# ApproxFun for vector-valued function

**URL:** https://discourse.julialang.org/t/approxfun-for-vector-valued-function/45135
**Category:** Numerics
**Created:** [August 18, 2020, 1:09am UTC](https://discourse.julialang.org/t/approxfun-for-vector-valued-function/45135 "2020-08-18T01:09:51Z")
**Posts on this page:** 1
**Showing post:** 8

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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: [August 18, 2020, 2:07pm UTC](https://discourse.julialang.org/t/approxfun-for-vector-valued-function/45135/8 "2020-08-18T14:07:55Z")

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> [@dlfivefifty](#):
>
> get to 50D one would need more sophisticated low rank approximation like tensor trains

I agree that TT is probably the best approach, but a Smolyak grid may also be viable alternative and there are some Julia implementations. I saw some TT libraries for Julia on Github but didn’t try any of them.

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