ME 455
Methods of Convex Optimization in Engineering
This course benefits students using scientific computing or optimization in engineering, especially from Mechanical (robotics, control, navigation, design), Electrical (power networks, signal/image processing, communications, control, EDA & CAD), Civil (structural analysis, optimization, design), Computer Science (machine learning, robotics, graphics, algorithms, computational geometry), and Industrial Engineering (operations research). Students gain tools to identify convex optimization problems, formulate them efficiently to reduce computational complexity, and solve them thoroughly, acquiring a strong background for research applications.
Sources
- Course catalogue ↗2026-2027