|Module code||MOO 420|
|Faculty||Faculty of Engineering, Built Environment and Information Technology|
Elements of optimisation, optimization problem identification and classification, optimisation formulations for physics-based models, model identification, data-driven models, optimisation background mathematics, loss functions, regularisation, constrained and unconstrained real-parameter optimisation. Optimisation solution philosophies: minimisation, optimality criteria, non-negative gradient projection points. Optimisation algorithms: gradient-based, derivative-free, gradient-only. Compute using a high-level programming language.
|Contact time||1 practical per week, 3 lectures per week|
|Language of tuition||Module is presented in English|
|Department||Mechanical and Aeronautical Engineering|
|Period of presentation||Semester 2|
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