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@@ -36,7 +36,7 @@ The above example builds a two level structured model `m` with 2 scenarios.
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Problems modeled in StructJuMP models can be solved in parallel using the [PIPS-NLP](https://github.com/Argonne-National-Laboratory/PIPS) parallel optimization solver. In addition, StructJuMP models can be solved (in serial only) using [Ipopt](https://projects.coin-or.org/Ipopt). The SturctJuMP models interface with the solvers via [StructJuMPSolverInterface.jl](https://github.com/Argonne-National-Laboratory/StructJuMPSolverInterface.jl).
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### Mixed-Integer Solvers
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[DSP](https://github.com/Argonne-National-Laboratory/DSP.git) can read models from StructJuMP via [DSP.jl](https://github.com/kibaekkim/DSP.jl.git). In particular, ``DSP`` can solver problems with integer variables in parallel.
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[DSP](https://github.com/Argonne-National-Laboratory/DSP.git) can read models from StructJuMP via [DSPopt.jl](https://github.com/kibaekkim/DSPopt.jl.git). In particular, ``DSP`` can solver problems with integer variables in parallel.
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### Stochastic Dual Dynamic Programming (SDDP)
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[StructDualDynProg](https://github.com/blegat/StructDualDynProg.jl) can run the SDDP algorithm on multi-stage models from StructJuMP.
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