ipopt testing

SECQUOIA · Oct 2, 2024 · a5d6a36 · a5d6a36
1 parent 2ee9160
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diff --git a/Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb b/Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb
@@ -39,7 +39,7 @@
     "model.obj = pyo.Objective(rule=rosenbrock, sense=pyo.minimize)\n",
     "\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt')\n",
+    "solver = pyo.SolverFactory('ipopt', exectuable='pyomo_jupyter_book/solvers/ipopt')\n",
     "\n",
     "print('x_init, y_init, x_soln, y_soln')\n",
     "y_init = 5.0\n",

diff --git a/Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb b/Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb
@@ -92,7 +92,7 @@
     "    return m.y == pyo.sqrt(m.x - 1.0)\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt')\n",
+    "solver = pyo.SolverFactory('ipopt', exectuable='solvers/ipopt')\n",
     "solver.options['halt_on_ampl_error'] = 'yes'\n",
     "solver.solve(model, tee=True)\n",
     "\n",

diff --git a/Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb b/Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb
@@ -207,7 +207,7 @@
     "    return (m.x - 1.0) / m.y == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\n",
-    "solver = pyo.SolverFactory('ipopt')\n",
+    "solver = pyo.SolverFactory('ipopt', exectuable='/solvers/ipopt')\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",

diff --git a/Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb b/Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb
@@ -117,7 +117,7 @@
     "model.cd_bal = pyo.Constraint(expr=(0 == -model.sv * model.cd \\\n",
     "                 + k3 * model.ca ** 2.0))\n",
     "\n",
-    "pyo.SolverFactory('ipopt').solve(model)\n",
+    "pyo.SolverFactory('ipopt', exectuable='/pyomo_jupyter_book/solvers/ipopt').solve(model)\n",
     "model.pprint()\n"
    ]
   }