MSCRA_rankmin

swMATH37064MaRDI QIDQ52766

No author found.

Source code repository: https://github.com/SCUT-OptGroup/MSCRA_rankmin

Described by source

• A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery

Related Items (3)

Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints ⋮ A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications ⋮ Optimality conditions for rank-constrained matrix optimization

This page was built for software: MSCRA_rankmin