Modeling with Stochastic Simulation - Lecture 10

Modeling with Stochastic Simulation - Lecture 10

The Julia Programming Language via YouTube Direct link

Running the stochastic simulation

10 of 11

10 of 11

Running the stochastic simulation

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Classroom Contents

Modeling with Stochastic Simulation - Lecture 10

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  1. 1 Introduction
  2. 2 Julia features
  3. 3 Individual-based ("microscopic") models
  4. 4 Modelling time to success (or time to failure)
  5. 5 Visualizing component failure
  6. 6 String interpolation
  7. 7 String interpolation (HTML example in Pluto)
  8. 8 Math: Bernoulli random variables
  9. 9 Julia: Make it a type!
  10. 10 Running the stochastic simulation
  11. 11 Time evolution of the mean: Intuitive derivation

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