MethodError: no method matching parseNLExpr_runtime
1
I have an error for the following code in Julia for solving NLP problem.
using JuMP
using Ipopt
using DataFrames,ConditionalJuMP
m = Model(solver=IpoptSolver())
#importing data
xi=[-1.016713795 0.804447648 0.932137661 1.064136698 -0.963217531
-1.048396778 1.076371484 1.099027177 1.061556926 -0.95185481
-0.980261302 0.271253807 0.184946729 1.062838197 -0.958794505
-0.980703191 0.278820569 0.231132677 1.062967459 -0.959302488
-0.953074503 -0.00768112 0.128808175 1.067743779 -0.978524489
-1.014866259 0.815325963 1.065956208 1.067059122 -0.974682291
-0.995088119 0.550359991 0.845087207 1.066556784 -0.973154887]
xj=xi
pii=[-300
-259.6530828
-284.3708955
-291.3387625
-342.4479859
-356.5031603
-351.0154738]
sample_size=7
bus_num=5
tempsum=0
#define variables
@variable(m,aij[1:2*bus_num,1:2*bus_num]) # define matrix by
2bus_num*2bus_num
for n=1:sample_size
for i=1:bus_num
for j=1:bus_num
tempsum=(aij[i,j]*xi[n,i]*xj[n,j]-pii[n,2])^2+tempsum
end
end
end
#define constraints
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]==aij[j,i])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]*aij[i,j]<=aij
[i,i]*aij[j,j])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,i]*aij[j,j]<=0.25*
(aij[i,i]+aij[j,j])*(aij[i,i]+aij[j,j]))
#define NLP objective function
@NLobjective(m, Min, tempsum)
solve(m)
println("m = ",getobjectivevalue(m))
println("Aij = ", getvalue(aij))
but after operation, an error was shown as below.
MethodError: no method matching parseNLExpr_runtime(::JuMP.Model,
::JuMP.GenericQuadExprFloat64,JuMP.Variable,
::ArrayReverseDiffSparse.NodeData,1, ::Int64, ::ArrayFloat64,1)
The error occurs on @NLobjective(m, Min, tempsum), but I dont know how to modify the code. May you please anyone help me ?
Besides, I am also confused by how to add positive definite contraints here for the solution Matrix aij, as I want to get a positive definite matrix aij.
matrix nlp sum julia-lang
asked Nov 12 '18 at 3:48
RyanRyan
93
add a comment |
1
I have an error for the following code in Julia for solving NLP problem.
using JuMP
using Ipopt
using DataFrames,ConditionalJuMP
m = Model(solver=IpoptSolver())
#importing data
xi=[-1.016713795 0.804447648 0.932137661 1.064136698 -0.963217531
-1.048396778 1.076371484 1.099027177 1.061556926 -0.95185481
-0.980261302 0.271253807 0.184946729 1.062838197 -0.958794505
-0.980703191 0.278820569 0.231132677 1.062967459 -0.959302488
-0.953074503 -0.00768112 0.128808175 1.067743779 -0.978524489
-1.014866259 0.815325963 1.065956208 1.067059122 -0.974682291
-0.995088119 0.550359991 0.845087207 1.066556784 -0.973154887]
xj=xi
pii=[-300
-259.6530828
-284.3708955
-291.3387625
-342.4479859
-356.5031603
-351.0154738]
sample_size=7
bus_num=5
tempsum=0
#define variables
@variable(m,aij[1:2*bus_num,1:2*bus_num]) # define matrix by
2bus_num*2bus_num
for n=1:sample_size
for i=1:bus_num
for j=1:bus_num
tempsum=(aij[i,j]*xi[n,i]*xj[n,j]-pii[n,2])^2+tempsum
end
end
end
#define constraints
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]==aij[j,i])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]*aij[i,j]<=aij
[i,i]*aij[j,j])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,i]*aij[j,j]<=0.25*
(aij[i,i]+aij[j,j])*(aij[i,i]+aij[j,j]))
#define NLP objective function
@NLobjective(m, Min, tempsum)
solve(m)
println("m = ",getobjectivevalue(m))
println("Aij = ", getvalue(aij))
but after operation, an error was shown as below.
MethodError: no method matching parseNLExpr_runtime(::JuMP.Model,
::JuMP.GenericQuadExprFloat64,JuMP.Variable,
::ArrayReverseDiffSparse.NodeData,1, ::Int64, ::ArrayFloat64,1)
The error occurs on @NLobjective(m, Min, tempsum), but I dont know how to modify the code. May you please anyone help me ?
Besides, I am also confused by how to add positive definite contraints here for the solution Matrix aij, as I want to get a positive definite matrix aij.
matrix nlp sum julia-lang
asked Nov 12 '18 at 3:48
RyanRyan
93
Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it'stempsum... Also, perhaps list the version numbers of the packages and software you're using...
– daycaster
Nov 12 '18 at 10:49
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22
add a comment |
1
1
1
I have an error for the following code in Julia for solving NLP problem.
using JuMP
using Ipopt
using DataFrames,ConditionalJuMP
m = Model(solver=IpoptSolver())
#importing data
xi=[-1.016713795 0.804447648 0.932137661 1.064136698 -0.963217531
-1.048396778 1.076371484 1.099027177 1.061556926 -0.95185481
-0.980261302 0.271253807 0.184946729 1.062838197 -0.958794505
-0.980703191 0.278820569 0.231132677 1.062967459 -0.959302488
-0.953074503 -0.00768112 0.128808175 1.067743779 -0.978524489
-1.014866259 0.815325963 1.065956208 1.067059122 -0.974682291
-0.995088119 0.550359991 0.845087207 1.066556784 -0.973154887]
xj=xi
pii=[-300
-259.6530828
-284.3708955
-291.3387625
-342.4479859
-356.5031603
-351.0154738]
sample_size=7
bus_num=5
tempsum=0
#define variables
@variable(m,aij[1:2*bus_num,1:2*bus_num]) # define matrix by
2bus_num*2bus_num
for n=1:sample_size
for i=1:bus_num
for j=1:bus_num
tempsum=(aij[i,j]*xi[n,i]*xj[n,j]-pii[n,2])^2+tempsum
end
end
end
#define constraints
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]==aij[j,i])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]*aij[i,j]<=aij
[i,i]*aij[j,j])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,i]*aij[j,j]<=0.25*
(aij[i,i]+aij[j,j])*(aij[i,i]+aij[j,j]))
#define NLP objective function
@NLobjective(m, Min, tempsum)
solve(m)
println("m = ",getobjectivevalue(m))
println("Aij = ", getvalue(aij))
but after operation, an error was shown as below.
MethodError: no method matching parseNLExpr_runtime(::JuMP.Model,
::JuMP.GenericQuadExprFloat64,JuMP.Variable,
::ArrayReverseDiffSparse.NodeData,1, ::Int64, ::ArrayFloat64,1)
The error occurs on @NLobjective(m, Min, tempsum), but I dont know how to modify the code. May you please anyone help me ?
Besides, I am also confused by how to add positive definite contraints here for the solution Matrix aij, as I want to get a positive definite matrix aij.
matrix nlp sum julia-lang
asked Nov 12 '18 at 3:48
RyanRyan
93
I have an error for the following code in Julia for solving NLP problem.
using JuMP
using Ipopt
using DataFrames,ConditionalJuMP
m = Model(solver=IpoptSolver())
#importing data
xi=[-1.016713795 0.804447648 0.932137661 1.064136698 -0.963217531
-1.048396778 1.076371484 1.099027177 1.061556926 -0.95185481
-0.980261302 0.271253807 0.184946729 1.062838197 -0.958794505
-0.980703191 0.278820569 0.231132677 1.062967459 -0.959302488
-0.953074503 -0.00768112 0.128808175 1.067743779 -0.978524489
-1.014866259 0.815325963 1.065956208 1.067059122 -0.974682291
-0.995088119 0.550359991 0.845087207 1.066556784 -0.973154887]
xj=xi
pii=[-300
-259.6530828
-284.3708955
-291.3387625
-342.4479859
-356.5031603
-351.0154738]
sample_size=7
bus_num=5
tempsum=0
#define variables
@variable(m,aij[1:2*bus_num,1:2*bus_num]) # define matrix by
2bus_num*2bus_num
for n=1:sample_size
for i=1:bus_num
for j=1:bus_num
tempsum=(aij[i,j]*xi[n,i]*xj[n,j]-pii[n,2])^2+tempsum
end
end
end
#define constraints
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]==aij[j,i])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,j]*aij[i,j]<=aij
[i,i]*aij[j,j])
@constraint(m, [i=1:2*bus_num,j=2*bus_num],aij[i,i]*aij[j,j]<=0.25*
(aij[i,i]+aij[j,j])*(aij[i,i]+aij[j,j]))
#define NLP objective function
@NLobjective(m, Min, tempsum)
solve(m)
println("m = ",getobjectivevalue(m))
println("Aij = ", getvalue(aij))
but after operation, an error was shown as below.
MethodError: no method matching parseNLExpr_runtime(::JuMP.Model,
::JuMP.GenericQuadExprFloat64,JuMP.Variable,
::ArrayReverseDiffSparse.NodeData,1, ::Int64, ::ArrayFloat64,1)
The error occurs on @NLobjective(m, Min, tempsum), but I dont know how to modify the code. May you please anyone help me ?
Besides, I am also confused by how to add positive definite contraints here for the solution Matrix aij, as I want to get a positive definite matrix aij.
matrix nlp sum julia-lang
matrix nlp sum julia-lang
asked Nov 12 '18 at 3:48
RyanRyan
93
asked Nov 12 '18 at 3:48
RyanRyan
93
edited Nov 12 '18 at 13:57
Ryan
asked Nov 12 '18 at 3:48
RyanRyan
93
asked Nov 12 '18 at 3:48
RyanRyan
93
asked Nov 12 '18 at 3:48
RyanRyan
93
93
Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it'stempsum... Also, perhaps list the version numbers of the packages and software you're using...
– daycaster
Nov 12 '18 at 10:49
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22
add a comment |
Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it'stempsum... Also, perhaps list the version numbers of the packages and software you're using...
– daycaster
Nov 12 '18 at 10:49
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22
Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it's
tempsum... Also, perhaps list the version numbers of the packages and software you're using...– daycaster
Nov 12 '18 at 10:49
Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it's
tempsum... Also, perhaps list the version numbers of the packages and software you're using...– daycaster
Nov 12 '18 at 10:49
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22
add a comment |
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Hi Ryan. In questions it's best to use simple data rather than CSV files, since no-one has access to those. Is the problem still there if you replace all these with a few simple numbers? (This is the MWE approach.) Then people can copy/paste your code. The error suggests that one of the arguments isn't the right form; at a guess, it's
tempsum... Also, perhaps list the version numbers of the packages and software you're using...– daycaster
Nov 12 '18 at 10:49
@daycaster: Hi, thanks for your suggestion. I just posted a part of data. actually I want to upload my data file, but I found there is no item here.
– Ryan
Nov 12 '18 at 14:03
No problem, but bear in mind that the more tasks the prospective answerers have to do, the fewer of them will be prepared to do them all. :)
– daycaster
Nov 12 '18 at 14:11
@daycaster:I see, but appreciate your advice!
– Ryan
Nov 12 '18 at 14:22