A Monte Carlo simulation is a randomly evolving simulation. In this video, I explain how this can be useful, with two fun examples of Monte Carlo simulations: The first model shows how pi can be determined with Monte Carlo sampling, and in the second part of the video we will take a look how animations can be rendered with Monte Carlo path tracing.
If you want to see another Monte Carlo simulation in action, check out this video:
The Statistical Interpretation of Entropy
If you want to support my channel, subscribing, liking and sharing is an amazing help. Thank you! :) If you feel like this video added value to your life and you want to support MarbleScience even more, please consider becoming a patron.
Patreon: MarbleScience
Chapters:
00:00 What are Monte Carlo simulations?
01:01 determine pi with Monte Carlo
03:01 analogy to study design
04:56 back to Monte Carlo
05:57 Monte Carlo path tracing
08:51 summary
There is also a text version of this video on my website:
https://marblescience.com/blog/monte-...
You can also find me at:
Instagram: marblescience
A Monte Carlo simulation is a randomly evolving simulation. In this video, I explain how this can be useful, with two fun examples of Monte Carlo simulations: The first model shows how pi can be determined with Monte Carlo sampling, and in the second part of the video we will take a look how animations can be rendered with Monte Carlo path tracing.
If you want to see another Monte Carlo simulation in action, check out this video:
The Statistical Interpretation of Entropy
If you want to support my channel, subscribing, liking and sharing is an amazing help. Thank you! :) If you feel like this video added value to your life and you want to support MarbleScience even more, please consider becoming a patron.
Patreon: MarbleScience
Chapters:
00:00 What are Monte Carlo simulations?
01:01 determine pi with Monte Carlo
03:01 analogy to study design
04:56 back to Monte Carlo
05:57 Monte Carlo path tracing
08:51 summary
There is also a text version of this video on my website:
https://marblescience.com/blog/monte-...
You can also find me at:
Instagram: marblescience
For a long time, I found it really exhausting to follow recipes while cooking. You read the relevant paragraph. You add one ingredient, and then, of course, you already forgot what to add next. You go back to the recipe. You don’t exactly know where to find the information. So, you end up reading the whole paragraph again. That’s how it goes over and over again, and don’t even get me started on atrocities like “add the rest of the flour.”
Now I finally got around to building “Treecipes.com,” a platform to visualize recipes in a tree form. Each ingredient and operation is a node in the tree. No more searching around to find the relevant information! Also, you can mark nodes as done so you can’t forget anything.
I mainly built this because I wanted to have it myself, but maybe you find it useful too! That would really make me happy.
Currently, there are not a lot of recipes on there, but there is an AI feature that allows you to convert your text recipes into a tree structure automatically, or you can manually add recipes with a node-based editor.
You can try it now at:
https://www.treecipes.com