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@@ -19,12 +19,8 @@ Implemented algorithms include:
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Check out [this section](https://juliafirstorder.github.io/ProximalAlgorithms.jl/stable/guide/implemented_algorithms/) for an overview of the available algorithms.
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Algorithms rely on:
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- [AbstractDifferentiation.jl](https://github.com/JuliaDiff/AbstractDifferentiation.jl) for automatic differentiation
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(but you can easily bring your own gradients)
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- the [ProximalCore API](https://github.com/JuliaFirstOrder/ProximalCore.jl) for proximal mappings, projections, etc,
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to handle non-differentiable terms
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(see for example [ProximalOperators](https://github.com/JuliaFirstOrder/ProximalOperators.jl)
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for an extensive collection of functions).
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- [AbstractDifferentiation.jl](https://github.com/JuliaDiff/AbstractDifferentiation.jl) for automatic differentiation (but you can easily bring your own gradients)
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- the [ProximalCore API](https://github.com/JuliaFirstOrder/ProximalCore.jl) for proximal mappings, projections, etc, to handle non-differentiable terms (see for example [ProximalOperators](https://github.com/JuliaFirstOrder/ProximalOperators.jl) for an extensive collection of functions).
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## Documentation
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