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(i) {α - Convex Optimization

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FB to solve Problem (P τ )<br />

Theorem 1 Let {µ t ,t ∈ N} be a sequence such that 0 < inf t µ t ≤ sup t µ t <<br />

2/ ‖HΦ‖ 2 , let {β t ,t∈ N} be a sequence in (0, 1], and let {a t ,t∈ N} and {b t ,t∈ N}<br />

be sequences in H such that ∑ t ‖a t‖ < +∞ and ∑ t ‖b t‖ < +∞. Fix α 0 , and<br />

define the sequence of iterates:<br />

α t+1 = α t + β t<br />

(<br />

proj BΨ,τ<br />

(<br />

α t + µ t<br />

(<br />

Φ ∗ H ∗ ( y − HΦα t)) − b t<br />

)<br />

+ at − α (t))<br />

where proj BΨ,τ<br />

is the projector onto the Ψ-ball of radius τ.<br />

(i) {α (t) ,t≥ 0} converges weakly to a minimizer of (P λ ).<br />

(ii) For Ψ(α) =‖α‖ l1<br />

, there exists a subsequence {α (t) ,t ≥ 0} that converges<br />

strongly to a minimizer of (P λ ).<br />

(iii) The projection operator proj BΨ,τ<br />

is<br />

⎧<br />

⎨α if Ψ (α) ≤ τ,<br />

proj BΨ,τ<br />

(α) =<br />

⎩prox κΨ α otherwise.<br />

,<br />

where κ (depending on α and τ) is chosen such that Ψ (prox κΨ (α)) = τ.<br />

Stanford seminar 08-16

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