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"cell_type": "markdown",
"metadata": {},
"source": [
"# <center>toy_notebook_en</center>\n",
"\n",
"<center>March 28, 2019</center>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 1 On the computation of $π$\n",
"## 1.1 Asking the maths library\n",
"My computer tells me that $π$ is *approximatively*"
"# On the computation of $π$\n",
"## Asking the maths library\n",
"My computer tells me that $\\pi$ is *approximatively*"
]
},
{
......@@ -40,7 +31,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.2 Buffon’s needle\n",
"## Buffon’s needle\n",
"Applying the method of [Buffon’s needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the **approximation**"
]
},
......@@ -73,9 +64,9 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"## 1.3 Using a surface fraction argument\n",
"A method that is easier to understand and does not make use of the sin function is based on the\n",
"fact that if $X ∼ U(0, 1)$ and $Y ∼ U(0, 1)$, then $P[X^2 + Y^2 ≤ 1] = π/4$ (see [\"Monte Carlo method\"\n",
"## Using a surface fraction argument\n",
"A method that is easier to understand and does not make use of the $\\sin$ function is based on the\n",
"fact that if $X \\sim U(0, 1)$ and $Y \\sim U(0, 1)$, then $P[X^2 + Y^2 \\leq 1] = \\pi/4$ (see [\"Monte Carlo method\"\n",
"on Wikipedia](https://en.wikipedia.org/wiki/Monte_Carlo_method)). The following code uses this approach:"
]
},
......@@ -117,7 +108,7 @@
"metadata": {},
"source": [
"\n",
"It is then straightforward to obtain a (not really good) approximation to $π$ by counting how\n",
"It is then straightforward to obtain a (not really good) approximation to $\\pi$ by counting how\n",
"many times, on average, $X^2 + Y^2$\n",
"is smaller than 1:"
]
......
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