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About course

SF1851 Optimization 6.0 credits

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Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus SF1851 (Autumn 2008–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Examples of applications and modelling training.

Basic concepts and theory for optimization, in particular theory for convex problems.

Some linear algebra in R^n, in particular bases for the four fundamental subspaces corresponding to a given matrix, and LDLT-factorization of a symmetric definite matrix.

Linear optimization, including duality theory.

Optimization of flows in networks.

Quadratic optimization with linear constraints.

Linear least squares problems, in particular minimum norm solutions.

Unconstrained nonlinear optimization, in particular nonlinear least squares problems.

Optimality conditions for constrained nonlinear optimization, in particular for convex problems.

Intended learning outcomes

The overall purpose of the course is that the student should be acquainted with basic concepts, theory, models and solution methods for optimization. Further, the student should get strengthen skills in linear algebra, and get basic skills in modelling and computer based solving of various applied optimization problems.

Literature and preparations

Specific prerequisites

SF1608, SF1609, 5B1117 Calculus and linear algebra.

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

Linear and Nonlinear Programming by Nash and Sofer, McGraw-Hill, and some lecture notes in Swedish.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • HEM1 - Assignments, 1.5 credits, grading scale: P, F
  • TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

A written exam and home assignments.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Mathematics, Technology

Education cycle

First cycle

Add-on studies

SF2812, SF2822.