OptimizeHeu.ipynb

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  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining the function\n",
    "\n",
    "def function(x):\n",
    "\n",
    "# Manually enter the function in the return statement\n",
    "\n",
    "    return 5*x**4 - 4*x**2 + 2*x -3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "initial_set = np.linspace(-100,100,21)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-3.0\n",
      "0.0\n"
     ]
    }
   ],
   "source": [
    "temp=-1000\n",
    "\n",
    "dummy = 1000\n",
    "\n",
    "for i in range (len(initial_set)):\n",
    "\n",
    "    value = function(initial_set[i])\n",
    "    \n",
    "    heuristic = abs(temp)-abs(value)\n",
    "\n",
    "    if abs(heuristic)<=abs(dummy):\n",
    "\n",
    "        dummy = heuristic\n",
    "\n",
    "        minima = value\n",
    "\n",
    "        j = initial_set[i] \n",
    "\n",
    "    else:\n",
    "\n",
    "        continue\n",
    "\n",
    "print(minima)\n",
    "\n",
    "print(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "second_list= np.linspace(-10,10,41)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1205.0\n",
      "-4.0\n"
     ]
    }
   ],
   "source": [
    "for i in range (len(second_list)):\n",
    "\n",
    "    value = function(second_list[i])\n",
    "    \n",
    "    heuristic = abs(temp)-abs(value)\n",
    "\n",
    "    if abs(heuristic)<=abs(dummy):\n",
    "   \n",
    "        dummy = heuristic\n",
    "   \n",
    "        minima = value\n",
    "   \n",
    "        j = second_list[i] \n",
    "   \n",
    "    else:\n",
    "   \n",
    "        continue\n",
    "\n",
    "print(minima)\n",
    "\n",
    "print(j)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "third_list = np.linspace(-5,-3,41)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "974.2079999999997\n",
      "-3.8\n"
     ]
    }
   ],
   "source": [
    "for i in range (len(third_list)):\n",
    "\n",
    "    value = function(third_list[i])\n",
    "    \n",
    "    heuristic = abs(temp)-abs(value)\n",
    "\n",
    "    if abs(heuristic)<=abs(dummy):\n",
    "    \n",
    "        dummy = heuristic\n",
    "    \n",
    "        minima = value\n",
    "    \n",
    "        j = third_list[i] \n",
    "    \n",
    "    else:\n",
    "    \n",
    "        continue\n",
    "\n",
    "print(minima)\n",
    "\n",
    "print(j)"
   ]
  }
 ],
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