Yang, Q., & Zhang, D. (2026). Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints.
Chicago Style (17th ed.) CitationYang, Qing-Mei, and Da-Qing Zhang. Adaptive Regularization Parameter Selection for High-dimensional Inverse Problems: A Bayesian Approach with Tucker Low-rank Constraints. 2026.
MLA (9th ed.) CitationYang, Qing-Mei, and Da-Qing Zhang. Adaptive Regularization Parameter Selection for High-dimensional Inverse Problems: A Bayesian Approach with Tucker Low-rank Constraints. 2026.
Warning: These citations may not always be 100% accurate.