Multivariable Calculus · Multivariable Differentiation
Gradients — Practice Problems and Worked Solutions
Find the direction of steepest increase.
The formulas you need here
Gradient
- What it says
- The direction of steepest increase, with length equal to that steepest rate.
- When to reach for it
- Optimisation, normal vectors to level surfaces, and every directional derivative.
- Watch out
- The gradient is a vector, and it is perpendicular to the level curve, not tangent to it.
It points radially outward — straight uphill on a bowl.
18 worked problems
Every step is generated and checked by a computer algebra system.
- 1.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 2.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 3.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 4.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 5.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 6.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 7.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 8.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 9.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 10.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 11.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 12.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 13.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 14.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 15.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 16.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 17.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution
- 18.
Evaluate the gradient at the given point.
Answer:
Step-by-step solution