Searched refs:Jacobi (Results 1 – 25 of 32) sorted by relevance
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| /petsc/src/ksp/ksp/tutorials/output/ |
| H A D | ex55_hypre_device.out | 40 Relax down l1scaled-Jacobi
41 Relax up l1scaled-Jacobi
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| H A D | ex55_hypre_device_alt.out | 38 Relax down l1scaled-Jacobi
39 Relax up l1scaled-Jacobi
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| H A D | ex49_hypre_nullspace_alt.out | 33 Relax down symmetric-SOR/Jacobi
34 Relax up symmetric-SOR/Jacobi
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| H A D | ex49_hypre_nullspace.out | 34 Relax down symmetric-SOR/Jacobi
35 Relax up symmetric-SOR/Jacobi
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| /petsc/src/ksp/ksp/tests/raja/output/ |
| H A D | ex1_1.out | 1 Jacobi Example
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| H A D | ex1_2.out | 1 Jacobi Example
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| /petsc/src/ksp/pc/tests/output/ |
| H A D | ex10_1.out | 17 Relax down symmetric-SOR/Jacobi
18 Relax up symmetric-SOR/Jacobi
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| /petsc/doc/changes/ |
| H A D | 2015.md | 93 - Changed the default linear solvers from GMRES(30) with Jacobi
95 preconditioning multiprocessor: GMRES(30) with block Jacobi
98 options for the block Jacobi method. You can still employ the old
121 (ASM, block Jacobi, block Gauss-Seidel).
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| H A D | 321.md | 121 …`-pc_jacobi_rowl1_scale scale` to access new scale member of PC_Jacobi class, for new row l1 Jacobi
125 - Add `PCJacobiGetDiagonal()` to access the Jacobi inverted matrix diagonal and its square root var…
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| H A D | 314.md | 282 - Add PetscDTJacobiNorm() for the weighted L2 norm of Jacobi
285 the derivatives of orthogonal polynomials on the segment (Jacobi)
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| H A D | 300.md | 22 block Jacobi, for SNES inside TS and KSP inside SNES etc.
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| H A D | 34.md | 138 block Jacobi). If previously you had convergence of iterative
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| H A D | 33.md | 88 block Jacobi Gauss-Seidel relaxation. This is a linear
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| H A D | 313.md | 213 - PetscDTGaussJacobiQuadrature() is now truly Gauss-Jacobi
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| H A D | 317.md | 156 - Change `PCGAMG` to use `PCGAMGSetUseSAEstEig()` by default when the smoother uses Jacobi precondi…
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| /petsc/src/ksp/ksp/tutorials/ |
| H A D | ex100.py | 27 pc.setPythonContext(example100.Jacobi())
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| H A D | example100.py | 68 class Jacobi(object): class
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| /petsc/doc/overview/ |
| H A D | linear_solve_table.md | 21 - Jacobi
28 - Point Block Jacobi
35 - Variable Point Block Jacobi
42 - Block Jacobi
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| /petsc/src/snes/tutorials/output/ |
| H A D | ex19_euclid.out | 62 use Block-Jacobi? 0
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| H A D | ex19_euclid_bj.out | 71 use Block-Jacobi? 1
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| H A D | ex19_euclid_droptolerance.out | 76 use Block-Jacobi? 0
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| /petsc/src/binding/petsc4py/docs/source/ |
| H A D | overview.rst | 72 parallel) block Jacobi, overlapping additive Schwarz methods.
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| H A D | petsc_python_types.rst | 44 In the example below, we create a Jacobi preconditioner, which needs to access
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| /petsc/doc/manual/ |
| H A D | ksp.md | 117 block Jacobi method (with one block per process, each of which is solved
621 cannot use a `KSP` in its preconditioner, as is common in the Block-Jacobi method `PCBJACOBI`, for …
724 * - Jacobi
727 * - Block Jacobi
828 using block Jacobi or ASM preconditioning (see below).
912 ### Block Jacobi and Overlapping Additive Schwarz Preconditioners
914 The block Jacobi and overlapping additive Schwarz (domain decomposition) methods in PETSc are
947 The block Jacobi, block Gauss-Seidel, and additive Schwarz
1006 result in an ASM variant that is equivalent to the block Jacobi
1188 Jacobi preconditioning. This can be overridden with
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| /petsc/doc/faq/ |
| H A D | index.md | 212 (almost all preconditioner algorithms except Jacobi are different for different number of
214 different numbers of processes. In some cases (for example block Jacobi preconditioner) it
220 preconditioner block Jacobi depends on the number of processes. The more processes the
1398 is particularly true for block Jacobi (the default parallel preconditioner). You can
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