Mathematics · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
SDSU MATH 693A — Adv Comp Optimization
Numerical optimization, Newton, Truncated-Newton, and Quasi-Newton methods for unconstrained optimization; with applications to nonlinear least squares, orthogonal distance regression, and nonlinear equations.
Course requirements
Prerequisites: MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course.
- MATH 340 and MATH 524 and with a grade of C (2.0) or better in each course.