Design Definition and Multidisciplinary Optimization

Related lectures (31)

Page 3 of 4

Covers decision analysis, concept selection methods, non-dominance, and optimization in system design.

Covers optimization problems, minimal packing, and bounds in Integer Optimization.

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Explores motor control systems, covering algorithms, sensor integration, and practical applications in robotics and automation.

Covers the basics of environmental impact studies, including multidisciplinary approaches, project presentations, and group projects.

Covers the derivation of external energy in geometric computing and practical Python implementations.

Explores Lagrange multipliers for optimizing functions in 2 variables, emphasizing global and local extrema.

On Convex Optimization covers course organization, mathematical optimization problems, solution concepts, and optimization methods.

Explores precision positioning, DFA, DFM, and DFMA principles for efficient manufacturing.

Explores response surface design, emphasizing lack of fit analysis and quadratic models, with practical examples in Matlab.