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QuantEcon
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auto publishing updates to notebooks
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about_lectures.ipynb

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}
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],
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"metadata": {
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"date": 1603941882.329957,
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"date": 1608594534.0873,
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"filename": "about_lectures.rst",
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"kernelspec": {
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"display_name": "Python",

aiyagari.ipynb

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}
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"metadata": {
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"date": 1608594534.2013953,
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"filename": "aiyagari.rst",
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"kernelspec": {
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"display_name": "Python",

ar1_processes.ipynb

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}
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"date": 1608594534.4911382,
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"filename": "ar1_processes.rst",
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"kernelspec": {
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"display_name": "Python",

cake_eating_numerical.ipynb

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}
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"metadata": {
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"date": 1608594534.8843958,
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"filename": "cake_eating_numerical.rst",
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cake_eating_problem.ipynb

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}
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"metadata": {
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"date": 1608594535.1528172,
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"filename": "cake_eating_problem.rst",
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career.ipynb

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}
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"metadata": {
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"date": 1608594535.3016055,
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"filename": "career.rst",
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"display_name": "Python",

cass_koopmans_1.ipynb

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},
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"outputs": [],
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"source": [
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"from numba import njit, jitclass, float64\n",
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"from numba import njit, float64\n",
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"from numba.experimental import jitclass\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline"
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"K_{T+1}: \\qquad -\\mu_T \\leq 0, \\ \\leq 0 \\text{ if } K_{T+1}=0; \\ =0 \\text{ if } K_{T+1}>0 \\tag{10}\n",
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"$$\n",
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"\n",
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"In computing [(9)](#equation-constraint3) we recognize that\n",
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"of $ K_t $ appears in both the time $ t $ and time $ t-1 $\n",
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"feasibility constraints.\n",
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"In computing [(9)](#equation-constraint3) we recognize that $ K_t $ appears\n",
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"in both the time $ t $ and time $ t-1 $ feasibility constraints.\n",
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"\n",
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"[(10)](#equation-constraint4) comes from differentiating with respect\n",
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"to $ K_{T+1} $ and applying the following **Karush-Kuhn-Tucker condition** (KKT)\n",
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}
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],
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"metadata": {
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"date": 1608594535.6542604,
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"filename": "cass_koopmans_1.rst",
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"display_name": "Python",

cass_koopmans_2.ipynb

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},
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"outputs": [],
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"source": [
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"from numba import njit, jitclass, float64\n",
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"from numba import njit, float64\n",
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"from numba.experimental import jitclass\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline"
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}
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],
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"metadata": {
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"date": 1608594536.272021,
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"filename": "cass_koopmans_2.rst",
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"display_name": "Python",

coleman_policy_iter.ipynb

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"\n",
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"from interpolation import interp\n",
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"from quantecon.optimize import brentq\n",
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"from numba import njit, jitclass, float64"
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"from numba import njit, float64\n",
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"from numba.experimental import jitclass"
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]
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},
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{
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}
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],
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"metadata": {
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"date": 1608594536.5015755,
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"filename": "coleman_policy_iter.rst",
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complex_and_trig.ipynb

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}
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"date": 1608594536.687449,
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"filename": "complex_and_trig.rst",
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"kernelspec": {
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"display_name": "Python",

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