pyomo_universal_pwl_format.py demonstrates concept of new universal human readable format for function approximation in PYOMO for:
1) stationary process modeling subblocks (for nonlinear system of equations)
2) state estimation (process data reconciliation) and gross error detection
Function "mesh block" builds PYOMO concrete model from df_PWL.
Returned by "mesh block" PYOMO model represents the union of convex simplexes.
Can be use to model even discontinuous functions and nonzero volume domains.
Function argument df_PWL - dataframe representing uneversal format for PWL approximation:
1) vertexes are index by rows
2) columns till last - vertex coordinates
3) last column - list of simplex numbers, that includes rows vertex
By contributing to this software project, I have read the contribution guide and agree to the following terms and conditions for my contribution:
I agree my contributions are submitted under the BSD license.
I represent I am authorized to make the contributions and grant the license. If my employer has rights to intellectual property that includes these contributions, I represent that I have received permission to make contributions and grant the required license on behalf of that employer.
Fixes # .
Summary/Motivation:
pyomo_universal_pwl_format.py demonstrates concept of new universal human readable format for function approximation in PYOMO for: 1) stationary process modeling subblocks (for nonlinear system of equations) 2) state estimation (process data reconciliation) and gross error detection
Function "mesh block" builds PYOMO concrete model from df_PWL. Returned by "mesh block" PYOMO model represents the union of convex simplexes. Can be use to model even discontinuous functions and nonzero volume domains.
Function argument df_PWL - dataframe representing uneversal format for PWL approximation: 1) vertexes are index by rows 2) columns till last - vertex coordinates 3) last column - list of simplex numbers, that includes rows vertex
Changes proposed in this PR:
Legal Acknowledgement
By contributing to this software project, I have read the contribution guide and agree to the following terms and conditions for my contribution: