Design Optimization

Education facts

Code: MSAD30

- Size and topology optimization, design and state variables, objective function, design constraints - Basics of convex programming - Gradient-based optimization, steepest descent, Newton’s method, linear and quadratic programming (LP & QP), interior point methods, sequential LP & QP, convex linearization (ConLin), method of moving asymptotes (MMA) - Multi-objective design optimization, Pareto front, worst-case optimization - Practical consideration for topology optimization of industrial-scale problems

Entry requirements

Finite Element Methods, 7.5 ECTS credits, Solid Mechanics, 7.5 ECTS credits, plus upper secondary level English 6, or equivalent

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Design Optimization

  Karlstad University

  Karlstad

  Start date: 18 January 2027

  End date: 28 March 2027

  Pace of study: 50 %