Monte Carlo Scratch Implementation

contents/monte_carlo_integration/code/scratch/monte_carlo.txt

@@ -0,0 +1,13 @@
+<(((x) * (x)) + ((y) * (y))) < (1) >
+
+
+define Monte Carlo with point number (num)
+set [Count v] to (0)
+repeat (num)
+    set [x v] to ((pick random (0) to (10000000)) / (10000000)) // 10000000 is arbitarily chosen
+    set [y v] to ((pick random (0) to (10000000)) / (10000000))
+    if <(((x) * (x)) + ((y) * (y))) < (1) > then
+        change [Count] by (1)
+    end
+end
+set [EstPI] to ((4) * ((Count) / (num)))

contents/monte_carlo_integration/monte_carlo_integration.md

@@ -91,6 +91,10 @@ each point is tested to see whether it's in the circle or not:
 [import:2-10, lang:"bash"](code/bash/monte_carlo.bash)
 {% sample lang="kotlin" %}
 [import:3-3, lang:"kotlin"](code/kotlin/MonteCarlo.kt)
+{% sample lang="scratch" %}
+<p>
+    <img  class="center" src="code/scratch/InCircle.svg" width="300" />
+</p>
 {% endmethod %}
 
 If it's in the circle, we increase an internal count by one, and in the end,
@@ -189,6 +193,11 @@ Feel free to submit your version via pull request, and thanks for reading!
 [import, lang:"bash"](code/bash/monte_carlo.bash)
 {% sample lang="kotlin" %}
 [import, lang:"kotlin"](code/kotlin/MonteCarlo.kt)
+{% sample lang="scratch" %}
+The code snippets were taken from this [scratch project](https://scratch.mit.edu/projects/319610349)
+<p>
+    <img  class="center" src="code/scratch/Algorithm.svg" width="600" />
+</p>
 {% endmethod %}
 
 <script>