# ODE non autonomous interpolation needed

**URL:** https://discourse.julialang.org/t/ode-non-autonomous-interpolation-needed/125175
**Category:** General Usage
**Tags:** interpolations, differentialequation
**Created:** [January 24, 2025, 5:02pm UTC](https://discourse.julialang.org/t/ode-non-autonomous-interpolation-needed/125175 "2025-01-24T17:02:50Z")
**Posts on this page:** 1
**Showing post:** 5

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### Author: ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [January 25, 2025, 10:20am UTC](https://discourse.julialang.org/t/ode-non-autonomous-interpolation-needed/125175/5 "2025-01-25T10:20:39Z")

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All of what Steven said, and then the next big performance thing would be to switch to DataInterpolations (preferably something with a continuous derivative like a cubic spline). DataInterpolations has some caching features so that repeated “nearby” interpolations should be about an order of magnitude faster, which is a special case that is common when used with ODE integration that the library is prepared for.

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