{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "5fefbfdb", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:47.489885Z", "iopub.status.busy": "2026-10-02T14:46:47.489626Z", "iopub.status.idle": "2026-10-02T14:46:47.494358Z", "shell.execute_reply": "2026-10-02T14:46:47.493678Z" }, "papermill": { "duration": 0.010083, "end_time": "2026-10-02T14:46:47.494864+00:00", "exception": false, "start_time": "2026-10-02T14:46:47.484781+00:00", "status": "completed" }, "tags": [ "remove-input", "active-ipynb", "remove-output" ] }, "outputs": [], "source": [ "try:\n", " from openmdao.utils.notebook_utils import notebook_mode # noqa: F401\n", "except ImportError:\n", " !python -m pip install openmdao[notebooks]" ] }, { "cell_type": "markdown", "id": "061d7234", "metadata": { "papermill": { "duration": 0.021213, "end_time": "2026-10-02T14:46:47.519439+00:00", "exception": false, "start_time": "2026-10-02T14:46:47.498226+00:00", "status": "completed" }, "tags": [] }, "source": [ "# Upgrading from OpenMDAO 2.10 to OpenMDAO 3\n", "\n", "In the OpenMDAO 3.0 release, a few changes were made to the API. In addition, we removed all\n", "deprecation warnings and fully deprecated the old behavior for all API changes that were made\n", "over the lifespan of OpenMDAO 2.x. The changes are all summarized here.\n", "\n", "```{Note}\n", "A significant number of the single line examples are a change in class camelcase or removing an underscore\n", "```" ] }, { "cell_type": "markdown", "id": "76db0a84", "metadata": { "papermill": { "duration": 0.003098, "end_time": "2026-10-02T14:46:47.525827+00:00", "exception": false, "start_time": "2026-10-02T14:46:47.522729+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Building Component Models\n", "### Declare a Component with distributed variables\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "class DistribComp(ExplicitComponent):\n", "\n", " def __init__(self, size):\n", " super().__init__()\n", " self.distributed = True\n", "\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "import openmdao.api as om\n", "\n", "\n", "class DistribComp(om.ExplicitComponent):\n", " \"\"\"Simple Distributed Component.\"\"\"\n", "\n", " def initialize(self):\n", " self.options['distributed'] = True\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "markdown", "id": "0bfe2b78", "metadata": { "papermill": { "duration": 0.003027, "end_time": "2026-10-02T14:46:47.532096+00:00", "exception": false, "start_time": "2026-10-02T14:46:47.529069+00:00", "status": "completed" }, "tags": [ "remove_input" ] }, "source": [ "Below each tabbed example in this notebook is the runnable code from above. However, since some things have been fully deprecated, the code from OpenMDAO 2.x is no longer operational. If that is the case, we have commented out those code cell examples." ] }, { "cell_type": "code", "execution_count": 2, "id": "8fa9f320", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:47.540762Z", "iopub.status.busy": "2026-10-02T14:46:47.540537Z", "iopub.status.idle": "2026-10-02T14:46:49.073093Z", "shell.execute_reply": "2026-10-02T14:46:49.072480Z" }, "papermill": { "duration": 1.538522, "end_time": "2026-10-02T14:46:49.073866+00:00", "exception": false, "start_time": "2026-10-02T14:46:47.535344+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "import openmdao.api as om\n", "\n", "\n", "class DistribComp(om.ExplicitComponent):\n", "\n", " def __init__(self, size):\n", " super().__init__()\n", " self.distributed = True" ] }, { "cell_type": "code", "execution_count": 3, "id": "b1b320dd", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:49.081675Z", "iopub.status.busy": "2026-10-02T14:46:49.081356Z", "iopub.status.idle": "2026-10-02T14:46:49.083926Z", "shell.execute_reply": "2026-10-02T14:46:49.083518Z" }, "papermill": { "duration": 0.007429, "end_time": "2026-10-02T14:46:49.084782+00:00", "exception": false, "start_time": "2026-10-02T14:46:49.077353+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "import openmdao.api as om\n", "\n", "\n", "class DistribComp(om.ExplicitComponent):\n", " \"\"\"Simple Distributed Component.\"\"\"\n", "\n", " def initialize(self):\n", " self.options['distributed'] = True" ] }, { "cell_type": "markdown", "id": "6419cd9a", "metadata": { "papermill": { "duration": 0.003215, "end_time": "2026-10-02T14:46:49.091135+00:00", "exception": false, "start_time": "2026-10-02T14:46:49.087920+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Declare a variable that is explicitly unitless\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "prob.model.add_subsystem('tgt', om.ExecComp('y = 3 * x', x={'units': 'unitless'}))\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "prob.model.add_subsystem('tgt', om.ExecComp('y = 3 * x', x={'units': None}))\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "73d731db", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:49.097991Z", "iopub.status.busy": "2026-10-02T14:46:49.097849Z", "iopub.status.idle": "2026-10-02T14:46:50.313392Z", "shell.execute_reply": "2026-10-02T14:46:50.312885Z" }, "papermill": { "duration": 1.219789, "end_time": "2026-10-02T14:46:50.314014+00:00", "exception": false, "start_time": "2026-10-02T14:46:49.094225+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1790952410.303241] [runnervm8df0l:10776:0] ib_iface.c:1269 UCX ERROR mana_0: iface 0x55a7e3f493b0 failed to create UD QP TX wr:256 sge:6 inl:64 resp:0 RX wr:4096 sge:1 resp:0 failed: Operation not supported\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "[runnervm8df0l:10776] pml_ucx.c:313 Error: Failed to create UCP worker\n" ] }, { "data": { "text/plain": [ "'tgt' " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "name": "stdout", "output_type": "stream", "text": [ "[1790952410.303493] [runnervm8df0l:10776:0] ucp_worker.c:1412 UCX ERROR uct_iface_open(ud_verbs/mana_0:1) failed: Input/output error\n" ] } ], "source": [ "prob = om.Problem()\n", "prob.model.add_subsystem('tgt', om.ExecComp('y = 3 * x', x={'units': 'unitless'}))" ] }, { "cell_type": "code", "execution_count": 5, "id": "454347a5", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.328592Z", "iopub.status.busy": "2026-10-02T14:46:50.328407Z", "iopub.status.idle": "2026-10-02T14:46:50.332109Z", "shell.execute_reply": "2026-10-02T14:46:50.331629Z" }, "papermill": { "duration": 0.011354, "end_time": "2026-10-02T14:46:50.332533+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.321179+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "'tgt' " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "prob = om.Problem()\n", "prob.model.add_subsystem('tgt', om.ExecComp('y = 3 * x', x={'units': None}))" ] }, { "cell_type": "markdown", "id": "34ab9c3b", "metadata": { "papermill": { "duration": 0.004278, "end_time": "2026-10-02T14:46:50.341320+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.337042+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a subsystem to a Group\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "indeps = prob.model.add('indeps', om.IndepVarComp())\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "prob.model.add_subsystem('parab', Paraboloid(), promotes_inputs=['x', 'y'])\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "4d30cb44", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.354518Z", "iopub.status.busy": "2026-10-02T14:46:50.354311Z", "iopub.status.idle": "2026-10-02T14:46:50.357491Z", "shell.execute_reply": "2026-10-02T14:46:50.356909Z" }, "papermill": { "duration": 0.010826, "end_time": "2026-10-02T14:46:50.358061+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.347235+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# This will result in an AttributeError\n", "# prob = om.Problem()\n", "# indeps = prob.model.add('indeps', om.IndepVarComp())" ] }, { "cell_type": "code", "execution_count": 7, "id": "472e6aa9", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.369471Z", "iopub.status.busy": "2026-10-02T14:46:50.369301Z", "iopub.status.idle": "2026-10-02T14:46:50.374646Z", "shell.execute_reply": "2026-10-02T14:46:50.373973Z" }, "papermill": { "duration": 0.011628, "end_time": "2026-10-02T14:46:50.375155+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.363527+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "'parab' " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from openmdao.test_suite.components.paraboloid import Paraboloid\n", "\n", "prob = om.Problem()\n", "prob.model.add_subsystem('parab', Paraboloid(), promotes_inputs=['x', 'y'])" ] }, { "cell_type": "markdown", "id": "59cdce62", "metadata": { "papermill": { "duration": 0.011303, "end_time": "2026-10-02T14:46:50.391186+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.379883+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a linear or nonlinear solver to a Group\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "self.nl_solver = om.NewtonSolver()\n", "self.ln_solver = om.DirectSolver()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "self.nonlinear_solver = om.NewtonSolver()\n", "self.linear_solver = om.DirectSolver()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "9a034884", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.401646Z", "iopub.status.busy": "2026-10-02T14:46:50.401482Z", "iopub.status.idle": "2026-10-02T14:46:50.404113Z", "shell.execute_reply": "2026-10-02T14:46:50.403610Z" }, "papermill": { "duration": 0.008569, "end_time": "2026-10-02T14:46:50.404556+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.395987+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "nl_solver = om.NewtonSolver()\n", "ln_solver = om.DirectSolver()" ] }, { "cell_type": "code", "execution_count": 9, "id": "f8824358", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.414527Z", "iopub.status.busy": "2026-10-02T14:46:50.414379Z", "iopub.status.idle": "2026-10-02T14:46:50.417388Z", "shell.execute_reply": "2026-10-02T14:46:50.416843Z" }, "papermill": { "duration": 0.008676, "end_time": "2026-10-02T14:46:50.417887+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.409211+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "nonlinear_solver = om.NewtonSolver()\n", "linear_solver = om.DirectSolver()" ] }, { "cell_type": "markdown", "id": "aac8d222", "metadata": { "papermill": { "duration": 0.005204, "end_time": "2026-10-02T14:46:50.428632+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.423428+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Declare an option with an explicit type\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "def initialize(self):\n", " \"\"\"\n", " Declare options.\n", " \"\"\"\n", " self.options.declare('vec_size', type_=int, default=1,\n", " desc='The number of points at which the vector magnitude is computed')\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "def initialize(self):\n", " \"\"\"\n", " Declare options.\n", " \"\"\"\n", " self.options.declare('vec_size', types=int, default=1,\n", " desc='The number of points at which the vector magnitude is computed')\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 10, "id": "dbe0a2f7", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.489008Z", "iopub.status.busy": "2026-10-02T14:46:50.488783Z", "iopub.status.idle": "2026-10-02T14:46:50.492750Z", "shell.execute_reply": "2026-10-02T14:46:50.491842Z" }, "papermill": { "duration": 0.057644, "end_time": "2026-10-02T14:46:50.493286+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.435642+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "def initialize(self):\n", " \"\"\"\n", " Declare options.\n", " \"\"\"\n", " self.options.declare('vec_size', type_=int, default=1,\n", " desc='The number of points at which the vector magnitude is computed')" ] }, { "cell_type": "code", "execution_count": 11, "id": "68e08cd7", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.501113Z", "iopub.status.busy": "2026-10-02T14:46:50.500960Z", "iopub.status.idle": "2026-10-02T14:46:50.503464Z", "shell.execute_reply": "2026-10-02T14:46:50.502805Z" }, "papermill": { "duration": 0.006897, "end_time": "2026-10-02T14:46:50.503923+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.497026+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "def initialize(self):\n", " \"\"\"\n", " Declare options.\n", " \"\"\"\n", " self.options.declare('vec_size', types=int, default=1,\n", " desc='The number of points at which the vector magnitude is computed')" ] }, { "cell_type": "markdown", "id": "f2e69960", "metadata": { "papermill": { "duration": 0.003307, "end_time": "2026-10-02T14:46:50.510529+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.507222+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Component Library\n", "### Create an interpolating component using Akima spline with uniform grid\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "import openmdao.api as om\n", "\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "ncp = len(ycp)\n", "n = 11\n", "\n", "prob = om.Problem()\n", "\n", "comp = om.AkimaSplineComp(num_control_points=ncp, num_points=n,\n", " name='chord')\n", "\n", "prob.model.add_subsystem('comp1', comp)\n", "\n", "prob.setup()\n", "prob['akima.chord:y_cp'] = ycp.reshape((1, ncp))\n", "prob.run_model()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "ncp = len(ycp)\n", "n = 11\n", "\n", "prob = om.Problem()\n", "\n", "akima_option = {'delta_x': 0.1}\n", "comp = om.SplineComp(method='akima', num_cp=ncp, x_interp_val=np.linspace(0.0, 1.0, n),\n", " interp_options=akima_option)\n", "\n", "prob.model.add_subsystem('comp1', comp)\n", "\n", "comp.add_spline(y_cp_name='chord_cp', y_interp_name='chord', y_cp_val=ycp)\n", "\n", "prob.setup()\n", "prob.run_model()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 12, "id": "97dd8928", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.517762Z", "iopub.status.busy": "2026-10-02T14:46:50.517561Z", "iopub.status.idle": "2026-10-02T14:46:50.520064Z", "shell.execute_reply": "2026-10-02T14:46:50.519501Z" }, "papermill": { "duration": 0.006826, "end_time": "2026-10-02T14:46:50.520569+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.513743+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# import numpy as np\n", "# AkimaSplineComp is no longer a valid class\n", "\n", "\n", "# ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "# ncp = len(ycp)\n", "# n = 11\n", "\n", "# prob = om.Problem()\n", "\n", "# comp = om.AkimaSplineComp(num_control_points=ncp, num_points=n,\n", "# name='chord')\n", "\n", "# prob.model.add_subsystem('comp1', comp)\n", "\n", "# prob.setup()\n", "# prob['akima.chord:y_cp'] = ycp.reshape((1, ncp))\n", "# prob.run_model()" ] }, { "cell_type": "code", "execution_count": 13, "id": "9335b817", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.527755Z", "iopub.status.busy": "2026-10-02T14:46:50.527562Z", "iopub.status.idle": "2026-10-02T14:46:50.538551Z", "shell.execute_reply": "2026-10-02T14:46:50.537990Z" }, "papermill": { "duration": 0.015258, "end_time": "2026-10-02T14:46:50.539000+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.523742+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "import numpy as np\n", "\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "ncp = len(ycp)\n", "n = 11\n", "\n", "prob = om.Problem()\n", "\n", "akima_option = {'delta_x': 0.1}\n", "comp = om.SplineComp(method='akima', num_cp=ncp, x_interp_val=np.linspace(0.0, 1.0, n),\n", " interp_options=akima_option)\n", "\n", "prob.model.add_subsystem('comp1', comp)\n", "\n", "comp.add_spline(y_cp_name='chord_cp', y_interp_name='chord', y_cp_val=ycp)\n", "\n", "prob.setup()\n", "prob.run_model()" ] }, { "cell_type": "markdown", "id": "06820df9", "metadata": { "papermill": { "duration": 0.003194, "end_time": "2026-10-02T14:46:50.545556+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.542362+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create an interpolating component using Akima spline with custom grid\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "xcp = np.array([1.0, 2.0, 4.0, 6.0, 10.0, 12.0])\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "ncp = len(xcp)\n", "n = 50\n", "x = np.linspace(1.0, 12.0, n)\n", "\n", "prob = om.Problem()\n", "\n", "comp = om.AkimaSplineComp(num_control_points=ncp, num_points=n,\n", " name='chord', input_x=True,\n", " input_xcp=True)\n", "\n", "prob.model.add_subsystem('akima', comp)\n", "\n", "prob.setup(force_alloc_complex=True)\n", "\n", "prob['akima.chord:x_cp'] = xcp\n", "prob['akima.chord:y_cp'] = ycp.reshape((1, ncp))\n", "prob['akima.chord:x'] = x\n", "\n", "prob.run_model()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "xcp = np.array([1.0, 2.0, 4.0, 6.0, 10.0, 12.0])\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "n = 50\n", "x = np.linspace(1.0, 12.0, n)\n", "\n", "prob = om.Problem()\n", "\n", "akima_option = {'delta_x': 0.1}\n", "comp = om.SplineComp(method='akima', x_cp_val=xcp, x_interp_val=x,\n", " interp_options=akima_option)\n", "\n", "prob.model.add_subsystem('akima1', comp)\n", "\n", "comp.add_spline(y_cp_name='ycp', y_interp_name='y_val', y_cp_val=ycp)\n", "\n", "prob.setup(force_alloc_complex=True)\n", "prob.run_model()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 14, "id": "6b4e973c", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.552819Z", "iopub.status.busy": "2026-10-02T14:46:50.552633Z", "iopub.status.idle": "2026-10-02T14:46:50.555598Z", "shell.execute_reply": "2026-10-02T14:46:50.554912Z" }, "papermill": { "duration": 0.007224, "end_time": "2026-10-02T14:46:50.556031+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.548807+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# AkimaSplineComp is no longer a valid class\n", "\n", "\n", "# xcp = np.array([1.0, 2.0, 4.0, 6.0, 10.0, 12.0])\n", "# ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "# ncp = len(xcp)\n", "# n = 50\n", "# x = np.linspace(1.0, 12.0, n)\n", "\n", "# prob = om.Problem()\n", "\n", "# comp = om.AkimaSplineComp(num_control_points=ncp, num_points=n,\n", "# name='chord', input_x=True,\n", "# input_xcp=True)\n", "\n", "# prob.model.add_subsystem('akima', comp)\n", "\n", "# prob.setup(force_alloc_complex=True)\n", "\n", "# prob['akima.chord:x_cp'] = xcp\n", "# prob['akima.chord:y_cp'] = ycp.reshape((1, ncp))\n", "# prob['akima.chord:x'] = x\n", "\n", "# prob.run_model()" ] }, { "cell_type": "code", "execution_count": 15, "id": "20a077ba", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.563450Z", "iopub.status.busy": "2026-10-02T14:46:50.563322Z", "iopub.status.idle": "2026-10-02T14:46:50.572938Z", "shell.execute_reply": "2026-10-02T14:46:50.572161Z" }, "papermill": { "duration": 0.014163, "end_time": "2026-10-02T14:46:50.573399+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.559236+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "xcp = np.array([1.0, 2.0, 4.0, 6.0, 10.0, 12.0])\n", "ycp = np.array([5.0, 12.0, 14.0, 16.0, 21.0, 29.0])\n", "n = 50\n", "x = np.linspace(1.0, 12.0, n)\n", "\n", "prob = om.Problem()\n", "\n", "akima_option = {'delta_x': 0.1}\n", "comp = om.SplineComp(method='akima', x_cp_val=xcp, x_interp_val=x,\n", " interp_options=akima_option)\n", "\n", "prob.model.add_subsystem('akima1', comp)\n", "\n", "comp.add_spline(y_cp_name='ycp', y_interp_name='y_val', y_cp_val=ycp)\n", "\n", "prob.setup(force_alloc_complex=True)\n", "prob.run_model()" ] }, { "cell_type": "markdown", "id": "1b3702ac", "metadata": { "papermill": { "duration": 0.003201, "end_time": "2026-10-02T14:46:50.579840+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.576639+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create an interpolating component using Bsplines\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "prob = om.Problem()\n", "model = prob.model\n", "\n", "n_cp = 5\n", "n_point = 10\n", "\n", "t = np.linspace(0, 0.5*np.pi, n_cp)\n", "x = np.empty((2, n_cp))\n", "x[0, :] = np.sin(t)\n", "x[1, :] = 2.0*np.sin(t)\n", "\n", "comp = om.BsplinesComp(num_control_points=n_cp,\n", " num_points=n_point,\n", " bspline_order=4,\n", " distribution='sine',\n", " vec_size=2,\n", " in_name='h_cp',\n", " out_name='h')\n", "\n", "model.add_subsystem('interp', comp)\n", "\n", "prob.setup()\n", "prob.run_model()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "from openmdao.utils.spline_distributions import sine_distribution\n", "\n", "prob = om.Problem()\n", "model = prob.model\n", "\n", "n_cp = 5\n", "n_point = 10\n", "\n", "t = np.linspace(0, 0.5 * np.pi, n_cp)\n", "x = np.empty((2, n_cp))\n", "x[0, :] = np.sin(t)\n", "x[1, :] = 2.0 * np.sin(t)\n", "\n", "# In 2.x, the BsplinesComp had a built-in sinusoidal distribution.\n", "t_sin = sine_distribution(n_point) * np.pi * 0.5\n", "\n", "bspline_options = {'order': 4}\n", "comp = om.SplineComp(method='bsplines',\n", " x_interp_val=t_sin,\n", " num_cp=n_cp,\n", " vec_size=2,\n", " interp_options=bspline_options)\n", "\n", "prob.model.add_subsystem('interp', comp)\n", "\n", "comp.add_spline(y_cp_name='h_cp', y_interp_name='h', y_cp_val=x, y_units='km')\n", "\n", "prob.setup()\n", "prob.run_model()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 16, "id": "3ae33b39", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.587200Z", "iopub.status.busy": "2026-10-02T14:46:50.587074Z", "iopub.status.idle": "2026-10-02T14:46:50.589650Z", "shell.execute_reply": "2026-10-02T14:46:50.589074Z" }, "papermill": { "duration": 0.007202, "end_time": "2026-10-02T14:46:50.590284+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.583082+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# BSplineComp is no longer a valid class\n", "\n", "# prob = om.Problem()\n", "# model = prob.model\n", "\n", "# n_cp = 5\n", "# n_point = 10\n", "\n", "# t = np.linspace(0, 0.5*np.pi, n_cp)\n", "# x = np.empty((2, n_cp))\n", "# x[0, :] = np.sin(t)\n", "# x[1, :] = 2.0*np.sin(t)\n", "\n", "# comp = om.BsplinesComp(num_control_points=n_cp,\n", "# num_points=n_point,\n", "# bspline_order=4,\n", "# distribution='sine',\n", "# vec_size=2,\n", "# in_name='h_cp',\n", "# out_name='h')\n", "\n", "# model.add_subsystem('interp', comp)\n", "\n", "# prob.setup()\n", "# prob.run_model()" ] }, { "cell_type": "code", "execution_count": 17, "id": "76db9b92", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.602349Z", "iopub.status.busy": "2026-10-02T14:46:50.602201Z", "iopub.status.idle": "2026-10-02T14:46:50.608958Z", "shell.execute_reply": "2026-10-02T14:46:50.608408Z" }, "papermill": { "duration": 0.012705, "end_time": "2026-10-02T14:46:50.609389+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.596684+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "from openmdao.utils.spline_distributions import sine_distribution\n", "\n", "prob = om.Problem()\n", "model = prob.model\n", "\n", "n_cp = 5\n", "n_point = 10\n", "\n", "t = np.linspace(0, 0.5 * np.pi, n_cp)\n", "x = np.empty((2, n_cp))\n", "x[0, :] = np.sin(t)\n", "x[1, :] = 2.0 * np.sin(t)\n", "\n", "# In 2.x, the BsplinesComp had a built-in sinusoidal distribution.\n", "t_sin = sine_distribution(n_point) * np.pi * 0.5\n", "\n", "bspline_options = {'order': 4}\n", "comp = om.SplineComp(method='bsplines',\n", " x_interp_val=t_sin,\n", " num_cp=n_cp,\n", " vec_size=2,\n", " interp_options=bspline_options)\n", "\n", "prob.model.add_subsystem('interp', comp)\n", "\n", "comp.add_spline(y_cp_name='h_cp', y_interp_name='h', y_cp_val=x, y_units='km')\n", "\n", "prob.setup()\n", "prob.run_model()" ] }, { "cell_type": "markdown", "id": "5baf99ed", "metadata": { "papermill": { "duration": 0.045835, "end_time": "2026-10-02T14:46:50.660308+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.614473+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create an ExecComp with diagonal partials\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.add_subsystem('comp', ExecComp('y=3.0*x + 2.5',\n", " vectorize=True,\n", " x=np.ones(5), y=np.ones(5)))\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.add_subsystem('comp', om.ExecComp('y=3.0*x + 2.5',\n", " has_diag_partials=True,\n", " x=np.ones(5), y=np.ones(5)))\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "59fdfeb1", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.671538Z", "iopub.status.busy": "2026-10-02T14:46:50.671313Z", "iopub.status.idle": "2026-10-02T14:46:50.676231Z", "shell.execute_reply": "2026-10-02T14:46:50.675637Z" }, "papermill": { "duration": 0.011398, "end_time": "2026-10-02T14:46:50.676846+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.665448+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "'comp' " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = om.Problem()\n", "model = p.model\n", "\n", "model.add_subsystem('comp', om.ExecComp('y=3.0*x + 2.5',\n", " vectorize=True,\n", " x=np.ones(5), y=np.ones(5)))" ] }, { "cell_type": "code", "execution_count": 19, "id": "5ecf4b94", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.687142Z", "iopub.status.busy": "2026-10-02T14:46:50.686969Z", "iopub.status.idle": "2026-10-02T14:46:50.692132Z", "shell.execute_reply": "2026-10-02T14:46:50.691550Z" }, "papermill": { "duration": 0.011068, "end_time": "2026-10-02T14:46:50.692595+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.681527+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "'comp' " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = om.Problem()\n", "model = p.model\n", "\n", "model.add_subsystem('comp', om.ExecComp('y=3.0*x + 2.5',\n", " has_diag_partials=True,\n", " x=np.ones(5), y=np.ones(5)))" ] }, { "cell_type": "markdown", "id": "0de10b7a", "metadata": { "papermill": { "duration": 0.006352, "end_time": "2026-10-02T14:46:50.703974+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.697622+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create an IndepVarComp with multiple outputs\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "comp = om.IndepVarComp((\n", " ('indep_var_1', 1.0, {'lower': 0, 'upper': 10}),\n", " ('indep_var_2', 2.0, {'lower': 1., 'upper': 20}),\n", "))\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "comp = om.IndepVarComp()\n", "comp.add_output('indep_var_1', val=1.0)\n", "comp.add_output('indep_var_2', val=2.0)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "857fee03", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.718283Z", "iopub.status.busy": "2026-10-02T14:46:50.718143Z", "iopub.status.idle": "2026-10-02T14:46:50.720993Z", "shell.execute_reply": "2026-10-02T14:46:50.720460Z" }, "papermill": { "duration": 0.01038, "end_time": "2026-10-02T14:46:50.721550+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.711170+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# comp = om.IndepVarComp((\n", "# ('indep_var_1', 1.0, {'lower': 0, 'upper': 10}),\n", "# ('indep_var_2', 2.0, {'lower': 1., 'upper': 20}),\n", "# ))" ] }, { "cell_type": "code", "execution_count": 21, "id": "523f9d1d", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.770025Z", "iopub.status.busy": "2026-10-02T14:46:50.769865Z", "iopub.status.idle": "2026-10-02T14:46:50.773600Z", "shell.execute_reply": "2026-10-02T14:46:50.772978Z" }, "papermill": { "duration": 0.045098, "end_time": "2026-10-02T14:46:50.774193+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.729095+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "{'val': array([2.]),\n", " 'shape': (1,),\n", " 'size': 1,\n", " 'units': None,\n", " 'res_units': None,\n", " 'desc': '',\n", " 'distributed': False,\n", " 'tags': {'openmdao:allow_desvar', 'openmdao:indep_var'},\n", " 'ref': 1.0,\n", " 'ref0': 0.0,\n", " 'res_ref': 1.0,\n", " 'lower': None,\n", " 'upper': None,\n", " 'shape_by_conn': False,\n", " 'compute_shape': None,\n", " 'copy_shape': None,\n", " 'units_by_conn': False,\n", " 'compute_units': None,\n", " 'copy_units': None}" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "comp = om.IndepVarComp()\n", "comp.add_output('indep_var_1', val=1.0)\n", "comp.add_output('indep_var_2', val=2.0)" ] }, { "cell_type": "markdown", "id": "5a6cfd8b", "metadata": { "papermill": { "duration": 0.003534, "end_time": "2026-10-02T14:46:50.781404+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.777870+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create an ExternalCodeComp\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "class ParaboloidExternalCodeCompDerivs(om.ExternalCode):\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "class ParaboloidExternalCodeCompDerivs(om.ExternalCodeComp):\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "6364103e", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.789297Z", "iopub.status.busy": "2026-10-02T14:46:50.789088Z", "iopub.status.idle": "2026-10-02T14:46:50.791566Z", "shell.execute_reply": "2026-10-02T14:46:50.790948Z" }, "papermill": { "duration": 0.0072, "end_time": "2026-10-02T14:46:50.792050+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.784850+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# class ParaboloidExternalCodeCompDerivs(om.ExternalCode):\n", "# pass" ] }, { "cell_type": "code", "execution_count": 23, "id": "e299d51f", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.799783Z", "iopub.status.busy": "2026-10-02T14:46:50.799576Z", "iopub.status.idle": "2026-10-02T14:46:50.802297Z", "shell.execute_reply": "2026-10-02T14:46:50.801558Z" }, "papermill": { "duration": 0.007586, "end_time": "2026-10-02T14:46:50.802984+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.795398+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "class ParaboloidExternalCodeCompDerivs(om.ExternalCodeComp):\n", " pass" ] }, { "cell_type": "markdown", "id": "8821a1eb", "metadata": { "papermill": { "duration": 0.003389, "end_time": "2026-10-02T14:46:50.809800+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.806411+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a KSComponent\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.add_subsystem('ks', om.KSComponent(width=2))\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.add_subsystem('ks', om.KSComp(width=2))\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 24, "id": "b57be3bc", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.817921Z", "iopub.status.busy": "2026-10-02T14:46:50.817778Z", "iopub.status.idle": "2026-10-02T14:46:50.820060Z", "shell.execute_reply": "2026-10-02T14:46:50.819411Z" }, "papermill": { "duration": 0.007334, "end_time": "2026-10-02T14:46:50.820577+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.813243+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# model = om.Problem().model\n", "# model.add_subsystem('ks', om.KSComponent(width=2))" ] }, { "cell_type": "code", "execution_count": 25, "id": "dc457f01", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.828396Z", "iopub.status.busy": "2026-10-02T14:46:50.828266Z", "iopub.status.idle": "2026-10-02T14:46:50.831860Z", "shell.execute_reply": "2026-10-02T14:46:50.831070Z" }, "papermill": { "duration": 0.008133, "end_time": "2026-10-02T14:46:50.832308+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.824175+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "'ks' " ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model = om.Problem().model\n", "model.add_subsystem('ks', om.KSComp(width=2))" ] }, { "cell_type": "markdown", "id": "025ec6d1", "metadata": { "papermill": { "duration": 0.003544, "end_time": "2026-10-02T14:46:50.839315+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.835771+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a MetaModel\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "sin_mm = om.MetaModel()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "sin_mm = om.MetaModelUnStructuredComp()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 26, "id": "f2cef68c", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.886963Z", "iopub.status.busy": "2026-10-02T14:46:50.886689Z", "iopub.status.idle": "2026-10-02T14:46:50.889286Z", "shell.execute_reply": "2026-10-02T14:46:50.888718Z" }, "papermill": { "duration": 0.007479, "end_time": "2026-10-02T14:46:50.889855+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.882376+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# sin_mm = om.MetaModel()" ] }, { "cell_type": "code", "execution_count": 27, "id": "b05850ed", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.904691Z", "iopub.status.busy": "2026-10-02T14:46:50.904561Z", "iopub.status.idle": "2026-10-02T14:46:50.906862Z", "shell.execute_reply": "2026-10-02T14:46:50.906206Z" }, "papermill": { "duration": 0.009724, "end_time": "2026-10-02T14:46:50.907315+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.897591+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "sin_mm = om.MetaModelUnStructuredComp()" ] }, { "cell_type": "markdown", "id": "a68d937d", "metadata": { "papermill": { "duration": 0.004808, "end_time": "2026-10-02T14:46:50.940442+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.935634+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a MetaModelUnstructured\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "sin_mm = om.MetaModelUnstructured()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "sin_mm = om.MetaModelUnStructuredComp()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 28, "id": "a834fe85", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.950850Z", "iopub.status.busy": "2026-10-02T14:46:50.950678Z", "iopub.status.idle": "2026-10-02T14:46:50.952988Z", "shell.execute_reply": "2026-10-02T14:46:50.952342Z" }, "papermill": { "duration": 0.00821, "end_time": "2026-10-02T14:46:50.953522+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.945312+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# sin_mm = om.MetaModelUnstructured()" ] }, { "cell_type": "code", "execution_count": 29, "id": "257a34f1", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.964130Z", "iopub.status.busy": "2026-10-02T14:46:50.963970Z", "iopub.status.idle": "2026-10-02T14:46:50.966345Z", "shell.execute_reply": "2026-10-02T14:46:50.965828Z" }, "papermill": { "duration": 0.008252, "end_time": "2026-10-02T14:46:50.966987+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.958735+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "sin_mm = om.MetaModelUnStructuredComp()" ] }, { "cell_type": "markdown", "id": "3b017a24", "metadata": { "papermill": { "duration": 0.003538, "end_time": "2026-10-02T14:46:50.975204+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.971666+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a MetaModelStructured\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "interp = om.MetaModelStructured(method='scipy_cubic', vec_size=2)\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "interp = om.MetaModelStructuredComp(method='scipy_cubic', vec_size=2)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 30, "id": "9c9f87eb", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:50.983129Z", "iopub.status.busy": "2026-10-02T14:46:50.983013Z", "iopub.status.idle": "2026-10-02T14:46:50.987845Z", "shell.execute_reply": "2026-10-02T14:46:50.984773Z" }, "papermill": { "duration": 0.009447, "end_time": "2026-10-02T14:46:50.988416+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.978969+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# interp = om.MetaModelStructured(method='scipy_cubic', vec_size=2)" ] }, { "cell_type": "code", "execution_count": 31, "id": "afb157de", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.000281Z", "iopub.status.busy": "2026-10-02T14:46:51.000123Z", "iopub.status.idle": "2026-10-02T14:46:51.003369Z", "shell.execute_reply": "2026-10-02T14:46:51.002775Z" }, "papermill": { "duration": 0.013173, "end_time": "2026-10-02T14:46:51.006186+00:00", "exception": false, "start_time": "2026-10-02T14:46:50.993013+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "interp = om.MetaModelStructuredComp(method='scipy_cubic', vec_size=2)" ] }, { "cell_type": "markdown", "id": "98bdff16", "metadata": { "papermill": { "duration": 0.005278, "end_time": "2026-10-02T14:46:51.016517+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.011239+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a MultiFiMetaModel\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "mm = om.MultiFiMetaModel(nfi=2)\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "mm = om.MultiFiMetaModelUnStructuredComp(nfi=2)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 32, "id": "76e03ce4", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.029969Z", "iopub.status.busy": "2026-10-02T14:46:51.029766Z", "iopub.status.idle": "2026-10-02T14:46:51.032106Z", "shell.execute_reply": "2026-10-02T14:46:51.031603Z" }, "papermill": { "duration": 0.009979, "end_time": "2026-10-02T14:46:51.032541+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.022562+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# mm = om.MultiFiMetaModel(nfi=2)" ] }, { "cell_type": "code", "execution_count": 33, "id": "52e9dfcc", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.046004Z", "iopub.status.busy": "2026-10-02T14:46:51.045815Z", "iopub.status.idle": "2026-10-02T14:46:51.049107Z", "shell.execute_reply": "2026-10-02T14:46:51.048451Z" }, "papermill": { "duration": 0.010665, "end_time": "2026-10-02T14:46:51.049574+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.038909+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "mm = om.MultiFiMetaModelUnStructuredComp(nfi=2)" ] }, { "cell_type": "markdown", "id": "bd2dd43e", "metadata": { "papermill": { "duration": 0.005582, "end_time": "2026-10-02T14:46:51.060793+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.055211+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a MultiFiMetaModelUnStructured\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "mm = om.MultiFiMetaModelUnStructured(nfi=2)\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "mm = om.MultiFiMetaModelUnStructuredComp(nfi=2)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 34, "id": "3a88adf3", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.072870Z", "iopub.status.busy": "2026-10-02T14:46:51.072662Z", "iopub.status.idle": "2026-10-02T14:46:51.075889Z", "shell.execute_reply": "2026-10-02T14:46:51.075026Z" }, "papermill": { "duration": 0.010456, "end_time": "2026-10-02T14:46:51.076438+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.065982+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# mm = om.MultiFiMetaModelUnStructured(nfi=2)" ] }, { "cell_type": "code", "execution_count": 35, "id": "0adf30bd", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.103440Z", "iopub.status.busy": "2026-10-02T14:46:51.103291Z", "iopub.status.idle": "2026-10-02T14:46:51.106211Z", "shell.execute_reply": "2026-10-02T14:46:51.105238Z" }, "papermill": { "duration": 0.026084, "end_time": "2026-10-02T14:46:51.106874+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.080790+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "mm = om.MultiFiMetaModelUnStructuredComp(nfi=2)" ] }, { "cell_type": "markdown", "id": "6c3cd52a", "metadata": { "papermill": { "duration": 0.0335, "end_time": "2026-10-02T14:46:51.146254+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.112754+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a FloatKrigingSurrogate to a MetaModelStructuredComp\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "sin_mm.add_output('f_x', 0., surrogate=om.FloatKrigingSurrogate())\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "sin_mm.add_output('f_x', 0., surrogate=om.KrigingSurrogate())\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 36, "id": "7cc550b3", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.163797Z", "iopub.status.busy": "2026-10-02T14:46:51.163628Z", "iopub.status.idle": "2026-10-02T14:46:51.165972Z", "shell.execute_reply": "2026-10-02T14:46:51.165276Z" }, "papermill": { "duration": 0.006954, "end_time": "2026-10-02T14:46:51.166390+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.159436+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# sin_mm.add_output('f_x', 0., surrogate=om.FloatKrigingSurrogate())" ] }, { "cell_type": "code", "execution_count": 37, "id": "022a0186", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.353899Z", "iopub.status.busy": "2026-10-02T14:46:51.353560Z", "iopub.status.idle": "2026-10-02T14:46:51.359628Z", "shell.execute_reply": "2026-10-02T14:46:51.358821Z" }, "papermill": { "duration": 0.015807, "end_time": "2026-10-02T14:46:51.360276+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.344469+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "data": { "text/plain": [ "{'val': array([0.]),\n", " 'shape': (1,),\n", " 'size': 1,\n", " 'units': None,\n", " 'res_units': None,\n", " 'desc': '',\n", " 'distributed': False,\n", " 'tags': set(),\n", " 'ref': 1.0,\n", " 'ref0': 0.0,\n", " 'res_ref': 1.0,\n", " 'lower': None,\n", " 'upper': None,\n", " 'shape_by_conn': False,\n", " 'compute_shape': None,\n", " 'copy_shape': None,\n", " 'units_by_conn': False,\n", " 'compute_units': None,\n", " 'copy_units': None,\n", " 'surrogate': ,\n", " 'default_surrogate': False,\n", " 'surrogate_name': 'KrigingSurrogate'}" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sin_mm.add_output('f_x', 0., surrogate=om.KrigingSurrogate())" ] }, { "cell_type": "markdown", "id": "bc69c22f", "metadata": { "papermill": { "duration": 0.006272, "end_time": "2026-10-02T14:46:51.373113+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.366841+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Specify a default surrogate model for MetaModelStructuredComp\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "trig = om.MetaModelUnStructuredComp(vec_size=size)\n", "trig.default_surrogate = om.KrigingSurrogate()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "trig = om.MetaModelUnStructuredComp(vec_size=size, default_surrogate=om.KrigingSurrogate())\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "4f75cc5b", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.387302Z", "iopub.status.busy": "2026-10-02T14:46:51.387044Z", "iopub.status.idle": "2026-10-02T14:46:51.390230Z", "shell.execute_reply": "2026-10-02T14:46:51.389563Z" }, "papermill": { "duration": 0.011346, "end_time": "2026-10-02T14:46:51.390722+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.379376+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "trig = om.MetaModelUnStructuredComp(vec_size=2)\n", "trig.default_surrogate = om.KrigingSurrogate()" ] }, { "cell_type": "code", "execution_count": 39, "id": "e56127d5", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.404149Z", "iopub.status.busy": "2026-10-02T14:46:51.403945Z", "iopub.status.idle": "2026-10-02T14:46:51.406901Z", "shell.execute_reply": "2026-10-02T14:46:51.406259Z" }, "papermill": { "duration": 0.011065, "end_time": "2026-10-02T14:46:51.407571+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.396506+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "trig = om.MetaModelUnStructuredComp(vec_size=2, default_surrogate=om.KrigingSurrogate())" ] }, { "cell_type": "markdown", "id": "f0a6c4bf", "metadata": { "papermill": { "duration": 0.006429, "end_time": "2026-10-02T14:46:51.420233+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.413804+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Solvers\n", "### Declare a NewtonSolver with solve_subsystems set to False\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "newton = model.nonlinear_solver = om.NewtonSolver()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 40, "id": "e5072438", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.434212Z", "iopub.status.busy": "2026-10-02T14:46:51.434013Z", "iopub.status.idle": "2026-10-02T14:46:51.436709Z", "shell.execute_reply": "2026-10-02T14:46:51.436131Z" }, "papermill": { "duration": 0.010706, "end_time": "2026-10-02T14:46:51.437353+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.426647+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "newton = model.nonlinear_solver = om.NewtonSolver()" ] }, { "cell_type": "code", "execution_count": 41, "id": "c1ba555a", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.450467Z", "iopub.status.busy": "2026-10-02T14:46:51.450280Z", "iopub.status.idle": "2026-10-02T14:46:51.453191Z", "shell.execute_reply": "2026-10-02T14:46:51.452484Z" }, "papermill": { "duration": 0.010403, "end_time": "2026-10-02T14:46:51.453846+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.443443+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)" ] }, { "cell_type": "markdown", "id": "232e2a11", "metadata": { "papermill": { "duration": 0.006028, "end_time": "2026-10-02T14:46:51.465970+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.459942+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Control how a solver handles an error raised in a subsolver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "newton = model.nonlinear_solver = NewtonSolver()\n", "newton.options['maxiter'] = 1\n", "newton.options['err_on_maxiter'] = True\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "newton.options['maxiter'] = 1\n", "newton.options['err_on_non_converge'] = True\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 42, "id": "8d9a1c04", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.514611Z", "iopub.status.busy": "2026-10-02T14:46:51.514383Z", "iopub.status.idle": "2026-10-02T14:46:51.516939Z", "shell.execute_reply": "2026-10-02T14:46:51.516252Z" }, "papermill": { "duration": 0.045593, "end_time": "2026-10-02T14:46:51.517508+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.471915+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# newton = model.nonlinear_solver = om.NewtonSolver()\n", "# newton.options['maxiter'] = 1\n", "# newton.options['err_on_maxiter'] = True" ] }, { "cell_type": "code", "execution_count": 43, "id": "d2e8504a", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.529646Z", "iopub.status.busy": "2026-10-02T14:46:51.529492Z", "iopub.status.idle": "2026-10-02T14:46:51.531903Z", "shell.execute_reply": "2026-10-02T14:46:51.531534Z" }, "papermill": { "duration": 0.009553, "end_time": "2026-10-02T14:46:51.532672+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.523119+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "newton.options['maxiter'] = 1\n", "newton.options['err_on_non_converge'] = True" ] }, { "cell_type": "markdown", "id": "1026251e", "metadata": { "papermill": { "duration": 0.00556, "end_time": "2026-10-02T14:46:51.543795+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.538235+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Declare a BroydenSolver with the BoundsEnforceLS line search\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.circuit.nonlinear_solver = om.BroydenSolver()\n", "model.circuit.nonlinear_solver.linesearch = om.BoundsEnforceLS()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.nonlinear_solver = om.BroydenSolver()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 44, "id": "e32c1b20", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.555953Z", "iopub.status.busy": "2026-10-02T14:46:51.555781Z", "iopub.status.idle": "2026-10-02T14:46:51.558771Z", "shell.execute_reply": "2026-10-02T14:46:51.558308Z" }, "papermill": { "duration": 0.009698, "end_time": "2026-10-02T14:46:51.559156+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.549458+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "model.nonlinear_solver = om.BroydenSolver()\n", "model.nonlinear_solver.linesearch = om.BoundsEnforceLS()" ] }, { "cell_type": "code", "execution_count": 45, "id": "9a324c88", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.571000Z", "iopub.status.busy": "2026-10-02T14:46:51.570687Z", "iopub.status.idle": "2026-10-02T14:46:51.573577Z", "shell.execute_reply": "2026-10-02T14:46:51.573068Z" }, "papermill": { "duration": 0.009354, "end_time": "2026-10-02T14:46:51.573989+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.564635+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "model.nonlinear_solver = om.BroydenSolver()" ] }, { "cell_type": "markdown", "id": "b188ca15", "metadata": { "papermill": { "duration": 0.005495, "end_time": "2026-10-02T14:46:51.585355+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.579860+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Declare a NewtonSolver with the BoundsEnforceLS line search\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "newton.linesearch = om.BoundsEnforceLS()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 46, "id": "4bdc46f5", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.627258Z", "iopub.status.busy": "2026-10-02T14:46:51.627077Z", "iopub.status.idle": "2026-10-02T14:46:51.630024Z", "shell.execute_reply": "2026-10-02T14:46:51.629565Z" }, "papermill": { "duration": 0.011091, "end_time": "2026-10-02T14:46:51.630386+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.619295+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "newton = model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "newton.linesearch = om.BoundsEnforceLS()" ] }, { "cell_type": "code", "execution_count": 47, "id": "49473e7f", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.667729Z", "iopub.status.busy": "2026-10-02T14:46:51.667529Z", "iopub.status.idle": "2026-10-02T14:46:51.670452Z", "shell.execute_reply": "2026-10-02T14:46:51.669876Z" }, "papermill": { "duration": 0.035338, "end_time": "2026-10-02T14:46:51.671194+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.635856+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)" ] }, { "cell_type": "markdown", "id": "333f50e3", "metadata": { "papermill": { "duration": 0.00568, "end_time": "2026-10-02T14:46:51.682482+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.676802+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a preconditioner to PETScKrylov\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.linear_solver = om.PETScKrylov()\n", "model.linear_solver.preconditioner = om.LinearBlockGS()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.linear_solver = om.PETScKrylov()\n", "model.linear_solver.precon = om.LinearBlockGS()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 48, "id": "34181dbe", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.695083Z", "iopub.status.busy": "2026-10-02T14:46:51.694903Z", "iopub.status.idle": "2026-10-02T14:46:51.730991Z", "shell.execute_reply": "2026-10-02T14:46:51.730366Z" }, "papermill": { "duration": 0.043148, "end_time": "2026-10-02T14:46:51.731482+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.688334+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "\n", "# This try/except block is for our CI testing\n", "try:\n", " model.linear_solver = om.PETScKrylov()\n", " model.linear_solver.preconditioner = om.LinearBlockGS()\n", "except RuntimeError:\n", " pass" ] }, { "cell_type": "code", "execution_count": 49, "id": "1072eb06", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.744217Z", "iopub.status.busy": "2026-10-02T14:46:51.743822Z", "iopub.status.idle": "2026-10-02T14:46:51.747108Z", "shell.execute_reply": "2026-10-02T14:46:51.746572Z" }, "papermill": { "duration": 0.010328, "end_time": "2026-10-02T14:46:51.747813+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.737485+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "\n", "try:\n", " model.linear_solver = om.PETScKrylov()\n", " model.linear_solver.precon = om.LinearBlockGS()\n", "except RuntimeError:\n", " pass" ] }, { "cell_type": "markdown", "id": "c8171486", "metadata": { "papermill": { "duration": 0.005943, "end_time": "2026-10-02T14:46:51.759265+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.753322+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a preconditioner to ScipyKrylov\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.linear_solver.preconditioner = om.LinearBlockGS()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.linear_solver.precon = om.LinearBlockGS()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 50, "id": "20ac64df", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.771190Z", "iopub.status.busy": "2026-10-02T14:46:51.771031Z", "iopub.status.idle": "2026-10-02T14:46:51.773866Z", "shell.execute_reply": "2026-10-02T14:46:51.773210Z" }, "papermill": { "duration": 0.009459, "end_time": "2026-10-02T14:46:51.774295+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.764836+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "\n", "model.linear_solver.preconditioner = om.LinearBlockGS()" ] }, { "cell_type": "code", "execution_count": 51, "id": "3b6fc318", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.786634Z", "iopub.status.busy": "2026-10-02T14:46:51.786382Z", "iopub.status.idle": "2026-10-02T14:46:51.789195Z", "shell.execute_reply": "2026-10-02T14:46:51.788529Z" }, "papermill": { "duration": 0.009755, "end_time": "2026-10-02T14:46:51.789666+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.779911+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "\n", "model.linear_solver.precon = om.LinearBlockGS()" ] }, { "cell_type": "markdown", "id": "7ac1ec8a", "metadata": { "papermill": { "duration": 0.005775, "end_time": "2026-10-02T14:46:51.801260+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.795485+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a ArmijoGoldsteinLS to a NewtonSolver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "top.model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "top.model.nonlinear_solver.options['maxiter'] = 10\n", "top.model.linear_solver = om.ScipyKrylov()\n", "\n", "ls = top.model.nonlinear_solver.line_search = om.ArmijoGoldsteinLS(bound_enforcement='vector')\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "top.model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "top.model.nonlinear_solver.options['maxiter'] = 10\n", "top.model.linear_solver = om.ScipyKrylov()\n", "\n", "ls = top.model.nonlinear_solver.linesearch = om.ArmijoGoldsteinLS(bound_enforcement='vector')\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 52, "id": "7696b30d", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.814080Z", "iopub.status.busy": "2026-10-02T14:46:51.813920Z", "iopub.status.idle": "2026-10-02T14:46:51.817735Z", "shell.execute_reply": "2026-10-02T14:46:51.817171Z" }, "papermill": { "duration": 0.011362, "end_time": "2026-10-02T14:46:51.818505+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.807143+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "top = om.Problem()\n", "\n", "top.model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "top.model.nonlinear_solver.options['maxiter'] = 10\n", "top.model.linear_solver = om.ScipyKrylov()\n", "\n", "ls = top.model.nonlinear_solver.line_search = om.ArmijoGoldsteinLS(bound_enforcement='vector')" ] }, { "cell_type": "code", "execution_count": 53, "id": "f75eb980", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.833766Z", "iopub.status.busy": "2026-10-02T14:46:51.833564Z", "iopub.status.idle": "2026-10-02T14:46:51.836878Z", "shell.execute_reply": "2026-10-02T14:46:51.836392Z" }, "papermill": { "duration": 0.010432, "end_time": "2026-10-02T14:46:51.837270+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.826838+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "top = om.Problem()\n", "\n", "top.model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "top.model.nonlinear_solver.options['maxiter'] = 10\n", "top.model.linear_solver = om.ScipyKrylov()\n", "\n", "ls = top.model.nonlinear_solver.linesearch = om.ArmijoGoldsteinLS(bound_enforcement='vector')" ] }, { "cell_type": "markdown", "id": "95b75e46", "metadata": { "papermill": { "duration": 0.005795, "end_time": "2026-10-02T14:46:51.848765+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.842970+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a NonLinearRunOnce\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.nonlinear_solver = om.NonLinearRunOnce()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.nonlinear_solver = om.NonlinearRunOnce()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 54, "id": "39774517", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.861043Z", "iopub.status.busy": "2026-10-02T14:46:51.860757Z", "iopub.status.idle": "2026-10-02T14:46:51.862863Z", "shell.execute_reply": "2026-10-02T14:46:51.862414Z" }, "papermill": { "duration": 0.008764, "end_time": "2026-10-02T14:46:51.863273+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.854509+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# model = om.Problem().model\n", "# model.nonlinear_solver = om.NonLinearRunOnce()" ] }, { "cell_type": "code", "execution_count": 55, "id": "b854a61b", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.885835Z", "iopub.status.busy": "2026-10-02T14:46:51.885639Z", "iopub.status.idle": "2026-10-02T14:46:51.888463Z", "shell.execute_reply": "2026-10-02T14:46:51.887916Z" }, "papermill": { "duration": 0.019565, "end_time": "2026-10-02T14:46:51.888907+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.869342+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "model.nonlinear_solver = om.NonlinearRunOnce()" ] }, { "cell_type": "markdown", "id": "b1719f49", "metadata": { "papermill": { "duration": 0.005798, "end_time": "2026-10-02T14:46:51.900529+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.894731+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a PetscKSP\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.linear_solver = om.PetscKSP()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.linear_solver = om.PETScKrylov()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 56, "id": "43a43818", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.913442Z", "iopub.status.busy": "2026-10-02T14:46:51.913150Z", "iopub.status.idle": "2026-10-02T14:46:51.915303Z", "shell.execute_reply": "2026-10-02T14:46:51.914838Z" }, "papermill": { "duration": 0.00942, "end_time": "2026-10-02T14:46:51.915737+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.906317+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# model = om.Problem().model\n", "\n", "# model.linear_solver = om.PetscKSP()" ] }, { "cell_type": "code", "execution_count": 57, "id": "e6a92153", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.928590Z", "iopub.status.busy": "2026-10-02T14:46:51.928424Z", "iopub.status.idle": "2026-10-02T14:46:51.931822Z", "shell.execute_reply": "2026-10-02T14:46:51.931223Z" }, "papermill": { "duration": 0.010344, "end_time": "2026-10-02T14:46:51.932330+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.921986+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "try:\n", " model.linear_solver = om.PETScKrylov()\n", "except RuntimeError:\n", " pass" ] }, { "cell_type": "markdown", "id": "2708f685", "metadata": { "papermill": { "duration": 0.005707, "end_time": "2026-10-02T14:46:51.943881+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.938174+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Create a ScipyIterativeSolver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "model.linear_solver = om.ScipyIterativeSolver()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "model.linear_solver = om.ScipyKrylov()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 58, "id": "a39bcc8c", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.956358Z", "iopub.status.busy": "2026-10-02T14:46:51.956196Z", "iopub.status.idle": "2026-10-02T14:46:51.959163Z", "shell.execute_reply": "2026-10-02T14:46:51.958366Z" }, "papermill": { "duration": 0.009882, "end_time": "2026-10-02T14:46:51.959679+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.949797+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# model = om.Problem().model\n", "# model.linear_solver = om.ScipyIterativeSolver()" ] }, { "cell_type": "code", "execution_count": 59, "id": "24f36e45", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:51.972329Z", "iopub.status.busy": "2026-10-02T14:46:51.972168Z", "iopub.status.idle": "2026-10-02T14:46:51.975413Z", "shell.execute_reply": "2026-10-02T14:46:51.974835Z" }, "papermill": { "duration": 0.010371, "end_time": "2026-10-02T14:46:51.975865+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.965494+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "model = om.Problem().model\n", "model.linear_solver = om.ScipyKrylov()" ] }, { "cell_type": "markdown", "id": "671f1964", "metadata": { "papermill": { "duration": 0.005926, "end_time": "2026-10-02T14:46:51.987430+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.981504+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Drivers\n", "### Activate dynamic coloring on a Driver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "p.driver.options['dynamic_simul_derivs'] = True\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "p.driver.declare_coloring()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 60, "id": "3a3aa7ed", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.000600Z", "iopub.status.busy": "2026-10-02T14:46:52.000410Z", "iopub.status.idle": "2026-10-02T14:46:52.002782Z", "shell.execute_reply": "2026-10-02T14:46:52.002150Z" }, "papermill": { "duration": 0.009622, "end_time": "2026-10-02T14:46:52.003234+00:00", "exception": false, "start_time": "2026-10-02T14:46:51.993612+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# p = om.Problem()\n", "# p.driver.options['dynamic_simul_derivs'] = True" ] }, { "cell_type": "code", "execution_count": 61, "id": "c2485da4", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.017096Z", "iopub.status.busy": "2026-10-02T14:46:52.016926Z", "iopub.status.idle": "2026-10-02T14:46:52.019630Z", "shell.execute_reply": "2026-10-02T14:46:52.019178Z" }, "papermill": { "duration": 0.010928, "end_time": "2026-10-02T14:46:52.020087+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.009159+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "p = om.Problem()\n", "p.driver.declare_coloring()" ] }, { "cell_type": "markdown", "id": "8bdb4603", "metadata": { "papermill": { "duration": 0.06113, "end_time": "2026-10-02T14:46:52.086571+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.025441+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Add a ScipyOptimizer to a Problem\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "prob.driver = om.ScipyOptimizer()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "prob.driver = om.ScipyOptimizeDriver()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 62, "id": "8893f22f", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.114303Z", "iopub.status.busy": "2026-10-02T14:46:52.114068Z", "iopub.status.idle": "2026-10-02T14:46:52.116541Z", "shell.execute_reply": "2026-10-02T14:46:52.115996Z" }, "papermill": { "duration": 0.010208, "end_time": "2026-10-02T14:46:52.116956+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.106748+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# prob = om.Problem()\n", "# prob.driver = om.ScipyOptimizer()" ] }, { "cell_type": "code", "execution_count": 63, "id": "12c35caa", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.130405Z", "iopub.status.busy": "2026-10-02T14:46:52.130206Z", "iopub.status.idle": "2026-10-02T14:46:52.134345Z", "shell.execute_reply": "2026-10-02T14:46:52.133725Z" }, "papermill": { "duration": 0.011974, "end_time": "2026-10-02T14:46:52.134935+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.122961+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "prob = om.Problem()\n", "prob.driver = om.ScipyOptimizeDriver()" ] }, { "cell_type": "markdown", "id": "a0bd2dd3", "metadata": { "papermill": { "duration": 0.006451, "end_time": "2026-10-02T14:46:52.229717+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.223266+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Working with Derivatives\n", "### Use a pre-computed coloring on a model\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "p.driver.set_simul_deriv_color()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "p.driver.use_fixed_coloring()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 64, "id": "8547a262", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.242738Z", "iopub.status.busy": "2026-10-02T14:46:52.242477Z", "iopub.status.idle": "2026-10-02T14:46:52.245051Z", "shell.execute_reply": "2026-10-02T14:46:52.244415Z" }, "papermill": { "duration": 0.010553, "end_time": "2026-10-02T14:46:52.245991+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.235438+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# p = om.Problem()\n", "# p.driver = om.ScipyOptimizeDriver()\n", "# p.driver.set_simul_deriv_color()" ] }, { "cell_type": "code", "execution_count": 65, "id": "65631940", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.258328Z", "iopub.status.busy": "2026-10-02T14:46:52.258145Z", "iopub.status.idle": "2026-10-02T14:46:52.262133Z", "shell.execute_reply": "2026-10-02T14:46:52.261451Z" }, "papermill": { "duration": 0.010871, "end_time": "2026-10-02T14:46:52.262644+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.251773+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "p = om.Problem()\n", "p.driver = om.ScipyOptimizeDriver()\n", "p.driver.use_fixed_coloring()" ] }, { "cell_type": "markdown", "id": "3bbf6eb5", "metadata": { "papermill": { "duration": 0.005611, "end_time": "2026-10-02T14:46:52.273898+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.268287+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Case Reading\n", "### Query the iteration coordinate for a case\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "cr = om.CaseReader(self.filename)\n", "\n", "for i, c in enumerate(cr.list_cases()):\n", " case = cr.get_case(c)\n", "\n", " coord = case.iteration_coordinate\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "cr = om.CaseReader(filename)\n", "\n", "for i, c in enumerate(cr.list_cases(out_stream=None)):\n", " case = cr.get_case(c)\n", "\n", " coord = case.name\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 66, "id": "b0068db8", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:52.294485Z", "iopub.status.busy": "2026-10-02T14:46:52.294257Z", "iopub.status.idle": "2026-10-02T14:46:53.702530Z", "shell.execute_reply": "2026-10-02T14:46:53.701914Z" }, "papermill": { "duration": 1.415717, "end_time": "2026-10-02T14:46:53.703166+00:00", "exception": false, "start_time": "2026-10-02T14:46:52.287449+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "NL: NewtonSolver 'NL: Newton' on system '' failed to converge in 3 iterations.\n" ] } ], "source": [ "# This is to create a CaseRecorder\n", "from openmdao.test_suite.components.implicit_newton_linesearch import ImplCompTwoStates\n", "\n", "filename = \"sqlite_test\"\n", "recorder = om.SqliteRecorder(filename, record_viewer_data=False)\n", "\n", "prob = om.Problem()\n", "\n", "model = prob.model\n", "\n", "model.add_subsystem('px', om.IndepVarComp('x', 1.0))\n", "model.add_subsystem('comp', ImplCompTwoStates())\n", "model.connect('px.x', 'comp.x')\n", "\n", "model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)\n", "model.nonlinear_solver.options['maxiter'] = 3\n", "model.nonlinear_solver.options['iprint'] = 2\n", "model.linear_solver = om.ScipyKrylov()\n", "\n", "ls = model.nonlinear_solver.linesearch = om.ArmijoGoldsteinLS(bound_enforcement='vector')\n", "ls.options['maxiter'] = 3\n", "ls.options['alpha'] = 1.0\n", "\n", "# add recorder to nonlinear solver, linesearch solver and model\n", "model.nonlinear_solver.add_recorder(recorder)\n", "model.nonlinear_solver.linesearch.add_recorder(recorder)\n", "model.comp.add_recorder(recorder)\n", "model.add_recorder(recorder)\n", "\n", "prob.setup()\n", "prob.set_solver_print(0)\n", "\n", "prob['px.x'] = 2.0\n", "prob['comp.y'] = 0.0\n", "prob['comp.z'] = 1.6\n", "prob.run_model()\n", "prob.cleanup()" ] }, { "cell_type": "code", "execution_count": 67, "id": "90842505", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:53.713123Z", "iopub.status.busy": "2026-10-02T14:46:53.712956Z", "iopub.status.idle": "2026-10-02T14:46:53.715272Z", "shell.execute_reply": "2026-10-02T14:46:53.714554Z" }, "papermill": { "duration": 0.007806, "end_time": "2026-10-02T14:46:53.715716+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.707910+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# cr = om.CaseReader(filename)\n", "\n", "# for i, c in enumerate(cr.list_cases()):\n", "# case = cr.get_case(c)\n", "\n", "# coord = case.iteration_coordinate" ] }, { "cell_type": "code", "execution_count": 68, "id": "47d641ee", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:53.784655Z", "iopub.status.busy": "2026-10-02T14:46:53.784411Z", "iopub.status.idle": "2026-10-02T14:46:53.794955Z", "shell.execute_reply": "2026-10-02T14:46:53.794294Z" }, "papermill": { "duration": 0.018789, "end_time": "2026-10-02T14:46:53.795881+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.777092+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "cr = om.CaseReader(prob.get_outputs_dir() / filename)\n", "\n", "for i, c in enumerate(cr.list_cases(out_stream=None)):\n", " case = cr.get_case(c)\n", "\n", " coord = case.name" ] }, { "cell_type": "markdown", "id": "b79c37f5", "metadata": { "papermill": { "duration": 0.052064, "end_time": "2026-10-02T14:46:53.867145+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.815081+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Running a Model\n", "### Run a Driver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "prob.run()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "prob.run_driver()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 69, "id": "88ade9f3", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:53.885480Z", "iopub.status.busy": "2026-10-02T14:46:53.885238Z", "iopub.status.idle": "2026-10-02T14:46:53.887727Z", "shell.execute_reply": "2026-10-02T14:46:53.887072Z" }, "papermill": { "duration": 0.009834, "end_time": "2026-10-02T14:46:53.888283+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.878449+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# prob = om.Problem()\n", "# prob.run()" ] }, { "cell_type": "code", "execution_count": 70, "id": "3f84adf2", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:53.900786Z", "iopub.status.busy": "2026-10-02T14:46:53.900568Z", "iopub.status.idle": "2026-10-02T14:46:53.905467Z", "shell.execute_reply": "2026-10-02T14:46:53.904958Z" }, "papermill": { "duration": 0.012278, "end_time": "2026-10-02T14:46:53.906228+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.893950+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "prob = om.Problem()\n", "prob.setup()\n", "prob.run_driver();" ] }, { "cell_type": "markdown", "id": "9a438bc4", "metadata": { "papermill": { "duration": 0.154271, "end_time": "2026-10-02T14:46:54.066118+00:00", "exception": false, "start_time": "2026-10-02T14:46:53.911847+00:00", "status": "completed" }, "tags": [] }, "source": [ "### Run a Model without Running the Driver\n", "\n", "`````{tab-set}\n", "````{tab-item} OpenMDAO 2.x\n", "```\n", "prob.run_once()\n", "```\n", "````\n", "\n", "````{tab-item} OpenMDAO 3.0\n", "```\n", "prob.run_model()\n", "```\n", "````\n", "`````\n" ] }, { "cell_type": "code", "execution_count": 71, "id": "36edb080", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:54.079442Z", "iopub.status.busy": "2026-10-02T14:46:54.079189Z", "iopub.status.idle": "2026-10-02T14:46:54.081791Z", "shell.execute_reply": "2026-10-02T14:46:54.081124Z" }, "papermill": { "duration": 0.009901, "end_time": "2026-10-02T14:46:54.082191+00:00", "exception": false, "start_time": "2026-10-02T14:46:54.072290+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "# prob = om.Problem()\n", "# prob.run_once()" ] }, { "cell_type": "code", "execution_count": 72, "id": "c002f57f", "metadata": { "execution": { "iopub.execute_input": "2026-10-02T14:46:54.094552Z", "iopub.status.busy": "2026-10-02T14:46:54.094358Z", "iopub.status.idle": "2026-10-02T14:46:54.098840Z", "shell.execute_reply": "2026-10-02T14:46:54.098264Z" }, "papermill": { "duration": 0.011493, "end_time": "2026-10-02T14:46:54.099344+00:00", "exception": false, "start_time": "2026-10-02T14:46:54.087851+00:00", "status": "completed" }, "tags": [ "remove-input", "remove-output" ] }, "outputs": [], "source": [ "prob = om.Problem()\n", "prob.setup()\n", "prob.run_model()" ] } ], "metadata": { "celltoolbar": "Tags", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.14" }, "papermill": { "default_parameters": {}, "duration": 7.901993, "end_time": "2026-10-02T14:46:54.720882+00:00", "environment_variables": {}, "exception": null, "input_path": "/home/runner/work/OpenMDAO/OpenMDAO/openmdao/docs/openmdao_book/other_useful_docs/api_translation.ipynb", "output_path": "/home/runner/work/OpenMDAO/OpenMDAO/openmdao/docs/_executed_book/other_useful_docs/api_translation.ipynb", "parameters": {}, "start_time": "2026-10-02T14:46:46.818889+00:00", "version": "2.7.0" } }, "nbformat": 4, "nbformat_minor": 5 }