Selected project bruteforce

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This line configures matplotlib to show figures embedded in the notebook, \n",
    "# instead of poping up a new window. More about that later. \n",
    "\n",
    "%matplotlib widget\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from mpl_toolkits import mplot3d\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The minimum point is  (-0.006012024048096087, 1.5811623246492985)\n"
     ]
    }
   ],
   "source": [
    "def f(x, y):\n",
    "    return -1*(3*( (1-x)**2 ) * np.exp( -(x**2)-(y+1)**2 ) - 10*(x/5 - (x**3) -(y**5)) * np.exp(-(x**2) - (y**2)) - (1/3)*np.exp(-((x+1)**2) -(y**2)))\n",
    "\n",
    "\n",
    "min = 999\n",
    "test=(0,0)\n",
    "\n",
    "for x in np.linspace(-3,3,500):\n",
    "    for y in np.linspace(-3,3,500):\n",
    "        test1=f(x,y)\n",
    "        \n",
    "        if(test1<min):\n",
    "            min = test1\n",
    "            test=(x,y)\n",
    "\n",
    "print(\"The minimum point is \",test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bruteforcing on the surface using evenly spaced decimals in R 200x200:  (2.9899497487437188, 4.994974874371859)\n",
      "Brute force with fixed step of 0.01:  (3.0, 5.0)\n"
     ]
    }
   ],
   "source": [
    "def f(x, y):\n",
    "    return 4*x + 5*y\n",
    "\n",
    "\n",
    "max = -999\n",
    "test=(0,0)\n",
    "count=0\n",
    "for x in np.linspace(0,7,200):\n",
    "    for y in np.linspace(0,7,200):\n",
    "        if  x+y<=8 and 2*x+y<=14 and x+3*y<=18 and (x!=0 and y!=0):\n",
    "            comp=f(x,y)\n",
    "#             count+=1\n",
    "#             print(\"the x:\",x,\" the y:\",y,\" the fun:\",test1)\n",
    "            if(comp>max):\n",
    "                max = comp\n",
    "                test=(x,y)\n",
    "\n",
    "print(\"Bruteforcing on the surface using evenly spaced decimals in R 200x200: \", test)\n",
    "\n",
    "max = -999\n",
    "test=(0,0)\n",
    "# print(np.arange(0,7,0.01).size)\n",
    "for x in np.arange(0,7,0.01):\n",
    "    for y in np.arange(0,7,0.01):\n",
    "        if  x+y<=8 and 2*x+y<=14 and x+3*y<=18 and (x!=0 and y!=0):\n",
    "            comp=f(x,y)\n",
    "#             print(\"the x:\",x,\" the y:\",y,\" the fun:\",test1)\n",
    "            if(comp>max):\n",
    "                max = comp\n",
    "                test=(x,y)\n",
    "\n",
    "print(\"Brute force with fixed step of 0.01: \" ,test)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:selected_venv]",
   "language": "python",
   "name": "conda-env-selected_venv-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}