ME4731: Engineering Design Optimization - NPS Online
Engineering Design Optimization
Course #ME4731
Est.imated Completion Time: 3 months
POC: NPS Online Support
Overview
Application of automated numerical optimization techniques to design of engineering systems. Algorithms for solution of nonlinear constrained design problems. Familiarization with available design optimization programs. State-of-the-art applications. Solution of a variety of design problems in mechanical engineering, using numerical optimization techniques.
Included in degrees & certificates
- 122
- 571
Prerequisites
- ME2601
Learning Outcomes
At the completion of the course students will be able to:
- Formulate an engineering design problem as an optimization. problem, identifying design variables, constraints and objective functions.
- Calculate the gradient and Hessian matrices for single- and multi-variable functions.
- Use the gradient and Hessian matrices in optimality criteria to identify stationary points and optimal points.
- Write a single-variable (line search) unconstrained search program.
- Construct search directions using basic optimization algorithms, including Cauchy’s method, Newton’s method, conjugate direction method, Powells Method.
- Write a multi-variable, unconstrained optimization program.
- Solve linear and nonlinear optimization problems using a commercial optimizer.
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