nlp (BlockData) – The pyomo model to be initialized.
nlp_solver (Optional[SolverBase]) – A solver interface appropriate for NLPs.
Default: ipopt
mip_solver (Optional[SolverBase]) – A solver interface appropriate for LPs and MILPs.
Default: gurobi_persistent
default_bound (float) – All unbounded variables will be given lower and
upper bounds equal to default_bound.
max_pwl_refinement_iter (int) – This is the maximum number of iterations used to refine the piecewise linear
approximation.
num_pwl_cons_to_refine_per_iter (int) – This is the maximum number of constraints to be refined with additional
segments in the piecewise linear approximation each iteration.
aggressive_substitution (bool) – This is passed along to the contrib.piecewise.univariate_nonlinear_decomposition
transformation.
skip_initial_nlp_solve (bool) – If True, the initial attempt at solving the NLP without initialization
will be skipped.
bounds_tol (float) – Bad things can happen with piecewise linear functions if the value of a
variable ends up outside of the variable’s bounds. This bounds_tol is used
to ensure that variable values are sufficiently inside of the variable’s
bounds.