Comments (1)
Thanks for reporting this. Admittedly, the aggregate_to_depth
code is the least tested part of Plasmo.jl right now. I'm not at all surprised you're having issues with it. I'll take a look in the next few days and see if I can get a fix out.
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Related Issues (20)
- How to insyall Plasmo in julia v0.6.4 HOT 2
- Using a solver other than Ipopt HOT 2
- Adding variables or objective to overall `OptiGraph` object HOT 1
- Docs link in Readme still points to Zavalalab HOT 1
- Modeling with many optinodes does not scale HOT 1
- `aggregate` throws an error for some OptiGraphs when `max_depth` > 0 HOT 1
- Optigraph set_objective is too slow HOT 1
- Quadratic objectives with variables on separate nodes is not supported HOT 1
- Calling `optimize!` on an expanded subgraph resets the solution of a different subgraph HOT 2
- `dual(subgraph, link_ref)` does not work like `value(subgraph, var_ref)` HOT 1
- `unset_binary` function does not work after `optimize!` is called HOT 1
- Retrieving callback data for lazy constraints fails HOT 5
- Does Plasmo.jl decompose solving process? HOT 2
- `dual` does not work on linkconstraints set after `optimize!` is called HOT 2
- Adding nodes to a subgraph after the main graph's backend is initialized does not reset graph backend HOT 1
- Setting `Max` instead of `Min` in objective makes `objective_value` negative HOT 2
- append_to_backend accesses private methods from MOI.Utilities HOT 3
- Can Plasmo be used for nested decomposition (in principle, at least)? HOT 4
- Set model does not update object data in v0.6
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