Parallel two-level domain decomposition based Jacobi-Davidson algorithms for pyramidal quantum dot simulation

DOI10.1016/j.cpc.2016.03.009zbMath1378.65110OpenAlexW2327471624MaRDI QIDQ1682522

Xiao-Chuan Cai, Tao Zhao, Feng-Nan Hwang

Publication date: 30 November 2017

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2016.03.009

zbMATH Keywords

polynomial eigenvalue problemparallel performanceJacobi-Davidson algorithmquantum dot simulationtwo-level Schwarz preconditioner

Mathematics Subject Classification ID

Numerical solution of nonlinear eigenvalue and eigenvector problems (65H17) Quantum dots as quasi particles (81V65) Finite volume methods for boundary value problems involving PDEs (65N08)

Related Items (4)

A Two-Level Preconditioned Helmholtz Subspace Iterative Method for Maxwell Eigenvalue Problems ⋮ Spectral Element Methods for Eigenvalue Problems Based on Domain Decomposition ⋮ A convergence analysis of the inexact simplified Jacobi-Davidson algorithm for polynomial eigenvalue problems ⋮ On the convergence of a two-level preconditioned Jacobi–Davidson method for eigenvalue problems

Uses Software

• SLEPc
• PETSc

Cites Work

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