Course Syllabus for

Large-scale Convex Optimization
Storskalig konvex optimering

FRT225F, 7.5 credits

Valid from: Autumn 2020
Decided by: Professor Thomas Johansson
Date of establishment: 2020-11-13

General Information

Division: Automatic Control
Course type: Third-cycle course
Teaching language: English


The goal of the course is to give students the tools and training to recognize convex optimization problems that arise in applications. We present the basic theory of such problems, concentrating on results that are useful in algorithms for numerically solving the problems. The course will give the students a thorough understanding of how such problems are solved and give them experience in solving them, with the aim of giving the students the background required to use the methods in their own research.


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Course Literature

Material developed by teacher.

Instruction Details

Types of instruction: Lectures, exercises

Examination Details

Examination formats: Written exam, oral exam, written assignments. Written or oral exam and written assignments during course.
Grading scale: Failed, pass

Admission Details

Course Occasion Information

Contact and Other Information

Course coordinators:

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