INF-MAT4370 – Linear optimization
Course description
Course content
Introduction to linear optimization (linear programming). Basic theory, methods and applications. The simplex algorithm. Duality theory. Linear systems of inequalities. Linear network optimization.
Learning outcome
To give students an introduction to the area of linear optimization. The student will learn advanced theory and computational tools useful in many areas of applied mathematics, engineering and economics.
Admission
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Prerequisites
Recommended previous knowledge
Basic courses in introductory programming, calculus, and linear algebra.
MAT1100 – Calculus /MAT 100, MAT1110 – Calculus and Linear Algebra /MAT 110, MAT1120 – Linear Algebra /MAT 120 and MAT-INF1100 – Modelling and Computations (discontinued) /MAT 100.
Overlapping courses
10 credits INF-MAT3370 – Linear optimization (discontinued) and 9 credits MoD 233
Teaching
2 hours of lectures and 2 hours of problem solving sessions each week. Compulsory programming/problem solving exercises
Examination
3 hour written final examination. Graded A - F.
Other
Note that the first lecture is mandatory. The subject is regarded equal to INF-MAT3370 – Linear optimization (discontinued) and MoD 233 when practicing exam regulations.
Course Auditor: Trond Steihaug