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paper/paper.md

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# Summary
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[RegularizedOptimization.jl](https://github.com/JuliaSmoothOptimizers/RegularizedOptimization.jl) is a Julia package that implements a family of regularization and trust-region type algorithms for solving unconstrained or composite nonsmooth optimization problems of the form
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[RegularizedOptimization.jl](https://github.com/JuliaSmoothOptimizers/RegularizedOptimization.jl) is a Julia package that implements a family of regularization and trust-region type algorithms for solving unconstrained or composite nonsmooth optimization problems of the form [@aravkin-baraldi-orban-2022]:
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$$
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\min_{x \in \mathbb{R}^n} f(x) + h(x),

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