Tensor Conjugate-Gradient methods for tensor linear discrete ill-posed problems
This paper presents three types of tensor Conjugate-Gradient (tCG) methods for solving large-scale linear discrete ill-posed problems based on the t-product between third-order tensors. An automatic determination strategy of a suitable regularization parameter is proposed for the tCG method in the F...
Main Authors: | Hong-Mei Song, Shi-Wei Wang, Guang-Xin Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-09-01
|
Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20231371?viewType=HTML |
Similar Items
-
Tensor Conjugate Gradient Methods with Automatically Determination of Regularization Parameters for Ill-Posed Problems with t-Product
by: Shi-Wei Wang, et al.
Published: (2024-01-01) -
Identification of source term for the ill-posed Rayleigh–Stokes problem by Tikhonov regularization method
by: Tran Thanh Binh, et al.
Published: (2019-08-01) -
On a modification of the Hamming method for summing discrete Fourier series and its application to solve the problem of correction of thermographic images
by: Evgeniy B. Laneev, et al.
Published: (2022-12-01) -
Fractional Regularized Distorted Born Iterative Method for Permittivity Reconstruction
by: A. D. Magdum, et al.
Published: (2022-04-01) -
Convergence Rate of Runge-Kutta-Type Regularization for Nonlinear Ill-Posed Problems under Logarithmic Source Condition
by: Pornsarp Pornsawad, et al.
Published: (2021-05-01)