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Lecture 18 Subgradients

Lecture 18 Subgradients

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<strong>Lecture</strong> <strong>18</strong><br />

• The function f(x) = max{x 2 + 2x − 3, x 2 − 2x − 3, 4}<br />

f(x) =<br />

⎧<br />

⎪⎨<br />

⎪⎩<br />

x 2 − 2x − 3<br />

for x < −1<br />

4 for x ∈ [−1, 1]<br />

x 2 + 2x − 3 for x > 1<br />

∂f(x) =<br />

⎧<br />

⎪⎨<br />

⎪⎩<br />

2x − 2 for x > 1<br />

[−4, 0]<br />

for x = −1<br />

0 for x ∈ (−1, 1)<br />

[0, 4] for x = 1<br />

2x + 2 for x > 1<br />

• The optimal set is X ∗ = [−1, 1]<br />

• For every x ∗ ∈ X ∗ , we have 0 ∈ ∂f(x ∗ )<br />

Convex Optimization 17

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