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