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In this program

Sparse recovery
Compressed sensing (L1 methods)
Portfolio optimization
Risk constraints
Control: LQR and model predictive control (convex formulations)
Signal processing
Denoising
Machine learning
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Applications in science and engineering

Compressed sensing (L1 methods)

Convex optimization · STEM / applied

Topic

Compressed sensing (L1 methods)

Practice by unit: Applications in science and engineering

Graduate Convex Optimization — scope drawn from Boyd & Vandenberghe Convex Optimization (free PDF) and typical US graduate convex optimization syllabi.

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