# Huge thanks to core devs for having such good implimentations of random Linear Algebra functions!hr

**URL:** <https://discourse.julialang.org/t/huge-thanks-to-core-devs-for-having-such-good-implimentations-of-random-linear-algebra-functions-hr/40007>\
**Category:** Numerics\
**Created:** [May 23, 2020, 2:24am UTC](https://discourse.julialang.org/t/huge-thanks-to-core-devs-for-having-such-good-implimentations-of-random-linear-algebra-functions-hr/40007 "2020-05-23T02:24:26Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Oscar\_Smith](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/oscar_smith/32/25343_2.png) [@Oscar\_Smith](https://discourse.julialang.org/u/Oscar_Smith)\
**Post date:** [May 23, 2020, 2:24am UTC](https://discourse.julialang.org/t/huge-thanks-to-core-devs-for-having-such-good-implimentations-of-random-linear-algebra-functions-hr/40007/1 "2020-05-23T02:24:26Z")

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As an undergrad student studying math and computer science, I have learned a lot of linear algebra. That said, I am quite far from being an expert, and have needed state of the art solutions for some fairly specific problems that on my own I would never have known how to solve. The two best examples of this are matrix exponentials of symmetric matrices, and matrix inverse square roots.  
For both of these problems, I spent a while trying to go through some of the literature or see what python did, but I eventually decided to check `LinearAlgebra` and see what it did. In the first case, it gave me a 3 line algorithm to implement in python that sped up a research problem by a factor of 3. In the second, I found a state of the art approach with pretty readable documentation.

The main point of this post is to highlight the 3 great things about Julia for this kind of exploration

1. Multiple Dispatch: This is why the specialized versions of functions exist and have discoverable names
2. `@edit` Getting files and line numbers means I only have to read the function I care about, not the entire file
3. The countless hours of work that went into implementing these algorithms in the first place.

Anyway, just wanted to say how much I appreciate all the work that’s gone into this awesome language!