# Optimisation design advice - metaprogramming/closures

**URL:** <https://discourse.julialang.org/t/optimisation-design-advice-metaprogramming-closures/35264>\
**Category:** General Usage\
**Tags:** question, metaprogramming, optimization\
**Created:** [February 27, 2020, 11:26pm UTC](https://discourse.julialang.org/t/optimisation-design-advice-metaprogramming-closures/35264 "2020-02-27T23:26:43Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![Tamas\_Papp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tamas_papp/32/25949_2.png) [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)\
**Post date:** [February 28, 2020, 10:47am UTC](https://discourse.julialang.org/t/optimisation-design-advice-metaprogramming-closures/35264/6 "2020-02-28T10:47:38Z")

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> [@anon32405968](#):
>
> how is it possible when the arguments takes the form of a vector of floats? Is there a zero-overhead way to add some abstraction on top of that?

There are various simple ways to do this using higher-order functions, but please keep in mind that asking for a fully optimized, zero-overhead, and convenient solution without providing an MWE is somewhat unrealistic.

> [@Please read: make it easier to help you](https://discourse.julialang.org/t/psa-make-it-easier-to-help-you/14757):
>
> Welcome to the Julia Discourse! We are enthusiastic about helping Julia programmers, both beginner and experienced. This public service announcement (PSA) outlines best practices when asking for help. Following these points makes it easier for us to help you and more likely you’ll get a prompt, useful answer. Keywords are highlighted to make it easier to refer to specific points. Choose a descriptive title that captures the key part of your question, eg “plots with multiple axes” instead of …

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