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01:640:354 - Linear Optimization

General Information (Catalog Listing)

01:640:354 Linear Optimization(3)
Linear programming problems, the simplex method, duality theory, sensitivity analysis, introduction to integer programming, the transportation problem, network flows, and other applications.
Prerequisite: 01:640:250. Credit not given for both this course and 01:640:453 or 01:711:453.

Catalog Description:

 

Textbook

Bernard Kolman and Robert E. Beck, Elementary Linear Pro-gramming with Applications, Second Edition, published by Aca- demic Press, 1995. (ISBN 0-12-417910-X)

Syllabus

Sample Syllabus from Spring 2006

Office Hours

The TA's for this course will host online office hours on the website Discourse Technologies.

Previous semesters:

Spring:2009200820072006
  Sec 01. T. Butler
Sec. 02 S. Bora
Sec. 03 I. Zverovich
Sec. 05 M. Naumova

Sec. 01. M. Subasi
Sec. 03. D. Papp
Sec. 04. Prof. Vogelius
Sec. 05. Prof. Vogelius
Sec. 07. V. Gurvich
Sec. 01: M. Milanic

Sec 03
: M. Kaminski
Sec. 04: Prof. Vogelius
Sec. 07: D. Andrade
Sec. 3 Prof. Vogelius
Sec. 4 Prof. Lyons.
– Prof. Lyons' pages contain useful supplementary notes.

Sections Taught This Semester:

Linear Optimization (01: 640: 354, Summer 2017 )

Linear Optimization (section H6)
Index Number: 00747
Credits: 3
Professor: SEMONSEN
Schedule:
  • [L] Mon 8:00AM-10:00AM SEC-211 (BUS)
  • [L] Tue 8:00AM-10:00AM SEC-211 (BUS)
  • [L] Wed 8:00AM-10:00AM SEC-211 (BUS)
  • [L] Thu 8:00AM-10:00AM SEC-211 (BUS)

Disclaimer: Posted for informational purposes only

This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.

Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.

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Department of Mathematics

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