MATH 319 Optimization

Modeling and design within a formal optimization environment. Mathematical formulation of optimization problems including decision space parametrization, objective function selection, and constraint definition. Survey of algorithms for unconstrained and constrained optimization; techniques for solving multi-disciplinary and multi-objective problems. Applications to problems in mathematics, physics, and engineering. Credit will not be allowed for both MATH 319 and ENGR 419. Offered odd years.

Credits

4

Cross Listed Courses

ENGR 419

Prerequisite

MATH 283, MATH 289, CPTR 141, and PHYS 253 or permission of instructor

Distribution

Mathematics