| /petsc/doc/manual/ |
| H A D | regressor.md | 12 model, following standard parlance in the machine-learning community. 28 Before a regressor can be used to make predictions, the model must be fitted using an initial set o… 29 Once a fitted model has been obtained, it can be used to predict target values for new observations. 31 Fitting (or "training") a model is a relatively computationally intensive task that generally invol… 32 optimization problem (often using `TAO` solvers) to determine the model parameters, whereas making … 41 (`Mat`) and a target vector (`Vec`) against which to fit the model. 47 By "linear" we mean that the model $f(x, \theta)$ is linear in its coefficients $\theta$ 78 nonlinear, and optimization solver methods used in fitting the model 99 Finally, after fitting the regressor, the user can compute model 149 constructs a linear model to reduce the sum of squared differences [all …]
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| H A D | dmbase.md | 9 mechanism for translating the problem specification of a model and its discretization to the langua… 12 Some of the model 35 As discussed earlier, a `DM` can construct vectors and matrices appropriate for a model and discret…
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| /petsc/src/ksp/ksp/guess/impls/fischer/ |
| H A D | fischer.c | 338 PetscInt nmax = 2, model[2]; in KSPGuessSetFromOptions_Fischer() local 342 model[0] = ITG->method; in KSPGuessSetFromOptions_Fischer() 343 model[1] = ITG->maxl; in KSPGuessSetFromOptions_Fischer() 345 …scher_model", "Model type and dimension of basis", "KSPGuessFischerSetModel", model, &nmax, &flg)); in KSPGuessSetFromOptions_Fischer() 346 if (flg) PetscCall(KSPGuessFischerSetModel(guess, model[0], model[1])); in KSPGuessSetFromOptions_Fischer() 390 PetscErrorCode KSPGuessFischerSetModel(KSPGuess guess, PetscInt model, PetscInt size) in KSPGuessFischerSetModel() argument 394 PetscValidLogicalCollectiveInt(guess, model, 2); in KSPGuessFischerSetModel() 395 …PetscTryMethod(guess, "KSPGuessFischerSetModel_C", (KSPGuess, PetscInt, PetscInt), (guess, model, … in KSPGuessFischerSetModel() 399 static PetscErrorCode KSPGuessFischerSetModel_Fischer(KSPGuess guess, PetscInt model, PetscInt size) in KSPGuessFischerSetModel_Fischer() argument 404 if (model == 1) { in KSPGuessFischerSetModel_Fischer() [all …]
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| /petsc/share/petsc/datafiles/matrices/ |
| H A D | LFAT5.mtx | 13 % kind: model reduction problem 16 % Primary matrix in this model reduction problem is the Oberwolfach K matrix
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| /petsc/src/ksp/ksp/tutorials/ |
| H A D | ex42-fsschur.opts | 10 -model 3
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| H A D | ex42-mgschur_nestedfs.opts | 37 -model 3
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| H A D | ex42-mgschur.opts | 43 -model 3
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| H A D | ex42-mgfs.opts | 36 -model 3
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| H A D | ex42-mgfs2.opts | 45 -model 3
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| /petsc/src/dm/impls/plex/generators/tetgen/ |
| H A D | tetgenerate.cxx | 230 ego model, geom; in DMPlexGenerate_Tetgen() local 238 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexGenerate_Tetgen() 239 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, nullptr, &Nb, &bodies, &senses)); in DMPlexGenerate_Tetgen() 243 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexGenerate_Tetgen() 244 … PetscCall(EGlite_getTopology(model, &geom, &oclass, &mtype, nullptr, &Nb, &bodies, &senses)); in DMPlexGenerate_Tetgen() 509 ego model, geom; in DMPlexRefine_Tetgen() local 517 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexRefine_Tetgen() 518 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, nullptr, &Nb, &bodies, &senses)); in DMPlexRefine_Tetgen() 522 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexRefine_Tetgen() 523 … PetscCall(EGlite_getTopology(model, &geom, &oclass, &mtype, nullptr, &Nb, &bodies, &senses)); in DMPlexRefine_Tetgen()
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| /petsc/doc/tutorials/ |
| H A D | guide_to_examples_by_physics.md | 6 …rical tools, such as different discretizations, meshing strategy, closure model, or parameter regi… 16 is used to model electrostatics, steady-state diffusion, and other physical processes. Many PETSc e… 101 is used to model heat flow, time-dependent diffusion, and other physical processes.
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| /petsc/src/dm/impls/plex/ |
| H A D | plexegads.c | 480 PetscErrorCode DMSnapToGeomModel_EGADS_Internal(DM dm, PetscInt p, ego model, PetscInt bodyID, Pets… in DMSnapToGeomModel_EGADS_Internal() argument 501 PetscCall(EGlite_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMSnapToGeomModel_EGADS_Internal() 503 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMSnapToGeomModel_EGADS_Internal() 584 ego model; in DMSnapToGeomModel_EGADS() local 599 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMSnapToGeomModel_EGADS() 608 …PetscCall(DMSnapToGeomModel_EGADS_Internal(dm, p, model, bodyID, faceID, edgeID, mcoords, gcoords,… in DMSnapToGeomModel_EGADS() 614 PetscErrorCode DMPlexGeomPrintModel_Internal(ego model, PetscBool islite) in DMPlexGeomPrintModel_Internal() argument 624 PetscCall(EGlite_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMPlexGeomPrintModel_Internal() 626 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMPlexGeomPrintModel_Internal() 871 PetscErrorCode DMPlexCreateGeom_Internal(MPI_Comm comm, ego context, ego model, DM *newdm, PetscBoo… in DMPlexCreateGeom_Internal() argument [all …]
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| /petsc/src/ts/tutorials/ |
| H A D | ex11.c | 90 Model model; member 931 Model mod = user->model; in SetInitialCondition() 967 Model mod = user->model; in MonitorVTK() 1161 …PetscCall((*user->model->errorIndicator)(dim, cg->volume, user->model->physics->dof, pointVal, poi… in adaptToleranceFVMSetUp() 1219 Model mod = tctx->user->model; in Transfer() 1262 PetscCall(PetscNew(&user->model)); in main() 1263 PetscCall(PetscNew(&user->model->physics)); in main() 1264 mod = user->model; in main() 1429 PetscCall(PetscDSSetRiemannSolver(prob, 0, user->model->physics->riemann)); in main() 1430 PetscCall(PetscDSSetContext(prob, 0, user->model->physics)); in main() [all …]
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| /petsc/src/ksp/ksp/interface/ |
| H A D | itcl.c | 112 PetscErrorCode KSPSetUseFischerGuess(KSP ksp, PetscInt model, PetscInt size) in KSPSetUseFischerGuess() argument 118 PetscValidLogicalCollectiveInt(ksp, model, 2); in KSPSetUseFischerGuess() 122 PetscCall(KSPGuessFischerSetModel(guess, model, size)); in KSPSetUseFischerGuess() 341 PetscInt indx, model[2] = {0, 0}, nmax, max_it; in KSPSetFromOptions() local 450 …her's algorithm or its variants for initial guess", "KSPSetUseFischerGuess", model, &nmax, &flag)); in KSPSetFromOptions() 453 PetscCall(KSPSetUseFischerGuess(ksp, model[0], model[1])); in KSPSetFromOptions()
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| /petsc/doc/install/ |
| H A D | external_software.md | 15 …olkit) A parallel computing platform and application programming interface model created by NVIDIA. 20 - [HDF5](http://portal.hdfgroup.org/display/support) A data model, library, and file format for sto… 22 - [Kokkos](https://github.com/kokkos/kokkos) A programming model in C++ for writing performance por…
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| /petsc/src/dm/impls/plex/generators/ctetgen/ |
| H A D | ctetgenerate.c | 214 ego model, geom; in DMPlexGenerate_CTetgen() local 220 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexGenerate_CTetgen() 221 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMPlexGenerate_CTetgen() 489 ego model, geom; in DMPlexRefine_CTetgen() local 495 PetscCall(PetscContainerGetPointer(modelObj, &model)); in DMPlexRefine_CTetgen() 496 PetscCall(EG_getTopology(model, &geom, &oclass, &mtype, NULL, &Nb, &bodies, &senses)); in DMPlexRefine_CTetgen()
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| /petsc/doc/community/meetings/2025/ |
| H A D | index.md | 88 …model, using the IBAMR and libmesh frameworks, of a tomopterid parapodium to explore the emergent … 100 …model of magnetized plasmas with up to six dimensions, 3X in physical space and 3V in velocity spa… 150 …model predictions but use highly simplified descriptions of cardiac anatomy and physiology. I will… 160 …od while having a simple implementation within the existing twophase RANS model, which has been us… 204 …, and then numerically implementing the complex rheologies in software to model the time-dependent…
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| /petsc/src/dm/impls/plex/tutorials/ |
| H A D | ex18.c | 69 PetscGeom model, *bodies, *fobjs; in main() local 101 PetscCall(PetscContainerGetPointer(modelObj, &model)); in main()
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| H A D | ex19.c | 85 PetscGeom model, *bodies, *fobjs; in main() local 158 PetscCall(PetscContainerGetPointer(modelObj, &model)); in main()
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| /petsc/doc/community/meetings/2023/ |
| H A D | index.md | 207 open-source, global ocean model and is one component within the Department 209 land-ice models. In this work, a new formulation for the ocean model is 256 coupling it with a deforming Lagrangian elastic body to model the 273 performance comparisons and provide a demo to showcase the proposed model's effectiveness 287 electrostatic and gravitational Vlasov-Poisson(-Landau) model using the 291 Particle-In-Cell (PETSc-PIC) model is a highly scalable, 366 at river intersections, model water flows on a river network. The 394 magnetohydrodynamic (MHD) model, which ignores the plasma inertia. In this 395 work, we consider a regularized quasi-static MHD model for force-free 403 model on a 3D structured mesh. The MFD spatial discretization is coupled [all …]
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| /petsc/src/binding/petsc4py/src/petsc4py/PETSc/ |
| H A D | Regressor.pyx | 267 """Get a vector of the fitted coefficients from a linear regression model. 281 """Get the intercept from a linear regression model.
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| /petsc/share/petsc/datafiles/meshes/ |
| H A D | testcase3D.cas | 26 (rp-transition-model none) 151 (wall-film/model-parameters ()) 251 (ablation/model 1) 259 (perforated/model-setup ((-1 1 #t #t #t (-1 1 0 0)))) 260 (perforated/model-setup-valid? ()) 262 (perforated/model-method 0) 263 (perforated/model-on? #f) 357 (premix-c-eqn/turb-flame-speed-model "zimont") 358 (premix-g-eqn/turb-flame-speed-model "peters") 497 (spark/flame-speed-model 1) [all …]
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| H A D | nozzle.stp | 544 'DISTANCE_ACCURACY_VALUE','Maximum Tolerance applied to model');
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| /petsc/doc/overview/ |
| H A D | gpu_roadmap.md | 13 PETSc uses a single source programming model where solver back-ends are selected as
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| /petsc/src/tao/leastsquares/tutorials/ |
| H A D | tomographyGenerateData.m | 32 % Ground truth and model
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