GPA: Intrinsic Parallel Solver for the Discrete PDE Eigen-Problem
Jiachang Sun
Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (3) : 970 -986.
A class of geometric asynchronous parallel algorithms for solving large-scale discrete PDE eigenvalues has been studied by the author (Sun in Sci China Math 41(8): 701–725, 2011; Sun in Math Numer Sin 34(1): 1–24, 2012; Sun in J Numer Methods Comput Appl 42(2): 104–125, 2021; Sun in Math Numer Sin 44(4): 433–465, 2022; Sun in Sci China Math 53(6): 859–894, 2023; Sun et al. in Chin Ann Math Ser B 44(5): 735–752, 2023). Different from traditional preconditioning algorithm with the discrete matrix directly, our geometric pre-processing algorithm (GPA) algorithm is based on so-called intrinsic geometric invariance, i.e., commutativity between the stiff matrix A and the grid mesh matrix
Mathematical-physical discrete eigenvalue problems / Commutative operator / Geometric pre-processing algorithm (GPA) / Eigen-polynomial factorization
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Shanghai University
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