INF-MAT4370 – Linear optimization
Schedule, syllabus and examination date
Introduction to linear optimization (linear programming). Basic theory, methods and applications. The simplex algorithm. Duality theory. Linear systems of inequalities. Linear network optimization.
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.
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