ICCG convergence case
Hi,
Incomplete Cholesky Conjugate gradient (ICCG) is known as a powerful tool to solve the linear equations. I have used ICCG(0) to solve the pressure poisson eqiarions very successfully. But now I faced one problem in unstuctured grid, the conjugate gradient with Jacobi preconditioner converges successfully, but the ICCG(0) always diverges, I doubted that maybe one must use ICCG (1) or ICCG(2)in some special cases to get converged results due to the fact that the iterarion matrix is not well behaviored in some senses. Any commnets about this problem are appreciated. Ps. ICCG(N) means the fillin of entries in the incomplete cholesky decompositio by point. Hong 
Re: ICCG convergence case
I had convergence problems with the conjugate gradient with Jacobi preconditioner for solving the poisson equation on 3D unstructered Grid. But I have never had such problems with these algorithms:
GMRES Orthomin(2) Sorry, but I have no experience with ICCG 
Re: ICCG convergence case
How many inner iterations you are giving. Try reducing the number of inner iterations and tell me your experience.
GS 
Re: ICCG convergence case
solution solution solution is solution

Re: ICCG convergence case
Hi,
I don't get your points by 'inner iterarion'. firstly I suppose this is a linear problem, secondly, in ICCG the iteration procedure is well defined, there is nothing you can make change about the algorithm. Hongliang 
Re: ICCG convergence case
Thanks a lot
Hongliang 
Re: ICCG convergence case
Two thoughts:
(1) For a central differenced structured grid solution of the pressure equation your matrix will be symmetric and ICCG should work well. Is your matrix still symmetric with an unstructured grid? If not, that may be your problem. Cholesky factorization and CG are designed for symmetric matrices. Other gradientbased solvers (GMRES, Orthomin, CGS, BiCGStab, etc.) are designed to handle nonsymmetric matrices and should work better as someone else suggested. (2) If a gradient based method is failing, that can mean your preconditioner is not effectively reducing the condition number of the matrix (and may be making it worse). The fact that Jacobi preconditioning converges doesn't make it seem that your matrix is too stiff, however. If you have a nonsymmetric matrix, you'll probably want to do an ILU(N) with GMRES, CGS, etc. Hopefully, that will do the trick. 
Re: ICCG convergence case
Hi,
I totally agree with what you have said. I have checked my code which has a bug leading to the unsymmetry of the matrix, after curing the bug, the ICCG works perfectly. From this experience, I also learned that the conjugate gradient with Jacobi preconditioner can work in kind of slightly unsymmetric matrix. but this is almost uselss information because we don't in which kind of unsymmetry it will work. Thanks a lot Hongliang 
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