Schedule, syllabus and examination date

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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.


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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 /MAT 100.

Overlapping courses

10 credits INF-MAT3370 – Linear optimization (discontinued) and 9 credits MoD 233


2 hours of lectures and 2 hours of problem solving sessions each week. Compulsory programming/problem solving exercises


3 hour written final examination. Graded A - F.


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

Facts about this course




Spring 2007

Spring 2006

Spring 2005

Spring 2004

This version of the subject will be held for the last time Spring 2007. INF-MAT3370 – Linear optimization (discontinued) will be still be held.


Every spring

Teaching language

Norwegian (English on request)