SYEN 4342 - Linear Program and Network Flows

Three hours lecture. Three credit hours.

This course covers salient linear optimization topics, including computational issues such as decomposition, LU factorization, and network flow. Of equal interest is the equivalence between the network flow paradigm and discrete optimization of a model and its solution algorithms. The relationship between the network flow paradigm and discrete optimization is also emphasized. Software libraries are available to solve linear optimization models. Dual listed in the Graduate Catalog as SYEN 5342.

Prerequisites: SYEN 3312 or equivalent, or Consent of instructor.