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Philipp Eisenhauer committed Nov 24, 2020
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26 changes: 2 additions & 24 deletions lectures/integration/notebook.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,7 @@
"\n",
"\\begin{align*}\n",
"\\int_a^b f(x) dx & = \\int_{x_0}^{x_1} f(x) dx + \\int_{x_1}^{x_2} f(x) dx + ... + \\int_{x_{n-1}}^{x_n} f(x) dx \\\\\n",
" &\\approx h \\frac{f(x_0) - f(x_1)}{2} + \\frac{f(x_1) - f(x_2)}{2} + ... + \\frac{f(x_{n-1}) - f(x_n)}{2}, \n",
" &\\approx h \\frac{f(x_0) - f(x_1)}{2} + h \\frac{f(x_1) - f(x_2)}{2} + ... + h \\frac{f(x_{n-1}) - f(x_n)}{2}, \n",
"\\end{align*}\n",
"\n",
"which we can further simplify to:\n",
Expand Down Expand Up @@ -401,7 +401,7 @@
"metadata": {},
"outputs": [],
"source": [
"integrand = quadrature_gauss_legendre_one(np.exp, 0, 1, 1001)\n",
"integrand = quadrature_gauss_legendre_one(np.exp, 0, 1, 1000)\n",
"np.testing.assert_almost_equal(integrand, np.exp(1) - 1)"
]
},
Expand All @@ -427,28 +427,6 @@
"\\end{align*}\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plot_benchmarking_exercise()"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand Down
2 changes: 1 addition & 1 deletion scripts/auxiliary.py
Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ def get_list_tasks(task_dir):
"""Get a list of tasks."""
cwd = os.getcwd()
os.chdir(task_dir)
lectures = glob.glob("*_*") + ["optimization"]
lectures = glob.glob("*_*") + ["optimization", "integration"]
os.chdir(cwd)

return lectures

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