Commit 38c10b4f authored by Sebastian Alexander Uerlich's avatar Sebastian Alexander Uerlich
Browse files

remove remaining mentions of gurobi in doc

parent f272f6e5
Pipeline #304268 passed with stages
in 8 minutes and 10 seconds
......@@ -26,7 +26,7 @@ def central_optimization(city_district, optimizer="gurobi_persistent", mode="con
- `convex` : Use linear constraints
- `integer` : May use non-linear constraints
models : dict, optional
Holds a single `gurobi.Model` for the whole district.
Holds a single `pyomo.ConcreteModel` for the whole district.
beta : float, optional
Tradeoff factor between system and customer objective. The customer
objective is multiplied with beta.
......
......@@ -23,7 +23,7 @@ def dual_decomposition(city_district, optimizer="gurobi_persistent", mode="conve
- `convex` : Use linear constraints
- `integer` : May use non-linear constraints
models : dict, optional
Holds a `gurobi.Model` for each node and the aggregator.
Holds a `pyomo.ConcreteModel` for each node and the aggregator.
eps_primal : float, optional
Primal stopping criterion for the dual decomposition algorithm.
rho : float, optional
......
......@@ -27,7 +27,7 @@ def exchange_admm(city_district, optimizer="gurobi_persistent", mode="convex", m
- `convex` : Use linear constraints
- `integer` : May use non-linear constraints
models : dict, optional
Holds a `gurobi.Model` for each node and the aggregator.
Holds a `pyomo.ConcreteModel` for each node and the aggregator.
beta : float, optional
Tradeoff factor between system and customer objective. The customer
objective is multiplied with beta.
......
......@@ -23,7 +23,7 @@ def local_optimization(city_district, optimizer="gurobi_persistent", mode="conve
- `convex` : Use linear constraints
- `integer` : May use non-linear constraints
models : dict, optional
Holds a single `gurobi.Model` for the whole district.
Holds a single `pyomo.ConcreteModel` for the whole district.
robustness : tuple, optional
Tuple of two floats. First entry defines how many time steps are
protected from deviations. Second entry defines the magnitude of
......
......@@ -23,7 +23,7 @@ def stand_alone_optimization(city_district, optimizer="gurobi_persistent", mode=
- `convex` : Use linear constraints
- `integer` : May use non-linear constraints
models : dict, optional
Holds a single `gurobi.Model` for the whole district.
Holds a single `pyomo.ConcreteModel` for the whole district.
robustness : tuple, optional
Not used here. Parameter exists for consistency among algorithms.
debug : bool, optional
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment