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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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\[
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\min_{x \in \mathbb{R}^n} \;f(x) + h(x),
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\]
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$$
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\min_{x \in \mathbb{R}^n} f(x) + h(x),
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$$
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where $f$ is typically smooth (possibly nonconvex) and $h$ is convex but possibly nonsmooth.
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The library provides a modular and extensible framework for experimenting with regularization-based methods such as:
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