Update toy_document_fr.Rmd

parent f43062f4
...@@ -26,8 +26,7 @@ theta = pi/2*runif(N) ...@@ -26,8 +26,7 @@ theta = pi/2*runif(N)
2/(mean(x+sin(theta)>1)) 2/(mean(x+sin(theta)>1))
``` ```
## Using Fraction arguement ## Using Fraction arguement
A method that is easier to understand and does not make use of the sin function is based on the fact that if $X\sim U(0,1)$ et $Y\sim U(0,1)$ then $P[X^2+Y^2\leq 1] = \pi/4$ [Mont carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method). The following code uses this approach: A method that is easier to understand and does not make use of the sin function is based on the fact that if $X\sim U(0,1)$ et $Y\sim U(0,1)$ then $P[X^2+Y^2\leq 1] = \pi/4$ [Mont carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method). The following code uses this approach:
```{r} ```{r}
...@@ -39,8 +38,7 @@ library(ggplot2) ...@@ -39,8 +38,7 @@ library(ggplot2)
ggplot(df, aes(x=X,y=Y,color=Accept)) + geom_point(alpha=.2) + coord_fixed() + theme_bw() ggplot(df, aes(x=X,y=Y,color=Accept)) + geom_point(alpha=.2) + coord_fixed() + theme_bw()
``` ```
It is therefore straightforward to obtain a (not really good) approximation to π by counting how many times, on average, X2+Y2 is smaller than 1 : It is therefore straightforward to obtain a (not really good) approximation to π by counting how many times, on average, $X^2 + Y^2$ is smaller than 1 :
```{r} ```{r}
4*mean(df$Accept) 4*mean(df$Accept)
......
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