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/petsc/src/ts/tutorials/
H A Dex8.c285 Problem problem; member
295 if (!mon->problem->solution) PetscFunctionReturn(PETSC_SUCCESS); in MonitorError()
296 PetscCall((*mon->problem->solution)(t, mon->x, mon->problem->data)); in MonitorError()
314 Problem problem; in main() local
349 PetscCall(PetscNew(&problem)); in main()
350 problem->comm = MPI_COMM_WORLD; in main()
356 PetscCall((*pcreate)(problem)); in main()
363 PetscCall(MatSetSizes(A, problem->n, problem->n, PETSC_DETERMINE, PETSC_DETERMINE)); in main()
371 mon.problem = problem; in main()
380 PetscCall(TSSetIFunction(ts, NULL, problem->function, problem->data)); in main()
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/petsc/src/tao/unconstrained/tutorials/
H A Drosenbrock4.h27 Rosenbrock problem; member
100 user->problem.alpha = 99.0; in AppCtxCreate()
101 user->problem.bs = 2; // bs = 2 is block Rosenbrock, bs = n is chained Rosenbrock in AppCtxCreate()
106 …Int("-bs", "Rosenbrock block size (2 <= bs <= n)", NULL, user->problem.bs, &user->problem.bs, NULL… in AppCtxCreate()
107 …("-alpha", "Rosenbrock off-diagonal coefficient", NULL, user->problem.alpha, &user->problem.alpha,… in AppCtxCreate()
110 …PetscCheck(user->problem.bs >= 1, comm, PETSC_ERR_ARG_INCOMP, "Block size %" PetscInt_FMT " is not… in AppCtxCreate()
111 …% user->problem.bs) == 0, comm, PETSC_ERR_ARG_INCOMP, "Block size %" PetscInt_FMT " does not divid… in AppCtxCreate()
145 PetscInt bs = user->problem.bs; in CreateHessian()
155 user->problem.i_start = i_start; in CreateHessian()
156 user->problem.i_end = i_end; in CreateHessian()
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/petsc/src/tao/leastsquares/tutorials/matlab/
H A DProblemFinalize.m16 Results{SolverNumber,np}.problem = ['problem ' num2str(np) ' from More/Wild'];
49 Results{SolverNumber,np}.problem = ['problem ' num2str(np) ' from More/Wild'];
H A DProblemInitialize.m3 % The taopounders driver sets np, the problem instance number
6 nprob = dfo(np,1); % Internal index for the problem
30 % Control returns to taopounders interface to solve the problem
H A DTestingInitialize.m4 % Make the test problem accessible to the MATLAB session and load the data matrix
/petsc/src/snes/tests/
H A Dex68.c130 PetscInt problem = 1, N = 10; in main() local
135 PetscCall(PetscOptionsGetInt(NULL, NULL, "-problem", &problem, NULL)); in main()
148 switch (problem) { in main()
156 SETERRQ(comm, PETSC_ERR_ARG_OUTOFRANGE, "Invalid problem number %" PetscInt_FMT, problem); in main()
167 switch (problem) { in main()
175 SETERRQ(comm, PETSC_ERR_ARG_OUTOFRANGE, "Invalid problem number %" PetscInt_FMT, problem); in main()
/petsc/src/ksp/ksp/tutorials/
H A Dex35.cxx94 PetscInt dim, n, problem, nlevels; member
224 switch (user->problem) { in ComputeDiffusionCoefficient()
240 switch (user->problem) { in ExactSolution()
246 …_OUTOFRANGE, "Exact solution for -problem = [%" PetscInt_FMT "] is not available.", user->problem); in ExactSolution()
252 switch (user->problem) { in ComputeForcingFunction()
268 switch (user->problem) { in EvaluateStrongDirichletCondition()
564 user->problem = 1; in InitializeOptions()
580 …oblem being solved (controls forcing function)", "ex35.cxx", user->problem, &user->problem, NULL)); in InitializeOptions()
597 if (user->problem < 1 || user->problem > 3) user->problem = 1; in InitializeOptions()
600 if (user->problem == 3) { in InitializeOptions()
H A Dex36.cxx77 PetscInt problem, dim, n, nlevels; member
211 if (user->problem == 2) { in ComputeDiffusionCoefficient()
219 if (user->problem == 2) { in ComputeReactionCoefficient()
227 if (user->problem == 2) { in ExactSolution()
244 if (user->problem == 2) { in ForcingFunction()
519 user->problem = 1; in InitializeOptions()
536 …oblem being solved (controls forcing function)", "ex36.cxx", user->problem, &user->problem, NULL)); in InitializeOptions()
555 if (user->problem < 1 || user->problem > 2) user->problem = 1; in InitializeOptions()
/petsc/share/petsc/datafiles/matrices/
H A DLFAT5.mtx13 % kind: model reduction problem
16 % Primary matrix in this model reduction problem is the Oberwolfach K matrix
/petsc/src/sys/yaml/src/
H A Dloader.c16 const char *problem, yaml_mark_t problem_mark);
21 const char *problem, yaml_mark_t problem_mark);
135 const char *problem, yaml_mark_t problem_mark) in yaml_parser_set_composer_error() argument
138 parser->problem = problem; in yaml_parser_set_composer_error()
151 const char *problem, yaml_mark_t problem_mark) in yaml_parser_set_composer_error_context() argument
156 parser->problem = problem; in yaml_parser_set_composer_error_context()
H A Dreader.c9 yaml_parser_set_reader_error(yaml_parser_t *parser, const char *problem,
26 yaml_parser_set_reader_error(yaml_parser_t *parser, const char *problem, in yaml_parser_set_reader_error() argument
30 parser->problem = problem; in yaml_parser_set_reader_error()
H A Dparser.c76 const char *problem, yaml_mark_t problem_mark);
81 const char *problem, yaml_mark_t problem_mark);
197 const char *problem, yaml_mark_t problem_mark) in yaml_parser_set_parser_error() argument
200 parser->problem = problem; in yaml_parser_set_parser_error()
209 const char *problem, yaml_mark_t problem_mark) in yaml_parser_set_parser_error_context() argument
214 parser->problem = problem; in yaml_parser_set_parser_error_context()
/petsc/src/tao/leastsquares/tutorials/matlab/more_wild_probs/
H A Dperf_profile.m21 % H(f,p,s) = function value # f for problem p and solver s.
37 prob_min = min(min(H),[],3); % The global minimum for each problem
38 prob_max = H(1,:,1); % The starting value for each problem
40 % For each problem and solver, determine the number of evaluations
H A Ddfoxs.m22 % starting point for problem nprob multiplied by factor.
25 % number of the problem. nprob must not exceed 22.
/petsc/src/ts/tutorials/output/
H A Dex3_stringview_euler.out1 Solving a linear TS problem on 1 processor
H A Dex3_stringview.out1 Solving a linear TS problem on 1 processor
H A Dex6_1.out1 Solving a linear TS problem on 1 processor
H A Dex4_sundials.out1 Solving a linear TS problem, number of processors = 4
H A Dex4_sundials_dense.out1 Solving a linear TS problem, number of processors = 1
/petsc/doc/manual/
H A Dfe.md11 ## Describing a particular finite element problem to PETSc
13 …problem is presented to PETSc in a series of steps. This is both to facilitate automation, and to …
43 …EHOLDER/src/snes/tutorials/ex13.c.html">SNES Tutorial ex13</a>, we define the Poisson problem using
97 …ts of the mesh using labels and label values. We can reproduce the above problem using the *SetInd…
107 …</a>, we define the Poisson problem over the entire domain, but in the top half we also define a p…
H A Dregressor.md32 optimization problem (often using `TAO` solvers) to determine the model parameters, whereas making …
38 regression problem, with various options for regularization.
87 various solver or problem parameters.
152 …onstrained regularized Gauss-Newton `TAOBRGN` is used to solve the underlying optimization problem.
176 If one wishes, the user can (when appropriate) use `KSP` to solve the problem, instead of `Tao`,
/petsc/src/tao/leastsquares/tutorials/matlab/output/
H A Dmatlab_ls_test.out1 Running problem 5
/petsc/doc/community/
H A Dmailing.md29 whether a fix or work-around to the problem already exists. Also, see the chapter on
43 the problem. We suggest providing the following information:
57 - Detailed steps to recreate the problem if possible.
62 - If the problem involves installation, send the entire `configure.log` and
H A Droadmap.md7 - Continue implementing advanced algorithms to provide state-of-the-art problem-solving infrastruct…
/petsc/lib/petsc/bin/
H A Dpetsc_tas_analysis.py472 elif cmdLineArgs.problem != 'NULL':
474 Field(file.fileName, config.fieldNames[cmdLineArgs.problem]['field '+str(f)]))
478 …sys.exit('The problem you specified on the command line: ' + cmdLineArgs.problem + ' \ncould not b…
540 if cmdLineArgs.problem != 'NULL':
542 Field(file.fileName, config.fieldNames[cmdLineArgs.problem]['field '+str(f)]))
546 …sys.exit('The problem you specified on the command line: ' + cmdLineArgs.problem + ' \ncould not b…

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