A Domain Decomposition Based Jacobi-Davidson Algorithm for Quantum Dot Simulation

DOI10.1007/978-3-319-18827-0_42zbMath1343.82056OpenAlexW2527451000MaRDI QIDQ2815027

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

Publication date: 23 June 2016

Published in: Lecture Notes in Computational Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18827-0_42

Mathematics Subject Classification ID

Multigrid methods; domain decomposition for boundary value problems involving PDEs (65N55) Statistical mechanics of semiconductors (82D37) Parallel numerical computation (65Y05) Numerical methods for eigenvalue problems for boundary value problems involving PDEs (65N25) Quantum dots as quasi particles (81V65) Finite volume methods for boundary value problems involving PDEs (65N08)

Related Items (2)

A Two-Level Preconditioned Helmholtz Subspace Iterative Method for Maxwell Eigenvalue Problems ⋮ A two-level preconditioned Helmholtz-Jacobi-Davidson method for the Maxwell eigenvalue problem

Uses Software

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Cites Work

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• A parallel additive Schwarz preconditioned Jacobi-Davidson algorithm for polynomial eigenvalue problems in quantum dot simulation
• Jacobi-Davidson type methods for generalized eigenproblems and polynomial eigenproblems
• SLEPc
• A Restricted Additive Schwarz Preconditioner for General Sparse Linear Systems

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