Multivariable Calculus · 免费预览
方向导数
函数沿任意单位方向的变化率,将其计算为与梯度的点积,以及对梯度长度和方向的解释。
1. The two coordinate directions were only the beginning
The two coordinate directions were only the beginning
2. One dot product does all directions
One dot product does all directions
3. The gradient points the way up
The gradient points the way up
4. Three variables and the same story
Three variables and the same story
5. Computing a directional derivative
For at , what is the directional derivative in the direction ?
6. The steepest direction
For at , in which unit direction does the function increase fastest, and at what rate?
7. Reading the zero directions
At a point where , in which directions is the directional derivative exactly ?
8. A gradient in three variables
For at the point , give the first component of the gradient, as a plain number.
9. Steepest descent rate
For at , give the rate of change along the direction of steepest descent, in the form -a*sqrt(b) with integers.