# 1e6+ constrained optimization problems

**URL:** https://discourse.julialang.org/t/1e6-constrained-optimization-problems/22032
**Category:** Optimization (Mathematical)
**Created:** [March 19, 2019, 10:32am UTC](https://discourse.julialang.org/t/1e6-constrained-optimization-problems/22032 "2019-03-19T10:32:59Z")
**Posts on this page:** 1
**Showing post:** 18

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### Author: ![alvrg](https://avatars.discourse-cdn.com/v4/letter/a/eb8c5e/32.png) [@alvrg](https://discourse.julialang.org/u/alvrg)
#### Post date: [June 26, 2019, 10:49am UTC](https://discourse.julialang.org/t/1e6-constrained-optimization-problems/22032/18 "2019-06-26T10:49:22Z")

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Hi, maybe some unpopular opinion here. Did you try to use Numba in the minimizer functions `F`, `dF` and `H`? I get speedups of a factor \times 15 in all of them. This is just an easy to implement/intermediate solution, because [it seems](https://discourse.julialang.org/t/optimize-performance-comparison-optim-jl-vs-scipy/12588/3) that only Julia will be much faster, but in the meantime it may help a bit and you can still maintain your Python code.

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