MATH 398 - Optimization

An introduction to methods for optimization in the context of modeling decision problems with constraints. Applications in medicine, finance, manufacturing are among those where constrained optimization techniques inform the efficiency of operating processes. Topics include: linear and nonlinear programming, simplex method, duality theory, dynamic programming, and incorporating uncertainty.

Credits 4

Notes
From time to time, departments design a new course to be offered either on a one-time basis or an experimental basis before deciding whether to make it a regular part of the curriculum. Last offered Spring 2022.