Gradient


### Derivate multi variable scalar function to vector field using [Partial Derivative](https://texonom.com/partial-derivative-e9c7ff432f1c43af8669ef0addd78cd9) 
![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F78130f9f-bc29-4ee5-9b29-6a32246a0d4d%2FUntitled.png?table=block&id=246a18b6-2d4a-4f04-bd4e-a5e6c984fd37&cache=v2)
2차일 때 등고선 개념으로 이해하면 쉽다. 그래디언트의 크기는 경사도




> [Gradient, Divergence, Curl에 대하여.](https://sillurian.tistory.com/10)

> [수학 - Divergence ,Gradient, Curl[미완]](https://m.blog.naver.com/ptm0228/221676279348)

> [Gradient](https://en.wikipedia.org/wiki/Gradient)






