# How to plot Newton's method

**URL:** <https://discourse.julialang.org/t/how-to-plot-newtons-method/51160>\
**Category:** Optimization (Mathematical)\
**Tags:** question, plotting, math\
**Created:** [December 3, 2020, 12:59am UTC](https://discourse.julialang.org/t/how-to-plot-newtons-method/51160 "2020-12-03T00:59:22Z")\
**Posts on this page:** 1\
**Showing post:** 21

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**Author:** ![mthelm85](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mthelm85/32/224164_2.png) [@mthelm85](https://discourse.julialang.org/u/mthelm85)\
**Post date:** [December 6, 2020, 10:07pm UTC](https://discourse.julialang.org/t/how-to-plot-newtons-method/51160/21 "2020-12-06T22:07:44Z")

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Don’t know if this is helpful but:

> **[GitHub - mthelm85/newton-raphson-plot](https://github.com/mthelm85/newton-raphson-plot)**
>
> Contribute to mthelm85/newton-raphson-plot development by creating an account on GitHub.

Also, see this:

> [@Visualizing Newton-Raphson](https://discourse.julialang.org/t/visualizing-newton-raphson/37164):
>
> I’ve been studying the Newton-Raphson algorithm and coded up a simple example to show some of its shortcomings with particular functions. I’m posting here simply to share with the community and, as always, I welcome feedback! First is the case where we choose a good starting point and the algorithm quickly converges to find the root: [Newton-Raphson1] Next is a case where the algorithm doesn’t converge and it just oscillates around: [Newton-Raphson2] Finally, this starting point eventually …

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