Engineering Optimization

The course deals with theory and algorithms for optimization of nonlinear problems, something that is common in a number of applications. The course deals with problem formulations both with and without non-linear constraints, which gives a great freedom in how problems can be formulated and solved. Together, this gives the students access to very powerful tools for solving many important problems. The course deals with various optimization efforts and algorithms, theory of nonlinear problems, conditions for optimum, convergence rate, sensitivity analysis and least-square problems. Furthermore, the course deals with how these skills are used in two or three selected applications, such as geometric measurement problems and design optimization. Skills training and increased understanding are acquired through computer assignments. The course consists of two parts: - Part 1, theory, 4.5 credits - Part 2, problem solving, 3 credits