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Course Descriptions

The curriculum of the program in the Department of Mathematics is designed to provide a broad education in both theoretical and applied mathematics. It also develops the scientific knowledge and the problem solving, computing, and communications skills that are critical to a successful mathematically based career.

MA 446 - Combinatorial Optimization

  • Credit Hours: 4R-0L-4C
  • Term Available: S (odd years)
  • Graduate Studies Eligible: Yes
  • Prerequisites: MA 276 and CSSE 220
  • Corequisites: None

An introduction to graph- and network-based optimization models, including spanning trees, network flow, and matching problems. Focus is on the development of both models for real-world applications and algorithms for their solution.

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