OR7245 — Network Analysis and Advanced Optimization: Reviews & Ratings

OR7245 (Network Analysis and Advanced Optimization) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.

Considers concepts of advanced linear programming and network flows. Includes theory of the simplex method, the revised simplex algorithm using LU factorization, and simplex for bounded variables and primal-dual methods; methods for solving large-scale models such as Danzig-Wolfe decomposition, Bender’s partitioning, Lagrangian relaxation, and subgradient optimization; computational complexity and Karmarkar’s algorithm; minimum cost network flows, network simplex, and generalized and multicommodity network flow problems; and special types of network problems including the traveling salesman, routing, network location, and reliability problems.

Last taught
Spring 2026
Credits
4 Hours
Prerequisites
OR 6205 with a minimum grade of C

Data updated October 2026.

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