Pyomo sum inside sum with various index
I would like to do this:
but I don't know exacly how, this is what I've tried:
def R2(model, da, gr, cu):
return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
pyomo
add a comment |
I would like to do this:
but I don't know exacly how, this is what I've tried:
def R2(model, da, gr, cu):
return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
pyomo
add a comment |
I would like to do this:
but I don't know exacly how, this is what I've tried:
def R2(model, da, gr, cu):
return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
pyomo
I would like to do this:
but I don't know exacly how, this is what I've tried:
def R2(model, da, gr, cu):
return sum(sum(model.Dap[asi, pe] for asi in model.A[asi, gr, cu]) for pe in model.Pd[pe, da]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
pyomo
pyomo
edited Nov 18 at 23:45
asked Nov 18 at 23:06
Moltkerrimo
11
11
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1 Answer
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I am not 100% I understand your mathematical formulation.
Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.
If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA
, GR
, CU
, and the sets Pd
and A
are indexed over DA
, GR
, CU
:
Then you should write
def R2(model, d, g, c):
return sum(sum(model.Dap[p] for a in model.A[g, c])
for p in model.Pd[d]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
Otherwise, you should try to make the formulation more clear.
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
I am not 100% I understand your mathematical formulation.
Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.
If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA
, GR
, CU
, and the sets Pd
and A
are indexed over DA
, GR
, CU
:
Then you should write
def R2(model, d, g, c):
return sum(sum(model.Dap[p] for a in model.A[g, c])
for p in model.Pd[d]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
Otherwise, you should try to make the formulation more clear.
add a comment |
I am not 100% I understand your mathematical formulation.
Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.
If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA
, GR
, CU
, and the sets Pd
and A
are indexed over DA
, GR
, CU
:
Then you should write
def R2(model, d, g, c):
return sum(sum(model.Dap[p] for a in model.A[g, c])
for p in model.Pd[d]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
Otherwise, you should try to make the formulation more clear.
add a comment |
I am not 100% I understand your mathematical formulation.
Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.
If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA
, GR
, CU
, and the sets Pd
and A
are indexed over DA
, GR
, CU
:
Then you should write
def R2(model, d, g, c):
return sum(sum(model.Dap[p] for a in model.A[g, c])
for p in model.Pd[d]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
Otherwise, you should try to make the formulation more clear.
I am not 100% I understand your mathematical formulation.
Based on the way you write the constraint, it seems you have multiple Indexed Sets (i.e. sets which are themselves indexed over other sets), which is often a symptom that the formulation is a bit clunky, although it is sometimes necessary.
If what you are trying to express is a system of constraints, i.e. one constraint for each element of DA
, GR
, CU
, and the sets Pd
and A
are indexed over DA
, GR
, CU
:
Then you should write
def R2(model, d, g, c):
return sum(sum(model.Dap[p] for a in model.A[g, c])
for p in model.Pd[d]) <= 1
model.R2 = Constraint(model.DA, model.GR, model.CU, rule=R2)
Otherwise, you should try to make the formulation more clear.
answered Nov 21 at 1:01
Giorgio Balestrieri
645
645
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