Course Detail
Units:
2.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisite: MATH 2210, 2250 and 3150.
Course Attribute:
DCE
Description
Neural networks, gradient and Hessian descent, conjugate gradient, random search, simulated annealing, prejudicial search, least-squares, regression, downhill simplex, genetic algorithms, linear programming, simplex algorithm, Karmarkar algorithm, quadratic and dynamic programming, Riccati equation, Beard-Galerkin optimal control.