From 1ed0c9cb7b5d8f5087373ee0dbd24310e517db83 Mon Sep 17 00:00:00 2001
From: 50b5daa9521febd9b1bedafb5c2ad791
<50b5daa9521febd9b1bedafb5c2ad791@app-learninglab.inria.fr>
Date: Tue, 13 Oct 2020 14:35:24 +0000
Subject: [PATCH] commit
---
module2/exo1/toy_notebook_en.ipynb | 7 +------
1 file changed, 1 insertion(+), 6 deletions(-)
diff --git a/module2/exo1/toy_notebook_en.ipynb b/module2/exo1/toy_notebook_en.ipynb
index e20592e..56e3d42 100644
--- a/module2/exo1/toy_notebook_en.ipynb
+++ b/module2/exo1/toy_notebook_en.ipynb
@@ -5,9 +5,7 @@
"metadata": {},
"source": [
"# On the computation of $\\pi$\n",
- "\n",
"## Asking the maths library\n",
- "\n",
"My computer tells me that $\\pi$ is *approximatively*"
]
},
@@ -34,7 +32,6 @@
"metadata": {},
"source": [
"## Buffon’s needle\n",
- "\n",
"Applying the method of [Buffon’s needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the **approximation**"
]
},
@@ -68,7 +65,6 @@
"metadata": {},
"source": [
"## Using a surface fraction argument\n",
- "\n",
"A method that is easier to understand and does not make use of the sin function is based on the fact that if *X ∼ U(0, 1)* and *Y ∼ U(0, 1)*, then *P\\[X2 + Y2 ≤ 1\\] = π/4* (see [\"Monte Carlo method\" on Wikipedia)](https://en.wikipedia.org/wiki/Monte_Carlo_method). The following code uses this approach:"
]
},
@@ -111,8 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "It is then straightforward to obtain a (not really good) approximation to $\\pi$ by counting how many times, on average, X2 + Y2\n",
- "is smaller than 1:"
+ "It is then straightforward to obtain a (not really good) approximation to $\\pi$ by counting how many times, on average, X2 + Y2 is smaller than 1:"
]
},
{
--
2.18.1