[1] Bader, B.W. and Kolda, T.G. Efficient MATLAB computations with sparse and factored tensors, SIAM J. Sci. Comput. 30(1) (2007), 205–231.
[2] Bader, B.W. and Kolda, G.T. Tensor Toolbox for MATLAB, Version 3.6, Available online at https://ww.tensortoolbox.org., 2023. [3] Ballani, J. and Grasedyck, L. A projection method to solve linear systems in tensor form, Numer. Linear Algebra Appl. 20 (2013), 27–43.
[4] Behera, R. and Mishra, D. Further results on generalized inverses of tensors via the Einstein product, Linear Multilinear Algebra. 65 (2017), 1662–1682.
[5] Beik, F.P.A. and Ahmadi-Asl, S. Residual norm steepest descent based iterative algorithms for Sylvester tensor equations, J. Math. Model. 2 (2015), 115–131.
[6] Beik, F.P.A., Movahed, F.S. and Ahmadi-Asl, S. On the krylov subspace methods based on the tensor format for positive definite sylvester tensor equations, Numer. Linear Algebra. Appl. 23 (2016), 444–466.
[7] Brazell, M., Li, N., Navasca, C. and Tamon, C. Solving multilinear sys-tems via tensor inversion, SIAM J. Matrix Anal. Appl. 34 (2013), 542–570.
[8] Brown, P.N. and Hindmarsh, A.C. Reduced storage methods in sti ODE systems, Appl. Math. Comput. 31 (1989), 40.
[9] Chen, Z. and Lu, L.Z. A projection method and Kronecker product pre-condetioner for solving Sylvester tensor equations, Science China 55 (2012), 1281–1292.
[10] Dehdezi, E.K. Iterative methods for solving Sylvester transpose-tensor equation A ⋆N X ⋆M B + C ⋆M X T ⋆N D = E, Operations Research Forum. 2 (2021), 64.
[11] Dehdezi, E.K. and Karimi, S. Extended conjugate gradient squared and conjugate residual squared methods for solving the generalized coupled Sylvester tensor equations, T. I. Meas. Control. 43 (2021), 519–527.
[12] Dehdezi, E.K. and Karimi, S. A gradient based iterative method and asso-ciated preconditioning technique for solving the large multilinear systems, Calcolo. 58 (2021), 51.
[13] Ding, F. and Chen. T. Gradient based iterative algorithms for solving a class of matrix equations, IEEE Trans Autom Control. 50 (2005), 1216–1221.
[14] Ding, F. and Chen, T. Iterative least squares solutions of coupled Sylvester matrix equations, Syst. Control Lett. 54 (2005), 95–107.
[15] Ding, W. and Wei, Y. Solving multi-linear system with M-tensors, J Sci Comput. 68 (2016), 689–715.
[16] Erfanifar, R. and Hajarian, M. Several efficient iterative algorithms for solving nonlinear tensor equation X +AT ⋆M X −1 ⋆N A = I with Einstein product, Comput. Appl. Math. 43 (2024), 84.
[17] Graham, A. Kronecker products and matrix calculus: with applications, Courier Dover Publications, 2018.
[18] Guennouni, A.E., Jbilou, K. and Riquet, A.J. Block Krylov subspace methods for solving large Sylvester equations, Numeric. Algorithms. 29 (2002), 75–96.
[19] Grasedyck, L. Existence and computation of low Kronecker-rank approx-imations for large linear systems of tensor product structure, Computing. 72 (2004), 247–265.
[20] Heyouni, M., Movahed, F.S. and Tajaddini, A. A tensor format for the generalized hessenberg method for solving sylvester tensor equations, J. Comput. Appl. Math. 377 (2020), 112878.
[21] Huang, B. and Ma, C. Global least squares methods based on tensor form to solve a class of generalized Sylvester tensor equations, Appl. Math. and Comput. 369 (2020), 124892.
[22] Huang, B. and Ma, C. An iterative algorithm to solve the generalized Sylvester tensor equations, Linear Multilinear Algebra. 68(6) (2020), 1175–1200.
[23] Huang, B., Xie, Y. and Ma, C. Krylov subspace methods to solve a class of tensor equations via the Einstein product, Numer. Linear Algebra Appl. 40(4) (2019), e2254.
[24] Jia, Z. On IGMRES(q), incomplete generalized minimal residual methods for large unsymmetric linear systems, Technical Report 94-047, Depart-ment of Mathematics, University of Bielefeld, Sonderforschungsbereich 343, 1994. Last revision March, 1995.
[25] Kolda, T.G. and Bader, B.W. Tensor decompositions and applications, SIAM Rev. 51 (2009), 455–500.
[26] Lai, W.M., Rubin, D. and Krempl, E. Introduction to continuum me-chanics, Oxford: Butterworth Heinemann, 2009.
[27] Li, B.W., Sun, Y.S. and Zhang, D.W. Chebyshev collocation spectral methods for coupled radiation and conduction in a concentric spherical participating medium, ASME J Heat Transfer. 131 (2009), 062701–62709.
[28] Li, B.W., Tian, S., Sun, Y.S. and Hu, Z.M. Schur-decomposition for 3D matrix equations and its application in solving radiative discrete ordinates equations discretized by Chebyshev collocation spectral method, J. Comput. Phys. 229 (2010), 1198–1212.
[29] Li, T., Wang, Q.-W. and Zhang, X.-F. A Modified Conjugate Residual Method and Nearest Kronecker Product Preconditioner for the General-ized Coupled Sylvester Tensor Equations, Mathematics. 10 (2022), 1730.
[30] Liang, L., Zheng, B. and Zhao, R.J. Tensor inversion and its applica-tion to the tensor equations with Einstein product, Linear Multilinear Algebra. 67 (2018), 843–870.
[31] Malek, A. and Masuleh, S.H.M. Mixed collocation-finite difference method for 3D microscopic heat transport problems, J. Comput. Appl. Math. 217 (2008), 137–147.
[32] Malek, A., Bojdi, Z.K. and Golbarg, P.N.N. Solving fully three-dimensional microscale dual phase lag problem using mixed-collocation finite difference discretization, J. Heat Transfer. 134 (2012), 0945041–0945046.
[33] Masuleh, S.H.M. and Phillips, T.N. Viscoelastic flow in an undulating tube using spectral methods, Computers & Fluids 33 (2004), 10751095. [34] Qi, L. and Luo, Z. Tensor analysis: Spectral theory and special tensors, SIAM, Philadelphia, 2017.
[35] Saad, Y. Iterative methods for sparse linear systems, PWS press, New York, 1995.
[36] Saad, Y. and Wu, K. DQGMRES: a direct quasi-minimal residual algo-rithm based on incomplete orthogonalization, Numeric. Linear Algebra Appl. 3(4) (1996), 329–343.
[37] Shi, X., Wei, Y. and Ling, S. Backward error and perturbation bounds for high order Sylvester tensor equation, Linear Multilinear Algebra. 61 (2013), 1436–1446.
[38] Sun, L., Zheng, B., Bu, C. and Wei, Y. Moore-Penrose inverse of tensors via Einstein product, Linear Multilinear Algebra. 64 (2016), 686–698.
[39] Tzou, D.V. Macro to Micro Heat Transfer, Taylor & Francis: Washing-ton, 1996.
[40] Wang, Q.W. and Wang, X. A system of coupled two-sided sylvester-type tensor equations over the quaternion algebra, Taiwanese J. Math. 24 (2020), 1399–1416.
[41] Wang, Q.W. and Xu, X. Iterative algorithms for solving some tensor equations, Linear Multilinear Algebra. 67(7) (2019), 1325–1349.
[42] Wang, Q.W., Xu, X.J. and Duan, X.F. Least squares solution of the quaternion sylvester tensor equation, Linear Multilinear Algebra. 69 (2021), 104–130.
[43] Xie, M.Y. and Wang, Q.W. Reducible solution to a quaternion tensor equation, Front. Math. China. 15 (2020), 1047–1070.
[44] Zhang, X.-F. and Wang, Q.-W. Developing iterative algorithms to solve Sylvester tensor equations, Appl. Math. Comput. 409 (2021), 126403.
[45] Zhang, X.-F., Ding, W. and Li, T. Tensor form of GPBiCG algorithm for solving the generalized Sylvester quaternion tensor equations, J. Franklin Institute. 360 (2023), 5929–5946.