Adventures in Computing - From Punch Cards to Differential Equations

Adventures in Computing - From Punch Cards to Differential Equations

The Julia Programming Language via YouTube Direct link

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Adventures in Computing - From Punch Cards to Differential Equations

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  1. 1 Welcome!
  2. 2 Programming with punch cards
  3. 3 My first serious encounter with numerical methods for ODEs
  4. 4 Why should users have to decide whether their problem is stiff or not?
  5. 5 Livermore Solver for Ordinary Differential Equations Automatic (LSODA) is now available in Julia by LSODA.jl
  6. 6 Computational combustion (see DASSL.jl) and lessons about releasing code
  7. 7 Solar power plan and challenges that it provided
  8. 8 True problem wasn't in the code but in our math
  9. 9 "DAEs are not ODEs" (Differential-Algebraic Equations)
  10. 10 Development of theory and algorithms for Differential-Algebraic Equations (DAE, see DASKR.jl)
  11. 11 Solving F = ma with constraints
  12. 12 DAEs and various problems on which I was working around 1991
  13. 13 DAEs and parameter estimations, optimal control, etc.
  14. 14 Working on trajectories of small spacecraft
  15. 15 Chemical vapor deposition and DAE
  16. 16 Discrete stochastic simulations
  17. 17 Stochasticity in biological systems
  18. 18 Circadian rhythm
  19. 19 Spatial stochastic simulation
  20. 20 Stochastic simulation of COVID-19
  21. 21 Acknowledgments
  22. 22 Q&A: What do you think about barriers that scientists encounter when dealing with software engineering?
  23. 23 Q&A: What are your reflections on modeling biological systems?
  24. 24 Q&A: What do you think about the recent hype that differential equations get from the machine learning community?

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