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save primal, dual solutions and slack for future warmstart
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@ -146,7 +146,7 @@ function λandP(name::String, SDP_problem::JuMP.Model, varλ, varP)
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DefaultFormatter("{date}| {msg}")),
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"solver_log")
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λ, P = compute_λandP(SDP_problem, varλ, varP)
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λ, P, warmstart = compute_λandP(SDP_problem, varλ, varP)
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remove_handler(solver_logger, "solver_log")
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@ -155,6 +155,8 @@ function λandP(name::String, SDP_problem::JuMP.Model, varλ, varP)
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if λ > 0
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save(λ_fname, "λ", λ)
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save(P_fname, "P", P)
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@show warmstart[1]
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save(joinpath(name, "warmstart.jld"), "warmstart", warmstart)
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else
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throw(ErrorException("Solver did not produce a valid solution!: λ = $λ"))
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end
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@ -162,7 +164,7 @@ function λandP(name::String, SDP_problem::JuMP.Model, varλ, varP)
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end
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function compute_λandP(m, varλ, varP)
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function compute_λandP(m, varλ, varP; warmstart=nothing)
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λ = 0.0
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P = nothing
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while λ == 0.0
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@ -170,11 +172,16 @@ function compute_λandP(m, varλ, varP)
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solve_SDP(m)
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λ = JuMP.getvalue(varλ)
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P = JuMP.getvalue(varP)
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p_sol = m.internalModel.primal_sol
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d_sol = m.internalModel.dual_sol
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s = m.internalModel.slack
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catch y
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warn(solver_logger, y)
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end
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end
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return λ, P
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return λ, P, (p_sol, d_sol, s)
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end
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Kazhdan_from_sgap(λ,N) = sqrt(2*λ/N)
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