ELEN E6876
Sparse and Low-Dimensional Models for High-Dimensional Data
Columbia University in the City of New York · UGRD · Fall 2026
1 section
Catalog description
Recommended: ELEN E4810 or equivalent. Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data
Sections
Current meeting, instructor, credit, and enrollment details
001
Availability not recently verifiedClass #columbia_in_city_new_york-ELENE6876Fall 2026UGRD3.00 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?