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Renamed to OptimizationLBFGSB
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-8
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3 files changed

+8
-8
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lib/OptimizationLBFGS/Project.toml renamed to lib/OptimizationLBFGSB/Project.toml

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@@ -1,4 +1,4 @@
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name = "OptimizationLBFGS"
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name = "OptimizationLBFGSB"
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uuid = "22f7324a-a79d-40f2-bebe-3af60c77bd15"
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authors = ["paramthakkar123 <paramthakkar864@gmail.com>"]
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version = "0.1.0"

lib/OptimizationLBFGS/src/OptimizationLBFGS.jl renamed to lib/OptimizationLBFGSB/src/OptimizationLBFGSB.jl

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module OptimizationLBFGS
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module OptimizationLBFGSB
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using Optimization
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using DocStringExtensions

lib/OptimizationLBFGS/test/runtests.jl renamed to lib/OptimizationLBFGSB/test/runtests.jl

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@@ -2,23 +2,23 @@ using OptimizationBase
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using OptimizationBase: ReturnCode
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using OptimizationBase.SciMLBase: OptimizationFunction, OptimizationProblem
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using ForwardDiff, Zygote
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using OptimizationLBFGS
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using OptimizationLBFGSB
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using MLUtils
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using LBFGSB
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using Test
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@testset "OptimizationLBFGS.jl" begin
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@testset "OptimizationLBFGSB.jl" begin
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x0 = zeros(2)
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rosenbrock(x, p = nothing) = (1 - x[1])^2 + 100 * (x[2] - x[1]^2)^2
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l1 = rosenbrock(x0)
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optf = OptimizationFunction(rosenbrock, OptimizationBase.AutoForwardDiff())
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prob = OptimizationProblem(optf, x0)
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@time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
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@time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
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@test res.retcode == ReturnCode.Success
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prob = OptimizationProblem(optf, x0, lb = [-1.0, -1.0], ub = [1.0, 1.0])
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@time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
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@time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
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@test res.retcode == ReturnCode.Success
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function con2_c(res, x, p)
@@ -29,7 +29,7 @@ using Test
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prob = OptimizationProblem(optf, x0, lcons = [1.0, -Inf],
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ucons = [1.0, 0.0], lb = [-1.0, -1.0],
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ub = [1.0, 1.0])
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@time res = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 100)
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@time res = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 100)
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@test res.retcode == SciMLBase.ReturnCode.Success
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x0 = (-pi):0.001:pi
@@ -52,6 +52,6 @@ using Test
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l0 = optf(initpars, (x0, y0))
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prob = OptimizationProblem(optf, initpars, (x0, y0), lcons = [-Inf], ucons = [0.5],
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lb = [-10.0, -10.0, -10.0, -10.0, -10.0], ub = [10.0, 10.0, 10.0, 10.0, 10.0])
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opt1 = solve(prob, OptimizationLBFGS.LBFGS(), maxiters = 1000, callback = callback)
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opt1 = solve(prob, OptimizationLBFGSB.LBFGS(), maxiters = 1000, callback = callback)
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@test opt1.objective < l0
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end

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