References for the Linear System Solvers and the Preconditioners
1. http://graal.ens-lyon.fr/MUMPS/
2. www.netlib.org/linalg/spooles/
3. www.pardiso-project.org/
4. http://www.netlib.org/lapack/index.html
5. http://www.netlib.org/scalapack/index.html
6. https://computation.llnl.gov/casc/hypre/software.html
7. https://computation.llnl.gov/casc/hypre/download/hypre-2.9.0b_usr_manual.pdf
8. Greenbaum, A., “Iterative Methods for Linear Systems,” Frontiers in Applied Mathematics, vol. 17, SIAM, 1997.
9. Y. Saad and M.H. Schultz, “GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems,” SIAM J. Sci. Statist. Comput., vol. 7, pp. 856–869, 1986.
10. Y. Saad, Iterative Methods for Sparse Linear Systems, Boston, 1996.
11. Y. Saad, “A Flexible Inner-Outer Preconditioned GMRES Algorithm,” SIAM J. Sci. Statist. Comput., vol. 14, pp. 461–469, 1993.
12. M.R. Hestenes and E. Stiefel, “Methods of Conjugate Gradients for Solving Linear Systems,” J. Res. Nat. Bur. Standards, vol. 49, pp. 409–435, 1952.
13. C. Lanczos, “Solutions of Linear Equations by Minimized Iterations,” J. Res. Nat. Bur. Standards, vol. 49, pp. 33–53, 1952.
14. H.A. Van Der Vorst, “A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems,” SIAM J. Sci. Statist. Comput., vol. 13, pp. 631–644, 1992.
15. J.R. Gilbert and S. Toledo, “An Assessment of Incomplete-LU Preconditioners for Nonsymmetric Linear Systems,” Informatica, vol. 24, pp. 409–425, 2000.
16. Y. Saad, ILUT: A Dual Threshold Incomplete LU Factorization, Report umsi-92-38, Computer Science Department, University of Minnesota, available from http://www-users.cs.umn.edu/~saad.
17. W. Hackbusch, Multi-grid Methods and Applications, Springer-Verlag, Berlin, 1985.
18. R. Beck and R. Hiptmair, “Multilevel Solution of the Time-harmonic Maxwell’s Equations Based on Edge Elements,” Int. J. Num. Meth. Engr., vol. 45, pp. 901–920, 1999.
19. S. Vanka, “Block-implicit Multigrid Calculation of Two-dimensional Recirculating Flows,” Computer Methods in Applied Mechanics and Engineering, vol. 59, no. 1, pp. 29–48, 1986.
20. H.C. Elman and others, “A Multigrid Method Enhanced by Krylov Subspace Iteration for Discrete Helmholtz Equations,” SIAM J. Sci. Comp., vol. 23, pp. 1291–1315, 2001.
21. A. Toselli and O. Widlund, “Domain Decomposition Methods — Algorithms and Theory,” Springer Series in Computational Mathematics, vol. 34, 2005.
22. J.E. Dennis, Jr., and Robert B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations, SIAM, 1996.
23. Intel® Developer Zone, Preconditioners based on Incomplete LU Factorization Technique: https://software.intel.com/en-us/node/470360.
The COMSOL Multiphysics implementations of the algebraic multigrid solver and preconditioner are based on the following references:
24. K. Stüben, Algebraic Multigrid (AMG): An Introduction with Applications, GMD Report 70, GMD, 1999.
25. C. Wagner, Introduction to Algebraic Multigrid, course notes, University of Heidelberg, 1999.
26. R. Hiptmair, “Multigrid Method for Maxwell’s Equations,” SIAM J. Numer. Anal., vol. 36, pp. 204–225, 1999.
27. D. J. Mavriplis, “Directional Agglomeration Multigrid Techniques for High-Reynolds Number Viscous Flows,” ICASE Report No. 98-7 (NASA/CR-1998-206911), Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, Hampton, VA, 1998.
28. V. John and G. Matthies, “Higher-order Finite Element Discretization in a Benchmark Problem for Incompressible Flows,” Int. J. Numer. Meth. Fluids, vol. 37, pp. 885–903, 2001.
29. V. John, “Higher-order Finite Element Methods and Multigrid Solvers in a Benchmark Problem for the 3D Navier-Stokes Equations,” Int. J. Numer. Meth. Fluids, vol. 40, pp. 775–798, 2002.