Running JuMP example
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I am trying to run this example on a fresh julia installation (Version 1.0.2 (2018-11-08)):
https://github.com/JuliaOpt/JuMP.jl/blob/master/examples/basic.jl
But I always get this error.
julia> using JuMP, Clp
julia> m = Model(with_optimizer(Clp.Optimizer))
ERROR: UndefVarError: with_optimizer not defined
Stacktrace:
[1] top-level scope at none:0
What am I doing wrong? It seems such a simple example should run quite easily.
julia julia-jump
asked Nov 22 '18 at 9:38
SteinStein
85121333
add a comment |
I am trying to run this example on a fresh julia installation (Version 1.0.2 (2018-11-08)):
https://github.com/JuliaOpt/JuMP.jl/blob/master/examples/basic.jl
But I always get this error.
julia> using JuMP, Clp
julia> m = Model(with_optimizer(Clp.Optimizer))
ERROR: UndefVarError: with_optimizer not defined
Stacktrace:
[1] top-level scope at none:0
What am I doing wrong? It seems such a simple example should run quite easily.
julia julia-jump
asked Nov 22 '18 at 9:38
SteinStein
85121333
add a comment |
I am trying to run this example on a fresh julia installation (Version 1.0.2 (2018-11-08)):
https://github.com/JuliaOpt/JuMP.jl/blob/master/examples/basic.jl
But I always get this error.
julia> using JuMP, Clp
julia> m = Model(with_optimizer(Clp.Optimizer))
ERROR: UndefVarError: with_optimizer not defined
Stacktrace:
[1] top-level scope at none:0
What am I doing wrong? It seems such a simple example should run quite easily.
julia julia-jump
asked Nov 22 '18 at 9:38
SteinStein
85121333
I am trying to run this example on a fresh julia installation (Version 1.0.2 (2018-11-08)):
https://github.com/JuliaOpt/JuMP.jl/blob/master/examples/basic.jl
But I always get this error.
julia> using JuMP, Clp
julia> m = Model(with_optimizer(Clp.Optimizer))
ERROR: UndefVarError: with_optimizer not defined
Stacktrace:
[1] top-level scope at none:0
What am I doing wrong? It seems such a simple example should run quite easily.
julia julia-jump
julia julia-jump
asked Nov 22 '18 at 9:38
SteinStein
85121333
asked Nov 22 '18 at 9:38
SteinStein
85121333
asked Nov 22 '18 at 9:38
SteinStein
85121333
asked Nov 22 '18 at 9:38
SteinStein
85121333
asked Nov 22 '18 at 9:38
SteinStein
85121333
85121333
add a comment |
add a comment |
1 Answer
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votes
You are looking at the example from master branch from the GitHub repository. There are breaking changes in JuMP API since its last release.
You should look at basic.jl file in your local repository. It should be located in a directory location like ~/.julia/packages/JuMP/Xvn0n/examples/basic.jl (the Xvn0n part might be different in your case but the path pattern should be the same; if you are on Windows then ~ is a directory of your user profile).
The example you are referring to looks like this in the released version of the package:
using JuMP, Clp
m = Model(solver = ClpSolver())
@variable(m, 0 <= x <= 2)
@variable(m, 0 <= y <= 30)
@objective(m, Max, 5x + 3y)
@constraint(m, 1x + 5y <= 3.0)
print(m)
status = solve(m)
println("Objective value: ", getobjectivevalue(m))
println("x = ", getvalue(x))
println("y = ", getvalue(y))
You can also find the zipped sources of the latest release here https://github.com/JuliaOpt/JuMP.jl/releases/tag/v0.18.4, but of course as new releases are published the number will change so the most reliable place to look at the codes are examples that JuMP has on your local machine.
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
You are looking at the example from master branch from the GitHub repository. There are breaking changes in JuMP API since its last release.
You should look at basic.jl file in your local repository. It should be located in a directory location like ~/.julia/packages/JuMP/Xvn0n/examples/basic.jl (the Xvn0n part might be different in your case but the path pattern should be the same; if you are on Windows then ~ is a directory of your user profile).
The example you are referring to looks like this in the released version of the package:
using JuMP, Clp
m = Model(solver = ClpSolver())
@variable(m, 0 <= x <= 2)
@variable(m, 0 <= y <= 30)
@objective(m, Max, 5x + 3y)
@constraint(m, 1x + 5y <= 3.0)
print(m)
status = solve(m)
println("Objective value: ", getobjectivevalue(m))
println("x = ", getvalue(x))
println("y = ", getvalue(y))
You can also find the zipped sources of the latest release here https://github.com/JuliaOpt/JuMP.jl/releases/tag/v0.18.4, but of course as new releases are published the number will change so the most reliable place to look at the codes are examples that JuMP has on your local machine.
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
add a comment |
You are looking at the example from master branch from the GitHub repository. There are breaking changes in JuMP API since its last release.
You should look at basic.jl file in your local repository. It should be located in a directory location like ~/.julia/packages/JuMP/Xvn0n/examples/basic.jl (the Xvn0n part might be different in your case but the path pattern should be the same; if you are on Windows then ~ is a directory of your user profile).
The example you are referring to looks like this in the released version of the package:
using JuMP, Clp
m = Model(solver = ClpSolver())
@variable(m, 0 <= x <= 2)
@variable(m, 0 <= y <= 30)
@objective(m, Max, 5x + 3y)
@constraint(m, 1x + 5y <= 3.0)
print(m)
status = solve(m)
println("Objective value: ", getobjectivevalue(m))
println("x = ", getvalue(x))
println("y = ", getvalue(y))
You can also find the zipped sources of the latest release here https://github.com/JuliaOpt/JuMP.jl/releases/tag/v0.18.4, but of course as new releases are published the number will change so the most reliable place to look at the codes are examples that JuMP has on your local machine.
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
add a comment |
You are looking at the example from master branch from the GitHub repository. There are breaking changes in JuMP API since its last release.
You should look at basic.jl file in your local repository. It should be located in a directory location like ~/.julia/packages/JuMP/Xvn0n/examples/basic.jl (the Xvn0n part might be different in your case but the path pattern should be the same; if you are on Windows then ~ is a directory of your user profile).
The example you are referring to looks like this in the released version of the package:
using JuMP, Clp
m = Model(solver = ClpSolver())
@variable(m, 0 <= x <= 2)
@variable(m, 0 <= y <= 30)
@objective(m, Max, 5x + 3y)
@constraint(m, 1x + 5y <= 3.0)
print(m)
status = solve(m)
println("Objective value: ", getobjectivevalue(m))
println("x = ", getvalue(x))
println("y = ", getvalue(y))
You can also find the zipped sources of the latest release here https://github.com/JuliaOpt/JuMP.jl/releases/tag/v0.18.4, but of course as new releases are published the number will change so the most reliable place to look at the codes are examples that JuMP has on your local machine.
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
You are looking at the example from master branch from the GitHub repository. There are breaking changes in JuMP API since its last release.
You should look at basic.jl file in your local repository. It should be located in a directory location like ~/.julia/packages/JuMP/Xvn0n/examples/basic.jl (the Xvn0n part might be different in your case but the path pattern should be the same; if you are on Windows then ~ is a directory of your user profile).
The example you are referring to looks like this in the released version of the package:
using JuMP, Clp
m = Model(solver = ClpSolver())
@variable(m, 0 <= x <= 2)
@variable(m, 0 <= y <= 30)
@objective(m, Max, 5x + 3y)
@constraint(m, 1x + 5y <= 3.0)
print(m)
status = solve(m)
println("Objective value: ", getobjectivevalue(m))
println("x = ", getvalue(x))
println("y = ", getvalue(y))
You can also find the zipped sources of the latest release here https://github.com/JuliaOpt/JuMP.jl/releases/tag/v0.18.4, but of course as new releases are published the number will change so the most reliable place to look at the codes are examples that JuMP has on your local machine.
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
answered Nov 22 '18 at 9:59
Bogumił KamińskiBogumił Kamiński
15.4k21422
15.4k21422
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
add a comment |
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
Thanks this worked. This is quite hidden for someone new to Julia.
– Stein
Nov 22 '18 at 10:29
add a comment |
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