[1] G. H. Golub and C. F. Van Loan, Matrix Computations, Johns Hopkins University Press, 1996.
[2] G. NAGY. James, K. NG. Michael and L. Perrone, Kronecker product approximations for image restoration with reflexive boundary conditions, SIAM J. Matrix Anal. Appl., 25 (2004) 829-841.
[3] A. N. Langvillea and W. J. Stewart, The Kronecker product and stochastic automata networks, J. Comput. Appl. Math., 167 (2004) 429–447.
[4] J. Leskovec, D. Chakrabarti, J. Kleinberg, Ch. Faloutsos and Z. Ghahramani, Kronecker graphs: an approach to modeling networks, J. Mach. Learn. Res., 11 (2010) 985–1042.
[5] M. Nielsen and I. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2000.
[6] R. S. Stankovic and B. J. Falkowski, The Haar wavelet transform: its status and achievements, Computers and Electrical Engineering, 29 (2003) 25–44.
[7] W. H. Steeb, Matrix calculus and Kronecker product with applications and C++ programs, World scientific publishing, Singa-pore, 1997.
[8] W. H. Steeb, Chaos, Fractals, CellularAutomata, NeuralNetworks, GeneticAlgorithms, Worldscientificpublishing, Singapore, 2008.
[9] C. F. Van Loan, The Ubiquitous, Kronecker Product, Journal of Computation and Applied Mathematics, 123 (2000) 85–100.
[10] C. F. Van Loan and N. Pitsianis, Approximation with Kronecker Product, Linear Algebra for Large Scale and Real-Time Appli-cations, 123 (1993) 293–314.
[11] J. G. Zehfuss, Ueber eine gewisse Determinante, Zeitschrift für Mathematik und Physik, 3 (1858) 298–301.