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math.OC2026
Sparse Recovery via Minimization
Lang Yu, Nan-jing Huang
The weighted difference of squared norms (WDSN) penalty with has attracted considerable attention due to its strong sparsity-promoting ability…
math.OC2026
Sparse Recovery via Ratio Minimization: Theory and Algorithm
Lang Yu, Nan-jing Huang
The constrained ratio model is scale invariant and is therefore attractive for sparse signal recovery. However, its nonconvex, nonsmooth, and fractional structu…
math.OC2025
Difference-of-Convex Elastic Net for Compressed Sensing
Lang Yu, Nanjing Huang
This work proposes a novel and unified sparse recovery framework, termed the difference of convex Elastic Net (DCEN). This framework effectively balances strong sparsity promotion…