# Jupyter lab StackOverflowError when computing inverse matrix

**URL:** https://discourse.julialang.org/t/jupyter-lab-stackoverflowerror-when-computing-inverse-matrix/72691
**Category:** Jupyter-Notebook
**Tags:** stackoverflow
**Created:** [December 7, 2021, 3:16am UTC](https://discourse.julialang.org/t/jupyter-lab-stackoverflowerror-when-computing-inverse-matrix/72691 "2021-12-07T03:16:30Z")
**Posts on this page:** 1
**Showing post:** 2

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### Author: ![aramirezreyes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/aramirezreyes/32/42573_2.png) [@aramirezreyes](https://discourse.julialang.org/u/aramirezreyes)
#### Post date: [December 7, 2021, 3:33am UTC](https://discourse.julialang.org/t/jupyter-lab-stackoverflowerror-when-computing-inverse-matrix/72691/2 "2021-12-07T03:33:11Z")

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Hey @mrazomej, welcome to the forum!

If you are on macOS, it may be this bug:

> [@'inv' Causes Stack Overflow on Julia 1.7.0 and Mac OS](https://discourse.julialang.org/t/inv-causes-stack-overflow-on-julia-1-7-0-and-mac-os/72411/15):
>
> TLDR: it’s [this Julia issue](https://github.com/JuliaLang/julia/issues/43008) (also reported [here](https://github.com/JuliaLang/julia/issues/43301)), caused by a [problem with the OpenBLAS package](https://github.com/JuliaPackaging/Yggdrasil/issues/3996) where an experimental feature threading feature was accidentally enabled in the package used for the Julia release. Seems like it will require a rapid Julia 1.7.1 bugfix release. Workaround is to call BLAS.set\_num\_threads(1) for now frowning, or downgrade to Julia 1.6.3 until a fix is released.

Unfortunately it was overlooked before launch. We need to wait until a new version comes to have it fixed. Another option is using MKL instead of openblas as the linear algebra library.

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