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@ -2,7 +2,8 @@
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using LinearAlgebra
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using TypedPolynomials
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using Distributed, SlurmClusterManager
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addprocs(SlurmManager())
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slurm_manager = SlurmManager()
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addprocs(slurm_manager)
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# Local deps
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include("random-poly.jl")
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@ -99,7 +100,8 @@ vars = variables(R)
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println("Solutions: ", sol)
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println("Norms (lower = better): ", [norm([f(vars => s) for f in R]) for s in sol])
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finalize(SlurmManager())
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# See https://github.com/kleinhenz/SlurmClusterManager.jl/issues/11
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finalize(slurm_manager)
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# Plotting the system and the real solutions
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# ENV["GKSwstype"] = "nul"
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