Ding Lu

Research Interests:
numerical analysis
numerical linear algebra
scientific computing
Education

Ph.D. Computational Mathematics, Fudan University, June 2015.
B.S. Mathematics, Fudan University, June 2010.

Research

My main areas of research interest are numerical analysis, numerical linear algebra, and scientific computing, with research focus on numerical algorithms for algebraic eigenvalue, and eigenvalue related problems.

Selected Publications:
  • Robust Rayleigh quotient minimization and nonlinear eigenvalue problems, with Zhaojun Bai and Bart Vandereycken, SIAM J. Sci. Comput., 2018. 40(5):A3495–A3522. 
  • Subspace acceleration for the Crawford number and related eigenvalue optimization problems, with Daniel Kressner and Bart Vandereycken, SIAM J. Matrix Anal. Appl., 2018. 39(2):961–982.
  • Criss-cross type algorithms for computing the real pseudospectral abscissa, with Bart Vandereycken, SIAM J. Matrix Anal. Appl., 2017. 38(3):891–923. 
  • Stability Analysis of the two-level orthogonal Arnoldi procedure with, Yangfeng Su and Zhaojun Bai, SIAM J. Matrix Anal. Appl., 2016. 37(1): 195–214. 
  • A Pade approximate linearization algorithm for solving the quadratic eigenvalue problem with low-rank damping, with Xin Huang, Zhaojun Bai, and Yangfeng Su, Int. J. Numer. Methods Eng., 2015. 103(11): 840–858.