This course is organized by the Graduate school at the Center for
Interdisciplinary Mathematics (CIM)
If you intend to participate in the course, please send an email to maya.neytcheva@it.uu.se. Thank you.
Module 2: Lecture 1 Lecture 2 Lecture 3 Lecture 4 Assignment Dropbox link
Module 3: Dropbox link
Date | Topic(s) | Time | Location |
Lecturer |
---|---|---|---|---|
Sep 18 | Lecture 1: Introduction to and motivation behind black-box optimization, real-world applications, simulation-based design, parameter-tuning, evolutionary optimization | 10:00-12:00 | 2244 |
PS |
Sep 21 | Lecture 2: 'Model-driven optimization: Bayesian optimization and surrogate modelling | 10:15-12:00 | 2345 |
PS |
Sep 26 | Lecture 3: Multi-objective and constrained optimization | 10:15-12:00 | 2344 |
PS |
Oct 3 | Seminar: Presentation of projects and discussions | 13:15-15:00 | 2344 |
PS |
Oct 11 | Lecture 1: Introduction to optimization problems, constrained by PDEs. Problem formulation, general theory. The method of Lagrange Multipliers. | 10:00-12:00 | 2247 |
MN |
Oct 12 | Lecture 2: Solution approaches for OPT-PDE paroblems. Model problems. Optimality conditions, the KKT system. Discretization strategies. | 10:15-12:00 | 2345 |
MN |
Oct 19 | Lecture 3: Model problems, continued. Time-dependent constraints: general case, time-periodic constraints | 10:15-12:00 | 1213 |
MN |
Oct 20 | Lecture 4: Box constraints and non-smooth Newton method. Solving large scale OPT-PDE problems - VERY brief on accellerated iterative solution methods. Discussion on project work | 10:15-12:00 | 2344 |
MN |
Nov 14 | Introduction to the adjoint method (the continuous case) | 10:00-12:00 | 2344 |
KM |
Nov 16 | The adjoint method (the semi-discrete case) | 10:15-12:00 | 2344 |
KM |
Nov 28 | Presentation of projects | 10:15-12:00 | 2344 |
KM |
Recommended books:
Organization issues:
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