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An advanced course on optimizing linear and nonlinear functions, spanning linear programming and the simplex method through Lagrange multipliers and Kuhn-Tucker conditions. Students practice formulating and solving transportation, assignment, and network problems, and study constrained optima, the calculus of variations, and Euler's equation.
- Level
- Graduate
- Department
- Math
- Credits
- 4
- Prerequisites
- MA 225 & MA 242
Last verified: August 22, 2026
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