Basic Information
Computational Mathematics
Yin Junfeng

Numerical linear algebra and scientific computing

Numerical solution for pricing option

Big data mining and artificial intelligence


2001/09–2006/07, Ph. D, Academy of mathematics and system science, Chinese academy of science;

1997/09–2001/09, B. S, School of mathematical science, Peking University.


2012/12–now, Professor, department of mathematics/School of mathematical science, Tongji university

2006/07–2012/12, Associate professor, department of mathematics, Tongji university

2006/07–2008/07, Project researcher, National Institute of Informatics, Japan.

Paper & Publicaiont

1, N. Zheng, K. Hayami, J.-F. Yin, Modulus-type inner outer iteration methods for nonnegative constrained least squares problems, SIAM J. Matrix Anal. Appl., 64(2), pp. 245-262, 2016.

2, N. Zheng, J.-F. Yin, Convergence of accelerated modulus-based matrix splitting iteration methods for linear complementarity problem with an H+-matrix, J. Comput. Appl. Math. 260, pp. 281-293, 2014.

3, Yin, Jun-Feng, Yin, Guo-Jian, Ng, Michael, On adaptively accelerated Arnoldi method for computing PageRank. Numer. Linear Algebra Appl. 19 (2012), no. 1, 73–85.

4, Hayami, Ken; Yin, Jun-Feng; Ito, Tokushi; GMRES methods for least squares problems. SIAM J. Matrix Anal. Appl. 31 (2010), no. 5, 2400–2430.

5, Bai, Zhong-Zhi; Golub, Gene H.; Lu, Lin-Zhang; Yin, Jun-Feng; Block triangular and skew-Hermitian splitting methods for positive-definite linear systems. SIAM J. Sci. Comput. 26 (2005), no. 3, 844–863.