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https://github.com/ANL-CEEESA/MIPLearn.jl.git
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Add implementation of textbook branch-and-bound method
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@@ -9,6 +9,7 @@ Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
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Clp = "e2554f3b-3117-50c0-817c-e040a3ddf72d"
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Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
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DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
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Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
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JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
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JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
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@@ -18,7 +19,9 @@ MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
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PackageCompiler = "9b87118b-4619-50d2-8e1e-99f35a4d4d9d"
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Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
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PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
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TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
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[compat]
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