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📄 solver.par

📁 cfd求解器使用与gmsh网格的求解
💻 PAR
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/*Matrix_Format (Integer):     - 1  Sparse     - 2  Full     - default : 1Matrix_Printing (Integer): Disk write ('fort.*')     - 1  matrix (csr)     - 2  preconditioner (msr)     - 3  both     - default : 0Matrix_Storage (Integer): Disk Write or Read in internal format     - 0  none     - 1  write matrix (sparse)     - 2  read matrix (sparse)     - default : 0Scaling (Integer): Scale system     - 0  no     - 1  on basis of diagonal elements  (no loss of possible symmetry)     - 2  on basis of inf. norm  of first rows and then columns  (asymmetric)     - 3  on basis of norm 1     of first rows and then columns  (asymmetric)     - 4  on basis of norm 2     of first rows and then columns  (asymmetric)     - default : 0Renumbering_Technique (Integer):     - 0  No renumbering     - 1  Reverse Cuthill-Mc Kee     - default : 1 Preconditioner (Integer):     - 0  NONE     No Factorization    - 1  ILUT     Incomplete LU factorization with dual truncation strategy     - 2  ILUTP    ILUT with column  pivoting                                    - 3  ILUD     ILU with single dropping + diagonal compensation (~MILUT)     - 4  ILUDP    ILUD with column pivoting                                     - 5  ILUK     level-k ILU                                                   - 6  ILU0     simple ILU(0) preconditioning                                 - 7  MILU0    MILU(0) preconditioning                                       - 8  DIAGONAL                                                               - default : 2 Preconditioner_Position (Integer):     - 0  No Preconditioner     - 1  Left Preconditioner     - 2  Right Preconditioner     - 3  Both Left and Right Preconditioner     - default : 2 Nb_Fill (Integer):     - ILUT/ILUTP : maximum number of elements per line       of L and U (except diagonal element)     - ILUK : each element whose fill-in level is greater than NB_FILL       is dropped.     - default : 20Permutation_Tolerance (Real): Tolerance for column permutation in ILUTP/ILUDP.     At stage i, columns i and j are permuted if     abs(a(i,j))*PERMUTATION_TOLERANCE > abs(a(i,i)).     - 0  no permutations     - 0.001 -> 0.1  classical     - default : 0.05Dropping_Tolerance (Real):     - ILUT/ILUTP/ILUK: a(i,j) is dropped if       abs(a(i,j)) < DROPPING_TOLERANCE * abs(diagonal element in U).     - ILUD/ILUDP : a(i,j) is dropped if       abs(a(i,j)) < DROPPING_TOLERANCE * [weighted norm of line i].       Weighted norm = 1-norm / number of nonzero elements on the line.     - default : 0Diagonal_Compensation (Real): ILUD/ILUDP: the term 'DIAGONAL_COMPENSATION * (sum     of all dropped elements of the line)' is added to the diagonal element in U     - 0  ~ ILU with threshold       1  ~ MILU with threshold.     - default : 0Re_Use_ILU (Integer): Reuse ILU decomposition (and renumbering if any)    - 0  no     - 1  yes     - default : 0Algorithm (Integer):     - 1  CG       Conjugate Gradient                        - 2  CGNR     CG (Normal Residual equation)             - 3  BCG      Bi-Conjugate Gradient                     - 4  DBCG     BCG with partial pivoting                 - 5  BCGSTAB  BCG stabilized                            - 6  TFQMR    Transpose-Free Quasi-Minimum Residual     - 7  FOM      Full Orthogonalization Method             - 8  GMRES    Generalized Minimum RESidual              - 9  FGMRES   Flexible version of GMRES                 - 10 DQGMRES  Direct versions of GMRES                  - 11 LU       LU Factorization                          - 12 PGMRES   Alternative version of GMRES              - default : 8Krylov_Size (Integer): Krylov subspace size     - default : 40IC_Acceleration (Real): IC accelerator    - default : 1 Re_Use_LU (Integer): Reuse LU decomposition    - 0  no     - 1  yes     - default : 0Iterative_Improvement (Integer): Iterative improvement of the solution obtained by a LU     - default : 0Nb_Iter_Max (Integer): Maximum number of iterations     - default : 1000 Stopping_Test (Real): Target relative residual     - default : 1e-10 */            Matrix_Format            1          Matrix_Printing            0           Matrix_Storage            0                  Scaling            0    Renumbering_Technique            1           Preconditioner            2  Preconditioner_Position            2                  Nb_Fill           20    Permutation_Tolerance         0.05       Dropping_Tolerance            0    Diagonal_Compensation            0               Re_Use_ILU            0                Algorithm            8              Krylov_Size           40          IC_Acceleration            1                Re_Use_LU            0    Iterative_Improvement            0              Nb_Iter_Max         1000            Stopping_Test        1e-10

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