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EasyOptimizationop-351

Subgradient Absolute Value Step

Problem

For f(x) = |x|, a subgradient at x is sign(x) with 0 chosen at the kink. One subgradient step is x_new = x - lr * sign(x).

Given x and lr, return x_new.

Hint

The kink is already a minimum, so it stays put.

Test cases

case 1
in: [2,0.5]
expected: 1.5
case 2
in: [-1,2]
expected: 1
case 3
in: [0,1]
expected: 0
Starter codePython
def subgradient_absolute_value_step(x, lr):
    # Your code here
    pass

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