<commit_before>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(EJUCOINTCIECOPI)="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.3 Ejemplos de problemas UCO e introducción a CIECO y puntos interiores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Notas para contenedor de docker:\n",
    "\n",
    "Comando de docker para ejecución de la nota de forma local:\n",
    "\n",
    "nota: cambiar `<ruta a mi directorio>` por la ruta de directorio que se desea mapear a `/datos` dentro del contenedor de docker.\n",
    "\n",
    "`docker run --rm -v <ruta a mi directorio>:/datos --name jupyterlab_optimizacion -p 8888:8888 -d palmoreck/jupyterlab_optimizacion:2.1.4`\n",
    "\n",
    "password para jupyterlab: `<PASSWORD>`\n",
    "\n",
    "Detener el contenedor de docker:\n",
    "\n",
    "`docker stop jupyterlab_optimizacion`\n",
    "\n",
    "Documentación de la imagen de docker `palmoreck/jupyterlab_optimizacion:2.1.4` en [liga](https://github.com/palmoreck/dockerfiles/tree/master/jupyterlab/optimizacion).\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nota generada a partir de [liga1](https://drive.google.com/file/d/1zCIHNAxe5Shc36Qo0XjehHgwrafKSJ_t/view), [liga2](https://drive.google.com/file/d/12L7rOCgW7NEKl_xJbIGZz05XXVrOaPBz/view), [liga3](https://drive.google.com/file/d/1RMwUXEN_SOHKue-J9Cx3Ldvj9bejLjiM/view)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Al final de esta nota el y la lectora:\n",
    ":class: tip\n",
    "\n",
    "* \n",
    "\n",
    "* \n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Referencias:**\n",
    "\n",
    "1. <NAME>, <NAME>, Convex Optimization, Cambridge University Press, 2009.\n",
    "\n",
    "<NAME>, <NAME>, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, SIAM, 1996.\n",
    "\n",
    "<NAME>, <NAME>, Numerical Optimization, Springer, 2006."
   ]
  }
 ],<commit_msg>subtitles of 3.3 nbook<commit_after>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(EJUCOINTCIECOPI)="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.3 Ejemplos de problemas UCO e introducción a CIECO y puntos interiores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Notas para contenedor de docker:\n",
    "\n",
    "Comando de docker para ejecución de la nota de forma local:\n",
    "\n",
    "nota: cambiar `<ruta a mi directorio>` por la ruta de directorio que se desea mapear a `/datos` dentro del contenedor de docker.\n",
    "\n",
    "`docker run --rm -v <ruta a mi directorio>:/datos --name jupyterlab_optimizacion -p 8888:8888 -d palmoreck/jupyterlab_optimizacion:2.1.4`\n",
    "\n",
    "password para jupyterlab: `<PASSWORD>`\n",
    "\n",
    "Detener el contenedor de docker:\n",
    "\n",
    "`docker stop jupyterlab_optimizacion`\n",
    "\n",
    "Documentación de la imagen de docker `palmoreck/jupyterlab_optimizacion:2.1.4` en [liga](https://github.com/palmoreck/dockerfiles/tree/master/jupyterlab/optimizacion).\n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nota generada a partir de [liga1](https://drive.google.com/file/d/1zCIHNAxe5Shc36Qo0XjehHgwrafKSJ_t/view), [liga2](https://drive.google.com/file/d/12L7rOCgW7NEKl_xJbIGZz05XXVrOaPBz/view), [liga3](https://drive.google.com/file/d/1RMwUXEN_SOHKue-J9Cx3Ldvj9bejLjiM/view)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{admonition} Al final de esta nota el y la lectora:\n",
    ":class: tip\n",
    "\n",
    "* \n",
    "\n",
    "* \n",
    "\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ejemplos problemas UCO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mínimos cuadrados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regresión Logística"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introducción a CIECO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Componentes principales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Máquina de Soporte Vectorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Referencias:**\n",
    "\n",
    "1. <NAME>, <NAME>, Convex Optimization, Cambridge University Press, 2009.\n",
    "\n",
    "2. <NAME>, <NAME>, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, SIAM, 1996.\n",
    "\n",
    "<NAME>, <NAME>, Numerical Optimization, Springer, 2006."
   ]
  }
 ],
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