Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MAT

Course MAT-14-13-K-3

Linear and Network Programming (4V+2U, 9.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 9.0 CP 186 h
4 V Lecture 56 h
2 U Exercise class (in small groups) 28 h
(4V+2U) 9.0 CP 84 h 186 h

Basedata

SWS 4V+2U
CP, Effort 9.0 CP = 270 h
Position of the semester 1 Sem. in SuSe
Level [3] Bachelor (Core)
Language [DE] German
Lecturers
Kämmerer, Florentine, Dr. (WMA | DEPT: MAT)
Krumke, Sven Oliver, Prof. Dr. (PROF | DEPT: MAT)
Ruzika, Stefan, Prof. Dr. (PROF | DEPT: MAT)
Schöbel, Anita, Prof. Dr. (PROF | DEPT: MAT)
+ further Lecturers of the department Mathematics
Area of study [MAT-GRU] Mathematics (B.Sc. year 1 and 2)
Additional informations
Livecycle-State [NORM] Active

Notice

The course is accompanied by a programming lab course: [MAT-14-13P-K-3]

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Examination number (Study achievement): 83230 ("Exercise Class Linear and Network Optimization")
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

  • simplex method,
  • linear programs in standard form,
  • fundamental theorem of linear optimization,
  • degeneracy,
  • variants of the simplex method,
  • duality theorem and complementary slackness,
  • interior point methods,
  • basic concepts of graph theory,
  • minimal spanning trees,
  • shortest path problems,
  • maximum flows,
  • minimum-cost flows.

Competencies / intended learning achievements

The students know the basic methods and algorithms for the treatment of linear optimization problems and optimization problems on networks. They are able to translate simple practical problems into the language of mathematics and to develop solution methods using the modeling techniques of mathematical optimization.

Literature

  • H.W. Hamacher, K. Klamroth: Lineare und Netzwerkoptimierung - Linear and Network Optimization (ein bilinguales Lehrbuch),
  • M.S. Bazaraa, J.J. Jarvis, H.D. Sherali: Linear Programming and Network Flows, 2nd edition,
  • V. Chvátal: Linear Programming,
  • S.O. Krumke, H. Noltemeier: Graphentheoretische Konzepte und Anwendungen.

Materials

Further literature will be announced in the lecture(s); exercise material is provided. Lecture recordings available at https://videoportal.uni-kl.de/

Registration

Registration for the exercise classes via the online administration system URM (https://urm.mathematik.uni-kl.de).

Requirements for attendance (informal)

Modules:

Requirements for attendance (formal)

None

References to Course [MAT-14-13-K-3]

Module Name Context
[MAT-14-00_ERW-M-3] Mathematics as a Potential for Solving Problems A: Modelling and Applied Mathematics WP: Obligation to choose in Obligatory-Modulteil #B (Praktische Mathematik) 4V+2U, 9.0 LP
[MAT-14-10L-M-3] Topic Module B: Mathematics as an Interdisciplinary Cross-Sectional Science WP: Obligation to choose 4V+2U, 9.0 LP
[MAT-14-13-M-3] Linear and Network Programming P: Obligatory 4V+2U, 9.0 LP
Course-Pool Name
[MAT-14-KPOOL-3] Practical Mathematics (B.Sc. Mathematics)