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Vår 2015
MAT-2202 Optimization Models - 10 stp
The course is administrated by
Type of course
Course contents
Application deadline
Admission requirements
MAT-1002 Calkulus 2, MAT-1004 Linear algebra and MAT-2200 Differential Equations, or equuivalent.
Application code 9336.
Objective of the course
- obtain solid understanding of linear programming models, the elementary part of their theory and the simplex method for solving them
- know some other types of (non-linear) optimization models, and methods used to solve them
- be able to model problems in business, economics and the natural sciences as maximum or minimum problems
- be able to solve optimization models on a computer
Language of instruction
Teaching methods
Coursework: 30 h
Assessment
Written final exam of 4 hours duration, counting 100 %.
Assessment scale: Letter grades A-F.
Re-sit examination:
Students having failed the last ordinary examination are offered a re-sit examination early in the following semester, if the course is compulsory in their study programme.
Postponed examination:
Students with valid grounds for absence will be offered a postponed examination early in the following semester.
Ordinary examination in the teaching free semester (early exam):
A new ordinary examination will be arranged provided that it already will be given a postponed or a re-sit exam for the course.
- Utfyllende bestemmelser for eksamener ved Fakultet for naturvitenskap og teknologi (only in Norwegian)
- Regulations for examinations at the University of Tromsø
Coursework requirements
A passing grade is required on the mandatory homework sets for permission to take the exam.
Date for examination
The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.
Recommended reading/syllabus
Syllabus for MAT-2202 Optimization Models, spring 2015
UiT The Arctic University of Norway, Department of Mathematics and Statistics
Sections
2.2-3, 2.7, 3.1, 4.1-4, 5.2, 6.1-2, 11.2-6 , 12.2-3 and 13.5 from
Linear and Nonlinear Optimization,
Second edition, by Igor Griva, Stephen G. Nash and Ariela
Sofer. All subsections of sections in the syllabus are also in the syllabus. In
chapters 11, 12 and 13 all proofs are omitted. All other proofs are included in the syllabus, and are
required known.
Sections 1-4 and 10 of chapter 14 in
Mathematics and Technology
by C. Rousseau and Y. Saint-
Aubin. This covers most of our small syllabus in the calculus of variations.
The Supplementary Notes that will be distributed also form part of the syllabus