Open
Description
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
- a toy example (point covering), illustrating
- 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