| /petsc/src/ksp/ksp/tutorials/ ! |
| H A D | ex41.m | 4 % solves the linear system and returns the solution vector
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| /petsc/src/ksp/ksp/tutorials/output/ ! |
| H A D | ex88f_2.out | 43 *** Use -mpi_linear_solver_server_view to statistics on all the solves *** 93 *** Use -mpi_linear_solver_server_view to statistics on all the solves ***
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| H A D | ex89f_2.out | 43 *** Use -mpi_linear_solver_server_view to statistics on all the solves *** 93 *** Use -mpi_linear_solver_server_view to statistics on all the solves ***
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| H A D | ex1_mpi_linear_solver_server_1_shared_memory_false.out | 57 *** Use -mpi_linear_solver_server_view to view statistics on all the solves *** 110 *** Use -mpi_linear_solver_server_view to view statistics on all the solves ***
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| H A D | ex1_mpi_linear_solver_server_1.out | 57 *** Use -mpi_linear_solver_server_view to view statistics on all the solves *** 110 *** Use -mpi_linear_solver_server_view to view statistics on all the solves ***
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| H A D | ex88f_1.out | 65 *** Use -mpi_linear_solver_server_view to view statistics on all the solves *** 135 *** Use -mpi_linear_solver_server_view to view statistics on all the solves ***
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| H A D | ex89f_1.out | 65 *** Use -mpi_linear_solver_server_view to view statistics on all the solves *** 135 *** Use -mpi_linear_solver_server_view to view statistics on all the solves ***
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| /petsc/doc/changes/ ! |
| H A D | 311.md | 69 - Added SNESKSPTRANSPOSEONLY: a linear solver only SNES that solves
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| H A D | 2029.md | 148 ILUDT factorization and solves. Which have pivoting and thus are
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| H A D | 37.md | 126 solves within PCMG when using Galerkin coarse level operators.
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| H A D | 313.md | 82 - Add MATCHOLMOD support for block solves
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| H A D | 321.md | 135 - Remove default of `KSPPREONLY` and `PCLU` for `SNESNASM` subdomain solves: for `SNESASPIN` use `-…
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| H A D | 32.md | 191 solves, intended for use when reductions are expensive such as
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| /petsc/doc/install/ ! |
| H A D | external_software.md | 34 …v/~xiaoye/SuperLU/#superlu_dist) Robust and efficient sequential and parallel direct sparse solves.
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| /petsc/doc/manual/ ! |
| H A D | regressor.md | 37 The code presented {any}`below <regressor-ex3>` solves an ordinary linear
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| H A D | tao.md | 625 TAO solves PDE-constrained optimization problems of the form 888 The Newton line search method solves the symmetric system of equations 907 length, $\tau_k$, that approximately solves the one-dimensional 1206 technique solves the first quadratic optimization problem by using a 1258 The Newton trust-region method solves the constrained quadratic 1481 technique solves the first quadratic optimization problem by using a 1542 $\tau_k$, that approximately solves the one-dimensional 1960 multipliers. {cite}`boyd` The algorithm solves problems in 2020 The TAOALMM method solves generally constrained problems of the form 2141 TAO solves PDE-constrained optimization problems of the form [all …]
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| H A D | ksp.md | 91 regarding convergence testing. Note that multiple linear solves can be 151 operations will *not* be repeated for successive solves. 1310 cheaper solves, and generally worse convergence rates. 1509 of local Dirichlet solves, followed by an additive combination of Neumann 2032 …symmetric_multiplicative|schur|gkb:multiplicative> The order in which the field solves are applied. 2045 field solves. 2376 Which, of course, introduces two additional inner solves for each 2642 PETSc option `-mpi_linear_solver_server`. The linear solves are controlled via the options database…
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| H A D | advanced.md | 251 Some of the factorizations also support solves with multiple right-hand sides stored in a `Mat` usi…
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| H A D | profiling.md | 103 - `MatSolve` - Forward/backward triangular solves 143 and then solves the resulting linear system; the program then repeats
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| H A D | section.md | 181 …oses, but generally absent from global vectors since they are not unknowns in the algebraic solves.
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| H A D | snes.md | 110 After having set these routines and options, the user solves the problem 779 nonlinear subproblems, solves them independently in parallel, and 967 accuracy to which the subsidiary iterative method solves the Newton
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| /petsc/src/mat/impls/sbaij/seq/ ! |
| H A D | sbaijfact.c | 1324 C->ops->solves = MatSolves_SeqSBAIJ_1_inplace; in MatCholeskyFactorNumeric_SeqSBAIJ_1_inplace() 1475 B->ops->solves = MatSolves_SeqSBAIJ_1; in MatCholeskyFactorNumeric_SeqSBAIJ_1_NaturalOrdering() 1619 C->ops->solves = MatSolves_SeqSBAIJ_1_inplace; in MatCholeskyFactorNumeric_SeqSBAIJ_1_NaturalOrdering_inplace()
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| /petsc/src/binding/petsc4py/src/petsc4py/PETSc/ ! |
| H A D | KSP.pyx | 238 The default for left preconditioned solves, uses the l₂ norm of 378 This is the object that manages the linear solves in PETSc (even 1587 initial guesses for a set of solves with related right hand 1743 solves, ``DIVERGED_MAX_IT`` is not treated as an error 1760 has multiple solutions) and solves this to find the ∥x∥
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| /petsc/doc/developers/ ! |
| H A D | matrices.md | 75 products, we display them for triangular solves obtained from an ILU(0)
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| /petsc/doc/community/meetings/2023/ ! |
| H A D | index.md | 210 presented that solves the non-hydrostatic, incompressible Boussinesq 749 system that the simulation solves with PETSc. This presentation will 760 system that the simulation solves with PETSc. This presentation will describe 782 PETSc solves the gyrokinetic Poisson equation on either CPU or GPU. We
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