# Powell's Line Search Algorithm in Julia

**URL:** <https://discourse.julialang.org/t/powells-line-search-algorithm-in-julia/115459>\
**Category:** Optimization (Mathematical)\
**Created:** [June 11, 2024, 8:28am UTC](https://discourse.julialang.org/t/powells-line-search-algorithm-in-julia/115459 "2024-06-11T08:28:29Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![lmiq](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/lmiq/32/18314_2.png) [@lmiq](https://discourse.julialang.org/u/lmiq)\
**Post date:** [June 11, 2024, 1:18pm UTC](https://discourse.julialang.org/t/powells-line-search-algorithm-in-julia/115459/6 "2024-06-11T13:18:15Z")

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Probably there’s no particular reason for that algorithm be better than any of the others, and I would give them a try. In particular, if sticking to Powell’s methods is a reason per se, using the implementations in PRIMA is probably the way to go, as they have better performance and fixed bugs relative to older (Powell’s) implementations. Otherwise there is a great variety of derivative-free methods (in Julia and otherwise) to be experimented. Maybe [this thread](https://discourse.julialang.org/t/comparison-of-derivative-free-black-box-optimization-algorithms-in-julia/109614) is a starting point to test alternatives.

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