MATH 378 Nonlinear Optimization

3 credits · Mathematics and Statistics · Faculty of Science · Not scheduled for 2026–2027

Optimization terminology. Convexity. First- and second-order optimality conditions for unconstrained problems. Numerical methods for unconstrained optimization: Gradient methods, Newton-type methods, conjugate gradient methods, trust-region methods. Least squares problems (linear + nonlinear). Optim…

Prerequisites

MATH 223 or MATH 247 or MATH 236 or MATH 251. MATH 248 or MATH 314 or MATH 358. MATH 243 or MATH 255. Not open to students who have taken MATH 560.

Prerequisite courses: MATH 223, MATH 236, MATH 243, MATH 247, MATH 248, MATH 251, MATH 255, MATH 314, MATH 358

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