Correct derivatives in Burgers equation (#389)

* Correct derivatives in Burgers equation
mathLab · Dec 9, 2024 · 59c9a17 · 59c9a17
1 parent 5e36d1b
commit 59c9a17
Show file tree

Hide file tree

Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/docs/source/_rst/tutorials/tutorial12/tutorial.rst b/docs/source/_rst/tutorials/tutorial12/tutorial.rst
@@ -132,8 +132,8 @@ parameter :math:`\nu`:
             self.nu = nu 
         
             def equation(input_, output_):
-                    return grad(output_, input_, d='x') +\
-                           output_*grad(output_, input_, d='t') -\
+                    return grad(output_, input_, d='t') +\
+                           output_*grad(output_, input_, d='x') -\
                            self.nu*laplacian(output_, input_, d='x')
     
                 

diff --git a/tutorials/tutorial12/tutorial.ipynb b/tutorials/tutorial12/tutorial.ipynb
@@ -161,8 +161,8 @@
     "        self.nu = nu \n",
     "    \n",
     "        def equation(input_, output_):\n",
-    "                return grad(output_, input_, d='x') +\\\n",
-    "                       output_*grad(output_, input_, d='t') -\\\n",
+    "                return grad(output_, input_, d='t') +\\\n",
+    "                       output_*grad(output_, input_, d='x') -\\\n",
     "                       self.nu*laplacian(output_, input_, d='x')\n",
     "\n",
     "            \n",

diff --git a/tutorials/tutorial12/tutorial.py b/tutorials/tutorial12/tutorial.py
@@ -113,7 +113,7 @@ def __init__(self, nu = 0.):
         self.nu = nu 
 
         def equation(input_, output_):
-                return grad(output_, input_, d='x') +                       output_*grad(output_, input_, d='t') -                       self.nu*laplacian(output_, input_, d='x')
+                return grad(output_, input_, d='t') +                       output_*grad(output_, input_, d='x') -                       self.nu*laplacian(output_, input_, d='x')
 
 
         super().__init__(equation)