Introduction to optimization and operations research
Summary
Introduction to major operations research models and optimization algorithms
Content
introduction to the course
Linear optimization - introduction
The simplex algorithm
Duality
Networks
Transhipment
Shortest path
Integer optimization - Branch and bound.
Unconstrained non linear optimization.
Learning Prerequisites
Required courses
Linear algebra
Analysis
Teaching methods
The course is a combination of ex-cathedra lectures, interactive sesssions and exercices.
Interactive sessions allow the student to verify if the main concepts have been well understood.
Assessment methods
Written exam
Resources
Virtual desktop infrastructure (VDI)
No
Bibliography
Bierlaire (2015) Optimization: principles and algorithms, EPFL Press
http://optimizationprinciplesalgorithms.com
Ressources en bibliothèque
Moodle Link
Prerequisite for
In the programs
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: mandatory
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Introduction to optimization and operations research
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Type: optional