EECS 260
Optimization
University of California, Merced · UGRD · Fall 2026
1 section
Catalog description
Introduction of theory and numerical methods for continuous multivariate optimization (unconstrained and constrained), including: line-search and trust-region strategies; conjugate-gradient, Newton, quasi-Newton and large-scale methods; linear programming; quadratic programming; penalty and augmented Lagrangian methods; sequential quadratic programming; and interior-point methods.
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #california_merced-0780Fall 2026UGRD4 credits
- Days & times
- No scheduled meeting time
- Meeting dates
- —
- Location
- —
- Instructor
- Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?