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add @elorannug to the about.md
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@@ -10,6 +10,7 @@ Thanks to the following contributors to `Manopt.jl`:
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* [Constantin Ahlmann-Eltze](https://const-ae.name) implemented the [gradient and differential `check` functions](helpers/checks.md)
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* [Renée Dornig](https://github.com/r-dornig) implemented the [particle swarm](solvers/particle_swarm.md), the [Riemannian Augmented Lagrangian Method](solvers/augmented_Lagrangian_method.md), the [Exact Penalty Method](solvers/exact_penalty_method.md), as well as the [`NonmonotoneLinesearch`](@ref). These solvers are also the first one with modular/exchangable sub solvers.
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* [Willem Diepeveen](https://www.maths.cam.ac.uk/person/wd292) implemented the [primal-dual Riemannian semismooth Newton](solvers/primal_dual_semismooth_Newton.md) solver.
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* [Ole Gunnar Røsholt Hovland](https://github.com/elorannug) started the implementation of the [gradient sampling algorithm](solvers/gradient_sampling.md)
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* [Hajg Jasa](https://www.ntnu.edu/employees/hajg.jasa) implemented the [convex bundle method](solvers/convex_bundle_method.md) and the [proximal bundle method](solvers/proximal_bundle_method.md) and a default subsolver each of them.
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* Even Stephansen Kjemsås contributed to the implementation of the [Frank Wolfe Method](solvers/FrankWolfe.md) solver.
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* Mathias Ravn Munkvold contributed most of the implementation of the [Adaptive Regularization with Cubics](solvers/adaptive_regularization_with_cubics.md) solver as well as its [Lanczos](@ref arc-Lanczos) subsolver

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