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@xb00dx

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@xb00dx

Finish Documentation on the package before PESGM 2019

Both code comments and separate markdown files

  • installation
  • content
  • core functions
    • prob() function
    • check_violation_probability()
  • scenario approach
    • a toy example (point covering), illustrating
      • number of scenarios, support scenarios, and optimal solution
    • calculating scenario number (sample complexity based on different papers)
    • ancillary functions
      • given N, beta, calculate epsilon
      • given epsilon, beta, calculate N
    • comparison of sample complexity bounds
    • numerical example: chance-constrained DCOPF
  • sample average approximation
    • a toy example (point covering)
    • numerical example: chance-constrained DCOPF
  • robust optimization
    • a toy example (point covering)
    • numerical example: chance-constrained DCOPF

Based on the markdown files, build the project page

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