Randomized tensor decomposition and optimization in the tucker and tensor train formats

Journal of Computational and Applied Mathematics 2026

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Authors: Wenqi Lu, Hongmei Lin, Heng Lian

DOI: 10.1016/j.cam.2026.117344

Cited by: 0

References: 14

Fields of Study & Subjects

Tensor decomposition and applications Sparse and Compressive Sensing Techniques Stochastic Gradient Optimization Techniques

References 14