Francisco Coelho / zugzwang

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code/drafts/drafts.ipynb 104 KB
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3e0f9b8a   Francisco Coelho   back to work? 
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "44"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A\n",
    "sum([6, 6, 1, 5, 3, 6, 3, 9, 5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# indep\n",
    "sum([5, 2, 2, 3, 4, 3, 3, 5, 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sum([2,4,2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10-element Vector{Int64}:\n",
       " 4\n",
       " 3\n",
       " 3\n",
       " 2\n",
       " 5\n",
       " 1\n",
       " 4\n",
       " 2\n",
       " 5\n",
       " 4"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rand(1:5, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "154//75"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(88*7) // (100*3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5366666666666666"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "float((7 *23)//(300))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "ErrorException",
     "evalue": "syntax: invalid identifier name \"?\"",
     "output_type": "error",
     "traceback": [
      "syntax: invalid identifier name \"?\"\n",
      "\n",
      "Stacktrace:\n",
      " [1] top-level scope\n",
      "   @ ~/sci/projetos/zugzwang/code/drafts/drafts.ipynb:1"
     ]
    }
   ],
   "source": [
    "?Rational"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-61//100"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "1-(21*23)//300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "35+644+68+211+7+35"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "391//750"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "θ = (68 * 23)//(3000)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5213333333333333"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "float(θ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4853//3000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "θ_1 = (211 * 23) // 3000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "using StatsBase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = 0.001 .* [0, 35, 644, 68, 211, 0, 0, 7, 35];\n",
    "de = (1/23) .* [0, 0, 7, 3*θ, 3*(1-θ), 0, 0, 3, 10];"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.18670312228405667"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rmsd(ds, de)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5213333333333333"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "float(θ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.1029411764705883"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "211/68"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3222748815165877"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "68/211"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7.666666666666667"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "23/3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ab: 253//500, 0.506\n",
      "ac: -2543//3000, -0.8476666666666667\n"
     ]
    }
   ],
   "source": [
    "n_ab = 66\n",
    "n_ac = 241\n",
    "\n",
    "t_ab = (23*n_ab) // 3000\n",
    "println(\"ab: $t_ab, $(float(t_ab))\")\n",
    "\n",
    "t_ac = 1 - (23 * n_ac // 3000) \n",
    "println(\"ac: $t_ac, $(float(t_ac))\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a: 0.03402, b: -0.03298, c: 0.30903\n"
     ]
    },
    {
     "data": {
      "image/png": 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "using Plots\n",
    "\n",
    "t = 0:0.005:1\n",
    "a = 0.03402\n",
    "b = -0.03298\n",
    "c = 0.30903\n",
    "e = (xi -> a*(xi^2) + b*xi + c).(t)\n",
    "\n",
    "println(\"a: $a, b: $b, c: $c\")\n",
    "plot(t,e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.48471487360376253"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "0.03298/(0.03402 * 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.2167205406993828"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "0.08281/(0.03403 * 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b: -0.08280907372400756; 2a: 0.06805293005671077; argmin: 1.2168333333333334 => 0.30699680718336486\n"
     ]
    }
   ],
   "source": [
    "a = 18 /529\n",
    "b = -21903/264500\n",
    "c = 188207311/529000000\n",
    "\n",
    "err(t) = c + b*t + a*(t^2)\n",
    "m = -b / (2 * a)\n",
    "\n",
    "println(\"b: $b; 2a: $(2*a); argmin: $m => $(err(1))\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
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