{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "remove-input",
     "active-ipynb",
     "remove-output"
    ]
   },
   "outputs": [],
   "source": [
    "try:\n",
    "    from openmdao.utils.notebook_utils import notebook_mode\n",
    "except ImportError:\n",
    "    !python -m pip install openmdao[notebooks]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NonlinearRunOnce\n",
    "\n",
    "The simplest solver in OpenMDAO is NonlinearRunOnce, which executes the\n",
    "system's components or subsystems sequentially. No iteration is performed by\n",
    "this solver, so it can only be used in systems where the following conditions\n",
    "are satisfied:\n",
    "\n",
    "1. System does not contain a cycle, though subsystems may.\n",
    "2. System does not contain any implicit states, though subsystems may.\n",
    "\n",
    "Note that a subsystem may contain cycles or implicit states provided that it is\n",
    "fitted with a solver that can handle them such as [NewtonSolver](../../../_srcdocs/packages/solvers.nonlinear/newton).\n",
    "\n",
    "Here is an example of using NonlinearRunOnce for a simple model with the `Paraboloid` component."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "remove-input",
     "remove-output"
    ]
   },
   "outputs": [],
   "source": [
    "from openmdao.utils.notebook_utils import get_code\n",
    "from myst_nb import glue\n",
    "glue(\"code_src38\", get_code(\"openmdao.test_suite.components.paraboloid.Paraboloid\"), display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ":::{Admonition} `Paraboloid` class definition \n",
    ":class: dropdown\n",
    "\n",
    "{glue:}`code_src38`\n",
    ":::"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import openmdao.api as om\n",
    "from openmdao.test_suite.components.paraboloid import Paraboloid\n",
    "\n",
    "prob = om.Problem()\n",
    "model = prob.model\n",
    "\n",
    "model.add_subsystem('comp', Paraboloid(), promotes=['x', 'y', 'f_xy'])\n",
    "\n",
    "model.linear_solver = om.LinearRunOnce()\n",
    "\n",
    "prob.setup(check=False, mode='fwd')\n",
    "\n",
    "prob.set_val('x', 0.0)\n",
    "prob.set_val('y', 0.0)\n",
    "\n",
    "prob.run_model()\n",
    "\n",
    "of = ['f_xy']\n",
    "wrt = ['x', 'y']\n",
    "derivs = prob.compute_totals(of=of, wrt=wrt, return_format='dict')\n",
    "\n",
    "print(derivs['f_xy']['x'])\n",
    "print(derivs['f_xy']['y'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "remove-input",
     "remove-output"
    ]
   },
   "outputs": [],
   "source": [
    "from openmdao.utils.assert_utils import assert_near_equal\n",
    "\n",
    "assert_near_equal(derivs['f_xy']['x'], [[-6.0]], 1e-6)\n",
    "assert_near_equal(derivs['f_xy']['y'], [[8.0]], 1e-6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NonlinearRunOnce Options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "om.show_options_table(\"openmdao.solvers.nonlinear.nonlinear_runonce.NonlinearRunOnce\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NonlinearRunOnce Constructor\n",
    "\n",
    "The call signature for the `NonlinearRunOnce` constructor is:\n",
    "\n",
    "```{eval-rst}\n",
    "    .. automethod:: openmdao.solvers.nonlinear.nonlinear_runonce.NonlinearRunOnce.__init__\n",
    "        :noindex:\n",
    "```"
   ]
  }
 ],
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