2 papers
math.OC2026
New Bounds for Exact Penalized Cardinality-Constrained Optimization with Pseudonormality Conditions
Lili Pan, Huilin Xie, Xianchao Xiu +1
Cardinality-constrained optimization (CCO) is a popular topic in sparse learning and signal recovery, yet remains challenging due to the inherent nonconvexity and discontinuity of…
math.OC2026
0/1 Constrained Optimization Solving Sample Average Approximation for Chance Constrained Programming
Shenglong Zhou, Lili Pan, Naihua Xiu +1
Sample average approximation (SAA) is a tractable approach for dealing with chance constrained programming, a challenging stochastic optimization problem. The constraint of SAA is…