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math.OC2026
Globally Convergent Block Coordinate Descent Algorithms for Semi-Nonnegative Independent Component Analysis
Zhenyu Cai, Wentao Ding, Jianze Li +1
We propose a subgradient-based block coordinate descent (BCD-SubG) framework for nonconvex optimization over products of probability simplices and a closed feasible set, motivated…
math.OC2024
Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds
Wentao Ding, Jianze Li, Shuzhong Zhang
In this paper, we study the optimization problem on a compact matrix manifold. While existing feasible algorithms can be broadly categorized into retraction-based and projection-ba…