example_interview.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, freifrau! I am TheInterview, your partial differential equations and simulations expert. Let's set up a simulation together.\n",
      "\n",
      "To get explanations, enter \"explain <optional keyword>\". \n",
      "To see a recap of what we know so far, enter \"recap <optional keyword>\". \n",
      "To interactively visualize ther current theory graph, enter \"tgwiev <optional theory name>\". \n",
      "Otherwise, you can always try and use LaTeX-type input.\n",
      "\n",
      "You can inspect the currently loaded MMT theories under http://localhost:34791\n",
      "\n",
      "\n",
      "\n",
      "How many dimensions does your model have?\n",
      "I am just assuming it's 1, since that is all we can currently handle.\n",
      "\n",
      "\n",
      "What is the domain you would like to simulate for?     Ω : type ❘ = [?;?], e.g. Ω = [0.0;1.0]\n",
      "By the way, you can always try and use LaTeX-type input.\n"
     ]
    }
   ],
   "source": [
    "anything"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Ω = [0.0;1.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s : Ω → ℝ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\\alpha = -5.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = x \\cdot x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "Δs = \\alpha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "linear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "elliptic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "poisson_1d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tgview "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "TheInterview",
   "language": "text",
   "name": "interview"
  },
  "language_info": {
   "file_extension": ".txt",
   "help_links": [
    {
     "text": "MetaKernel Magics",
     "url": "https://github.com/calysto/metakernel/blob/master/metakernel/magics/README.md"
    }
   ],
   "mimetype": "text/plain",
   "name": "text"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}