Merge pull request #16 from SECQUOIA/ipopt_fix_for_compilation

Ipopt fix for compilation

Author: murraybj

.gitignore

@@ -1,2 +1 @@
 .venv/
-_build/

Material/Dynamic Exercises/param_est1.ipynb

@@ -141,8 +141,7 @@
     "discretizer = pyo.TransformationFactory('dae.collocation')\n",
     "discretizer.apply_to(model,nfe=8,ncp=5)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "\n",
     "results = solver.solve(model,tee=True)\n",
     "\n",

Material/Dynamic Exercises/param_est2.ipynb

@@ -313,8 +313,7 @@
     "discretizer = pyo.TransformationFactory('dae.collocation')\n",
     "discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(m, tee=True)\n",
     "\n",
     "print('k1= '+str(pyo.value(m.k1)))\n",
@@ -576,8 +575,7 @@
     "discretizer = pyo.TransformationFactory('dae.collocation')\n",
     "discretizer.apply_to(m,nfe=10,ncp=3,scheme='LAGRANGE-RADAU')\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(m, tee=True)\n",
     "\n",
     "print('k1= '+str(pyo.value(m.k1)))\n",

Material/Dynamic Exercises/small_colloc.ipynb

@@ -152,8 +152,7 @@
     "    return m.time[0,0] == 0\n",
     "m.init_con_t = pyo.Constraint(rule=_init_con_t)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(m,tee=True)\n",
     "\n",
     "import matplotlib.pyplot as plt\n",

Material/Dynamic Exercises/small_dae.ipynb

@@ -116,9 +116,7 @@
     "discretizer = pyo.TransformationFactory('dae.collocation')\n",
     "discretizer.apply_to(m, nfe=2, ncp=3 , scheme='LAGRANGE-RADAU')\n",
     "\n",
-    "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(m,tee=True)\n",
     "\n",
     "import matplotlib.pyplot as plt\n",

Material/Dynamic Exercises/small_findiff.ipynb

@@ -113,8 +113,7 @@
     "    return m.z[0] == -3\n",
     "m.init_con = pyo.Constraint(rule=_init_con)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(m,tee=True)\n",
     "\n",
     "import matplotlib.pyplot as plt\n",

Material/Nonlinear Exercises/1.1 Alternative Initialization.ipynb

@@ -39,8 +39,7 @@
     "model.obj = pyo.Objective(rule=rosenbrock, sense=pyo.minimize)\n",
     "\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "\n",
     "print('x_init, y_init, x_soln, y_soln')\n",
     "y_init = 5.0\n",

Material/Nonlinear Exercises/1.2 Evaluation errors.ipynb

@@ -92,8 +92,7 @@
     "    return m.y == pyo.sqrt(m.x - 1.0)\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.options['halt_on_ampl_error'] = 'yes'\n",
     "solver.solve(model, tee=True)\n",
     "\n",
@@ -201,8 +200,7 @@
     "    return m.y == pyo.sqrt(m.x - 1.0)\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.options['halt_on_ampl_error'] = 'yes'\n",
     "solver.solve(model, tee=True)\n",
     "\n",
@@ -314,8 +312,8 @@
     "    return m.y == pyo.sqrt(m.x - 1.0)\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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",
+    "\n",
+    "solver = pyo.SolverFactory('ipopt')\n",
     "solver.options['halt_on_ampl_error'] = 'yes'\n",
     "solver.solve(model, tee=True)\n",
     "\n",

Material/Nonlinear Exercises/1.3 Alternative Formulations.ipynb

@@ -207,8 +207,7 @@
     "    return (m.x - 1.0) / m.y == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",
@@ -316,8 +315,7 @@
     "    return m.x / (m.y + 1.0) == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",
@@ -417,8 +415,7 @@
     "    return m.y == m.x - 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",
@@ -557,8 +554,7 @@
     "    return (m.x - 1.0) / m.y == 1.0\n",
     "model.con = pyo.Constraint(rule=con_rule)\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "solver.solve(model, tee=True)\n",
     "\n",
     "print(pyo.value(model.x))\n",

Material/Nonlinear Exercises/1.4 Reactor design problem.ipynb

@@ -117,8 +117,7 @@
     "model.cd_bal = pyo.Constraint(expr=(0 == -model.sv * model.cd \\\n",
     "                 + k3 * model.ca ** 2.0))\n",
     "\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 = pyo.SolverFactory('ipopt')\n",
     "\n",
     "solver.solve(model)\n",
     "model.pprint()\n"