definieren adaptive Entscheidungsvariablen in Springprüfungen

Question

Dies ist der Code:

s=5 
    k=3 
    mod= RobustModel(solver=GurobiSolver()) 
    @defUnc(mod,ξ[i=1:k,j=1:s]) 
    adaptive(mod,ext[1:k], policy=Affine, depends_on=ξ[1:k]) 
    @defVar(mod, obj) 
    @setObjective(mod, Max, obj) 

Der Fehler ist:

UndefVarError: Affine not defined. 

Warum tritt dieses Problem passieren?

Answer 1

Sie scheinen eine @ vor adaptive zu fehlen. Hier

ist ein Beispiel für Ihre Operationen neuere JuMP Makro-Syntax:

julia> using JuMP, JuMPeR, Gurobi 

julia> s = 5 
5 

julia> k = 3 
3 

julia> mod = RobustModel(solver=GurobiSolver()) 
Feasibility problem with: 
* 0 linear constraints 
* 0 variables 
Solver is Gurobi 

julia> @uncertain(mod,ξ[i=1:k,j=1:s]) 
3x5 Array{JuMPeR.Uncertain,2}: 
ξ[1,1] ξ[1,2] ξ[1,3] ξ[1,4] ξ[1,5] 
ξ[2,1] ξ[2,2] ξ[2,3] ξ[2,4] ξ[2,5] 
ξ[3,1] ξ[3,2] ξ[3,3] ξ[3,4] ξ[3,5] 

julia> @adaptive(mod,ext[1:k], policy=Affine, depends_on=ξ[1:k]) 
3-element Array{JuMPeR.Adaptive,1}: 
JuMPeR.Adaptive(Feasibility problem with: 
* 0 linear constraints 
* 0 variables 
Solver is Gurobi,1) 
JuMPeR.Adaptive(Feasibility problem with: 
* 0 linear constraints 
* 0 variables 
Solver is Gurobi,2) 
JuMPeR.Adaptive(Feasibility problem with: 
* 0 linear constraints 
* 0 variables 
Solver is Gurobi,3) 

julia> @variable(mod, obj) 
obj 

julia> @objective(mod, Max, obj) 
obj