executable reference fix

Material/Dynamic Exercises/param_est2.ipynb

@@ -313,7 +313,8 @@
     "discretizer = pyo.TransformationFactory('dae.collocation')\n",
     "discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt')\n",
+    "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n",
+    "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n",
     "solver.solve(m, tee=True)\n",
     "\n",
     "print('k1= '+str(pyo.value(m.k1)))\n",

Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb

@@ -207,7 +207,8 @@
     "    return (m.x - 1.0) / m.y == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt', exectuable='/solvers/ipopt')\n",
+    "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n",
+    "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",
@@ -556,7 +557,8 @@
     "    return (m.x - 1.0) / m.y == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt')\n",
+    "ipopt_runner_path = \"/home/runner/work/pyomo_jupyter_book/pyomo_jupyter_book/solvers/ipopt\"\n",
+    "solver = pyo.SolverFactory('ipopt', executable=ipopt_runner_path)\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",

README.md

@@ -1,2 +1,4 @@
 # pyomo_jupyter_book
 A conversion of the Pyomo workshop into a jupyter book
+
+Find the companion website [here](https://secquoia.github.io/pyomo_jupyter_book/intro.html)