2 papers
math.NA2026
A Two-Sided Sketching Algorithm for Low-rank Tensor Train Approximation
Gaohang Yu, Yihao Pan, Ailun Jian +1
Tensor train (TT) decomposition is a powerful method to acquire low-rank tensors. However, the computational process is frequently obstructed by the large-scale matrix singular val…
math.OC2026
Explicit Convergence Regions of PID-Damped Accelerated Gradient Methods in Nonconvex Optimization
Ailun Jian, Xun Li, Weigang Sun +1
Momentum-based accelerated gradient methods are widely adopted to expedite convergence in nonconvex optimization, but are prone to overshooting and oscillatory behavior. A class of…