_size, activation, initializer)
 
     model = dde.Model(data, net)
-    model.compile("L-BFGS-B")
+    model.compile("L-BFGS")
     model.train()
 
     X = geom.uniform_points(100)