Random Walks II - Lecture 13

Random Walks II - Lecture 13

The Julia Programming Language via YouTube Direct link

Implementing time evolution of probabilities

9 of 9

9 of 9

Implementing time evolution of probabilities

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Random Walks II - Lecture 13

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  1. 1 Introduction
  2. 2 Julia concepts
  3. 3 Pascal's triangle
  4. 4 Convolutions build Pascal's triangle!
  5. 5 Random walks: Independent and identically-distributed random variables
  6. 6 Random walks as a cumulative sum
  7. 7 Cumulative sum
  8. 8 Evolving probability distributions in time
  9. 9 Implementing time evolution of probabilities

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