Volume 19, Number 2, 2023
Contents

Special Issue on Theory and Algorithms for Data-Driven Optimization

Number 1  
Yong-Jin Liu and Tiqi Zhang
Sparse Hessian based semismooth Newton augmented Lagrangian algorithm for general ℓ1 trend filtering

Yun Miao, Tianru Wang and Yimin Wei
Stochastic conditioning of tensor functions based on the tensor-tensor product

Jiawang Nie, Li Wang and Zequn Zheng
Higher order correlation analysis for multi-view learning

 
Liqun Qi and Ziyan Luo
Eigenvalues and singular values of dual quaternion matrices

Andong Wang, Guoxu Zhou, Zhong Jin and Qibin Zhao
Noisy tensor completion via orientation invariant tubal nuclear norm


Xin Wang, Lingchen Kong and Liqun Wang
Numerical optimization and computation for second-order least squares estimation

Huifu Xu and Sainan Zhang
Quantitative statistical robustness in distributionally robust optimization models

Dongmei Yu and Cairong Chen
A new stability analysis on a neural network method for linear complementarity problems


 
 Number 1
 
   
   
   
   
   
   

yokohama publishers