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license: mit
---
Dataset of sensitivity systems from DiffOpt.jl.
Part of: https://github.com/LearningToOptimize/BatchNLPSolver.jl.
The solution of the linear systems in the dataset gives the sensitivity of the optimal solution of the underlying optimization problem wrt the parameters.
Each file is a different optimization problem. JLD2 files are segregated by (parameter1, ..., parameterm, M, N).
M and N are the LHS and RHS of the linear system respectivelly.
Included problems:
- Inverse kinematics of a 2dof planar arm.
- Number of Parameter Variables: 2 (each is a scalar).
- Parameters Interpretation: End-Point Target.
- Ref:https://github.com/jump-dev/DiffOpt.jl/blob/master/docs/src/examples/Planar_Arm_Example.jl
- AC-OPF IEEE 300 Bus case.
- Number of Parameter Variables: 1 (vector).
- Parameters Interpretation: Multiplicative Factor Loads.
- `_corrected`: matrix diagonal values are changed from the original to make the matrix non-singular.
- Ref:
- PowerModels: https://github.com/lanl-ansi/PowerModels.jl
- PGLib: https://github.com/power-grid-lib/pglib-opf |