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In this post I’ll explain and demonstrate an algorithm that simulates a group of entities grouping together, illustrating something called “flocking”. I think it’s quite neat because the flock exhibits some complex collective intelligence when just a few simple governing rules are applied to each entity. The original flocking algorithm was developed by Craig Reynolds in 1986, and has some super co
Easing functions specify the rate of change of a parameter over time. Objects in real life don’t just start and stop instantly, and almost never move at a constant speed. When we open a drawer, we first move it quickly, and slow it down as it comes out. Drop something on the floor, and it will first accelerate downwards, and then bounce back up after hitting the floor. This page helps you choose t
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Probability and Statistics Cookbook This cookbook emerged as small collection of formulae while I was taking statistics courses at UC Berkeley, but quickly developed into a comprehensive summary of various topics in basic probability theory and statistics. Download Last updated: July 20, 2011 Language: english To reproduce, please contact me. Changes Here are the 3 most recent entries of the cha
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