Carl Meyer Meyer, C. D. (2018). Rank My Update, Please. AMERICAN MATHEMATICAL MONTHLY, 125(1), 61–64. https://doi.org/10.1080/00029890.2017.1389199 Meyer, C. D. (2015). Continuity of the Perron root. LINEAR & MULTILINEAR ALGEBRA, 63(7), 1332–1336. https://doi.org/10.1080/03081087.2014.934233 Meyer, C. D., & Wessell, C. D. (2012). STOCHASTIC DATA CLUSTERING. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 33(4), 1214–1236. https://doi.org/10.1137/100804395 Langville, A. N., & Meyer, C. D. (2012, July). Who's #1? SCIENTIFIC AMERICAN, Vol. 307, pp. 21–21. https://doi.org/10.1038/scientificamerican0712-21 Langville, A. N., & Meyer, C. D. (2006). A reordering for the PageRank problem. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 27(6), 2112–2120. https://doi.org/10.1137/040607551 Langville, A. N., & Meyer, C. D. (2006). Google's PageRank and beyond: The science of search engine rankings. https://doi.org/10.1515/9781400830329 Langville, A. N., & Meyer, C. D. (2006). Updating Markov chains with an eye on Google's PageRank. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 27(4), 968–987. https://doi.org/10.1137/040619028 Langville, A. N., & Meyer, C. D. (2005). A survey of eigenvector methods for Web information retrieval. SIAM REVIEW, 47(1), 135–161. https://doi.org/10.1137/S0036144503424786 Langville, A., & Meyer, C. (2004). Deeper Inside PageRank. Internet Mathematics, 1(3), 335–380. https://doi.org/10.1080/15427951.2004.10129091 Meyer, C. (2004). Injective properties of complex matrices. American Mathematical Monthly, 111(8), 728. https://doi.org/10.2307/4145059 Chandler, R. E., Meyer, C. D., & Rose, N. J. (2003). Eudoxus meets Cayley. AMERICAN MATHEMATICAL MONTHLY, 110(10), 912–927. https://doi.org/10.2307/3647962 Cho, G. E., & Meyer, C. D. (2001). Comparison of perturbation bounds for the stationary distribution of a Markov chain. LINEAR ALGEBRA AND ITS APPLICATIONS, 335, 137–150. https://doi.org/10.1016/S0024-3795(01)00320-2 Cho, G. E., & Meyer, C. D. (2000). Markov chain sensitivity measured by mean first passage times. LINEAR ALGEBRA AND ITS APPLICATIONS, 316(1-3), 21–28. https://doi.org/10.1016/S0024-3795(99)00263-3 Meyer, C. D. (2000). Matrix analysis and applied linear algebra. Philadelphia: Society for Industrial and Applied Mathematics. Hartfiel, D. J., & Meyer, C. D. (1998). On the structure of stochastic matrices with a subdominant eigenvalue near 1. LINEAR ALGEBRA AND ITS APPLICATIONS, 272, 193–203. https://doi.org/10.1016/s0024-3795(97)00333-9 Ipsen, I. C. F., & Meyer, C. D. (1998). The idea behind Krylov methods. AMERICAN MATHEMATICAL MONTHLY, 105(10), 889–899. https://doi.org/10.2307/2589281