Strong models and valid inequalities. Extended formulations. Cutting plane and column generation algorithms. Decomposition approaches in deterministic and stochastic optimization. Applications in production planning, network design and logistics.
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Course Learning Outcomes: Course Learning Outcome Assessment
Introduction & Large-scale optimization examples Revised simplex & Column Generation Dantzig-Wolfe decomposition Dantzig-Wolfe decomposition Lagrangian relaxation Lagrangian decomposition Bender's decomposition Two-stage stochastic programming Robust Optimization Other topics: valid inequalities, extended formulations Other topics: heuristics Recent advances in optimization (Mini lectures by grad students) Recent advances in optimization (Mini lectures by grad students) Recent advances in optimization (Mini lectures by grad students) ECTS - Workload Table: Activities Number Hours Workload Individual or group work 14 1 14 Final exam 1 3 3 Midterm exam 2 3 6 Report (including preparation and presentation if applicable) 2 10 20 Course hours 14 3 42 Project (including preparation and presentation if applicable) 1 25 25 Preparation for Final exam 1 15 15 Preparation for Midterm exam 2 15 30 Total Workload: 155 Total Workload / 30: 155 / 30 5.17 ECTS Credits of the Course: 5 Type of Course: Lecture