- Hands-On Mathematics for Deep Learning
- Jay Dawani
- 144字
- 2021-06-18 18:55:21
Vector fields
We define a vector field as a function , and it can only be differentiated if the following applies:

Here, is the derivative of F.
We can think of M as a matrix that maps one vector to another, and we can now express F as follows:

Here, for all
, and therefore, the derivative of F is this:

Earlier on in single and multivariable calculus, we learned the importance of the chain rule, so it should be no surprise that we have it in vector calculus as well. And it goes as follows.
Suppose we have and
and the coordinates are
,
, and
. Then, the chain rule gives us the following:

We can rewrite this in matrix form, as follows:

推薦閱讀
- 數據庫應用實戰
- 數據分析實戰:基于EXCEL和SPSS系列工具的實踐
- Mastering Ninject for Dependency Injection
- Java Data Science Cookbook
- Libgdx Cross/platform Game Development Cookbook
- 達夢數據庫性能優化
- 大數據架構和算法實現之路:電商系統的技術實戰
- 企業級數據與AI項目成功之道
- Hadoop大數據開發案例教程與項目實戰(在線實驗+在線自測)
- Access數據庫開發從入門到精通
- The Natural Language Processing Workshop
- Access 2010數據庫程序設計實踐教程
- Oracle 內核技術揭密
- NoSQL數據庫原理(第2版·微課版)
- Python金融數據挖掘與分析實戰