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Ding Lu

Research Interests:
numerical analysis
numerical linear algebra
scientific computing

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


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 VandereyckenSIAM J. Sci. Comput., 2018. 40(5):A3495–A3522. 
  • Subspace acceleration for the Crawford number and related eigenvalue optimization problems, with Daniel Kressner and Bart VandereyckenSIAM J. Matrix Anal. Appl., 2018. 39(2):961–982.
  • Criss-cross type algorithms for computing the real pseudospectral abscissa, with Bart VandereyckenSIAM J. Matrix Anal. Appl., 2017. 38(3):891–923. 
  • Stability Analysis of the two-level orthogonal Arnoldi procedure with, Yangfeng Su and Zhaojun BaiSIAM 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 SuInt. J. Numer. Methods Eng., 2015. 103(11): 840–858.