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SebastianM-Cclaude
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add initial version of OptimizationMadNLP
This is a wrapper for https://github.com/MadNLP/MadNLP.jl Co-authored-by: Claude <[email protected]>
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lib/OptimizationMadNLP/LICENSE

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MIT License
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Copyright (c) 2025 Sebastian Micluța-Câmpeanu <[email protected]> and contributors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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name = "OptimizationMadNLP"
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uuid = "5d9c809f-c847-4062-9fba-1793bbfef577"
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version = "0.1.0"
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authors = ["Sebastian Micluța-Câmpeanu <[email protected]> and contributors"]
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[deps]
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
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NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
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OptimizationBase = "bca83a33-5cc9-4baa-983d-23429ab6bcbb"
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SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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SymbolicIndexingInterface = "2efcf032-c050-4f8e-a9bb-153293bab1f5"
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[compat]
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LinearAlgebra = "1.10.0"
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MadNLP = "0.8.12"
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ModelingToolkit = "10.23"
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NLPModels = "0.21.5"
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OptimizationBase = "3"
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SciMLBase = "2.90.0"
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SparseArrays = "1.10.0"
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SymbolicIndexingInterface = "0.3.40"
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Zygote = "0.7"
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julia = "1.10"
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[extras]
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Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
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ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
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Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
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[targets]
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test = ["Aqua", "ModelingToolkit", "Random", "ReverseDiff", "Test", "Symbolics", "Zygote"]

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