MATH285 Optimization
Credits (ECTS):10
Course responsible:Bjørn Fredrik Nielsen
Campus / Online:Taught campus Ås
Teaching language:Engelsk
Course frequency:Annually
Nominal workload:125 hours of theory (Lectures and self-study). 125 hours for discussion, exercies and exam preparation
Teaching and exam period:This course starts in the spring parallel. This course has teaching/evaluation in spring parallel.
About this course
The course gives an introduction to the field of optimization, where we will cover four main topics:
- Basic concepts - Convexity
- Lines and hyperplanes
- Taylor’s theorem
 
- Unconstrained optimization - Optimality conditions
- Search methods (Gradient methods and Newton’s method)
 
- Linear programming - Standard form
- Inequalities and slack variables
- Simplex method
- Duality
 
- Non-linear constrained optimization - Optimality conditions
- Convex optimization
- Solution algorithms
 
Learning outcome
The students are to learn the basic theory of optimization. More specifically, they are expected to:
- Explain basic concepts and results from the theory
- Solve simple problems analytically
- Recognize different types of optimization problems
- Be able to implement a set of known algorithms in order to solve optimization problems numerically
- Learning activities
- Teaching support
- Syllabus
- Prerequisites
- Recommended prerequisites
- Assessment method
- About use of AI
- Examiner scheme
- Teaching hours
- Admission requirements