[1] G., Akemann, J., Baik, and P., Di Francesco, The Oxford Handbook of Random Matrix Theory, Oxford University Press, Oxford, 2011.
[2] G. W., Anderson, A., Guionnet, and O., Zeitouni, An Introduction to Random Matrices, Cambridge University Press, Cambridge, 2010.
[3] Z., Bai, Z., Fang, and Y.-C., Liang, Spectral Theory of Large Dimensional Random Matrices and Its Applications to Wireless Communications and Finance Statistics, World Scientific, Singapore, 2014.
[4] R. B., Bapat, Linear Algebra and Linear Models, 3rd edn, Universitext, Springer-Verlag and Hindustan Book Agency, New Delhi, 2012.
[5] C. W. J., Beenakker, Random-matrix theory of quantum transport, Reviews of Modern Physics 69 (1997) 731–808.
[6] R., Bellman, Introduction to Matrix Analysis, 2nd edn, Society of Industrial and Applied Mathematics, Philadelphia, 1997.
[7] A., Berman and R. J., Plemmons, Nonnegative Matrices in the Mathematical Sciences, Society of Industrial and Applied Mathematics, Philadelphia, 1994.
[8] M., Berry, S., Dumais, and G., O'Brien, Using linear algebra for intelligent information retrieval, SIAM Review 37 (1995) 573–595.
[9] R. A., Brualdi and H. J., Ryser, Combinatorial Matrix Theory, Encyclopedia of Mathematics and its Applications 39, Cambridge University Press, Cambridge, 1991.
[10] B. N., Datta, Numerical Linear Algebra and Applications, 2nd edn, Society of Industrial and Applied Mathematics, Philadelphia, 2010.
[11] E., Davis, Linear Algebra and Probability for Computer Science Applications, A. K. Peters/CRC Press, Boca Raton, FL, 2012.
[12] P., Diaconis, Patterns in eigenvalues: the 70th Josiah Willard Gibbs lecture, Bulletin of American Mathematical Society (New Series) 40 (2003) 155–178.
[13] G. H., Golub and J. M., Ortega, Scientific Computing and Differential Equations, Academic Press, Boston and New York, 1992.
[14] J., Gomide, R., Melo-Minardi, M. A., dos Santos, G., Neshich, W., Meira, Jr., J. C., Lopes, and M., Santoro, Using linear algebra for protein structural comparison and classification, Genetics and Molecular Biology 32 (2009) 645–651.
[15] A., Graham, Nonnegative Matrices and Applicable Topics in Linear Algebra, John Wiley & Sons, New York, 1987.
[16] F. A., Graybill, Introduction to Matrices with Applications in Statistics, Wadsworth Publishing Company, Belmont, CA, 1969.
[17] T., Guhr, A., Müller-Groeling, and H. A., Weidenmiiller, Random-matrix theories in quantum physics: common concepts, Physics Reports 299 (1998) 189–425.
[18] P. R., Halmos, Finite-Dimensional Vector Spaces, 2nd edn, Springer-Verlag, New York, 1987.
[19] K., Hoffman and R., Kunze, Linear Algebra, Prentice-Hall, Englewood Cliffs, NJ, 1965.
[20] K. J., Horadam, Hadamard Matrices and Their Applications, Princeton University Press, Princeton, NJ, 2007.
[21] R. A., Horn and C. R., Johnson, Matrix Analysis, Cambridge University Press, Cambridge, New York, and Melbourne, 1985.
[22] P., Lancaster and M., Tismenetsky, The Theory of Matrices, 2nd edn, Academic Press, San Diego, New York, London, Sydney, and Tokyo, 1985.
[23] S., Lang, Linear Algebra, 3rd edn, Springer-Verlag, New York, 1987.
[24] G., Latouche and R., Vaidyanathan, Introduction to Matrix Analytic Methods in Stochastic Modeling, Society of Industrial and Applied Mathematics, Philadelphia, 1999.
[25] P. D., Lax, Linear Algebra and Its Applications, John Wiley & Sons, Hoboken, NJ, 2007.
[26] W., Leontief, Input-Output Economics, Oxford University Press, New York, 1986
[27] Y. I., Lyubich, E., Akin, D., Vulis, and A., Karpov, Mathematical Structures in Population Genetics, Springer-Verlag, New York, 2011.
[28] M. L., Mehta, Random Matrices, Elsevier Academic Press, Amsterdam, 2004.
[29] C., Meyer, Matrix Analysis and Applied Linear Algebra, Society of Industrial and Applied Mathematics, Philadelphia, 2000.
[30] S. P., Meyn and R. L., Tweedie, Markov Chains and Stochastic Stability, Springer-Verlag, London, 1993; 2nd edn, Cambridge University Press, Cambridge, 2009.
[31] D. R., Stinson, Cryptography, Discrete Mathematics and its Applications, Chapman … Hall/CRC Press, Boca Raton, FL, 2005.
[32] J., Stoer and R., Bulirsch, Introduction to Numerical Analysis, Springer-Verlag, New York, Heidelberg, and Berlin, 1980.
[33] T., Tao, Topics in Random Matrix Theory, American Mathematical Society, Providence, RI, 2012.
[34] C. H., Taubes, Lecture Notes on Probability, Statistics, and Linear Algebra, Department of Mathematics, Harvard University, Cambridge, MA, 2010.
[35] P., Van Dooren and B., Wyman, Linear Algebra for Control Theory, IMA Voumes in Mathematics and its Applications, Springer-Verlag, New York, 2011.
[36] E., Wigner, Characteristic vectors of bordered matrices with infinite dimensions, Annals of Mathematics 62 (1955) 548–564.
[37] E., Wigner, On the distribution of the roots of certain symmetric matrices, Annals of Mathematics 67 (1958) 325–327.
[38] Y., Xu, Linear Algebra and Matrix Theory (in Chinese), 2nd edn, Higher Education Press, Beijing, 2008.