Max Directional Derivative

Problem

The maximum possible directional derivative of a scalar field at a point equals the norm of its gradient, attained in the direction of the gradient.

Given the gradient vector grad, return ||grad||.

Hint

This is the steepest ascent rate; take the Euclidean length of the gradient.

case 1

in: [[3,4]]

expected: 5

case 2

in: [[0,0]]

expected: 0

case 3

in: [[1,2,2]]

expected: 3

case 4

in: [[-5,12]]

expected: 13

case 5

in: [[1]]

expected: 1

Starter codePython

def max_directional_derivative(grad):
    # Your code here
    pass

5 test cases · run your code against them in the editor