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In this program

Modeling languages: CVX, CVXPY, or similar
Scaling to large datasets with stochastic
Distributed methods
Robust optimization and uncertainty sets
Structure exploitation
Graph patterns
Debugging infeasibility
Unboundedness in conic solvers

Implementation and case studies

Scaling to large datasets with stochastic

Convex optimization · STEM / applied

Topic

Scaling to large datasets with stochastic

Practice by unit: Implementation and case studies

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

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