معرفی
Fei Xue is Associate Professor in the Department of Mathematical Sciences at Clemson University. His research specializes in numerical linear algebra and scientific computing, particularly developing efficient algorithms for large-scale eigenvalue problems and linear systems.
Research focuses on preconditioned iterative methods, Krylov subspace techniques, and numerical solutions to partial differential equations. Recent work has developed novel algorithms for eigenvalue computation, including the Block Preconditioned Harmonic Projection method for nonlinear eigenproblems and a Chebyshev-based Locally Optimal Block Preconditioned Conjugate Gradient method. Applications span quantum physics, materials science, and computational finance.
Dr. Xue has received sustained NSF funding since 2011 for his work on eigenvalue solvers and matrix computations. Teaching responsibilities include graduate courses in numerical linear algebra and scientific computing.
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