| /petsc/src/ksp/ksp/tutorials/ |
| H A D | ex55.c | 21 PetscScalar DD[8][8], DD2[8][8]; in main() local
69 DD[0][0] = 0.53333333333333321; in main()
70 DD[0][1] = 0.20000000000000001; in main()
71 DD[0][2] = -0.33333333333333331; in main()
72 DD[0][3] = 0.0000000000000000; in main()
73 DD[0][4] = -0.26666666666666666; in main()
74 DD[0][5] = -0.20000000000000001; in main()
75 DD[0][6] = 6.66666666666666796E-002; in main()
76 DD[0][7] = 6.93889390390722838E-018; in main()
77 DD[1][0] = 0.20000000000000001; in main()
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| H A D | ex54.c | 17 PetscScalar DD[4][4], DD2[4][4]; in main() local
113 for (jj = 0; jj < 4; jj++) DD[ii][jj] = alpha * DD1[ii][jj]; in main()
115 PetscCall(MatSetValues(Pmat, 4, idx, 4, idx, (const PetscScalar *)DD, ADD_VALUES)); in main()
117 PetscCall(MatSetValues(Amat, 4, idx, 4, idx, (const PetscScalar *)DD, ADD_VALUES)); in main()
121 for (jj = 0; jj < 4; jj++) DD[ii][jj] = alpha * DD2[ii][jj]; in main()
123 PetscCall(MatSetValues(Amat, 4, idx, 4, idx, (const PetscScalar *)DD, ADD_VALUES)); in main()
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| H A D | ex56.c | 34 PetscScalar DD[24][24], DD2[24][24]; in main() local
224 for (jx = 0; jx < 24; jx++) DD[ix][jx] = alpha * DD1[ix][jx]; in main()
228 … PetscCall(MatSetValuesBlocked(Amat, 8, idx, 8, idx, (const PetscScalar *)DD, ADD_VALUES)); in main()
236 … PetscCall(MatSetValues(Amat, 24, idx3, 24, idx3, (const PetscScalar *)DD, ADD_VALUES)); in main()
242 for (jx = 0; jx < 24; jx++) DD[ix][jx] = alpha * DD2[ix][jx]; in main()
245 … PetscCall(MatSetValuesBlocked(Amat, 8, idx, 8, idx, (const PetscScalar *)DD, ADD_VALUES)); in main()
253 … PetscCall(MatSetValues(Amat, 24, idx3, 24, idx3, (const PetscScalar *)DD, ADD_VALUES)); in main()
427 PetscScalar DD[] = { in elem_3d_elast_v_25() local
495 PetscCall(PetscArraycpy(dd, DD, 576)); in elem_3d_elast_v_25()
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| /petsc/share/petsc/matlab/ |
| H A D | laplacian.m | 12 % B. For example, B = {'DD' 'DN' 'P'} will Dirichlet boundary conditions
13 % ('DD') in the x-direction, Dirichlet-Neumann conditions ('DN') in the
15 % values for the elements of B are 'DD', 'DN', 'ND', 'NN' and 'P'.
31 % [lambda,V,A] = laplacian([100,45,55],{'DD' 'NN' 'P'}, 20);
33 % laplacian([100,45,55],{'DD' 'NN' 'P'}, 20);
35 % lambda = laplacian([100,45,55],{'DD' 'NN' 'P'}, 20);
38 % [~,V,~] = laplacian([200 200],{'DD' 'DN'},30);
45 % [lambda,V,A] = laplacian([13,10,6],{'DD' 'DN' 'P'},30);
140 B = {'DD'};
142 B = {'DD' 'DD'};
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| H A D | generatePetscTestFiles.m | 9 [~,~,A]=laplacian([nx,ny],{'DD' 'DD'});
11 %nz=2; n=nx*ny*nz; [~,~,A]=laplacian([nx,ny,nz],{'DD' 'DD' 'DD'});
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| /petsc/lib/petsc/bin/maint/abi-compliance-checker/modules/Internals/Styles/ |
| H A D | HeadersDiff.css | 47 .insert .cont { background-color: #0DD; }
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| /petsc/src/ts/utils/dmplexlandau/kokkos/ |
| H A D | landau.kokkos.cxx | 139 PetscReal *BB, *DD; in LandauKokkosStaticDataSet() local
151 DD = Tf[0]->T[1]; in LandauKokkosStaticDataSet()
181 …s::LayoutLeft, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged>> h_DD(DD, Nq * Nb * dim); in LandauKokkosStaticDataSet()
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| /petsc/src/ts/utils/dmplexlandau/ |
| H A D | plexland.c | 223 const PetscReal *const BB = Tf[0]->T[0], *const DD = Tf[0]->T[1]; in LandauFormJacobian_Internal() local
280 const PetscReal *Dq = &DD[qi * Nb * dim]; in LandauFormJacobian_Internal()
444 const PetscReal *BJq = &BB[qj * Nb], *DIq = &DD[qj * Nb * dim]; in LandauFormJacobian_Internal()
1768 const PetscReal *const DD = Tf[0]->T[1]; in CreateStaticData() local
1769 const PetscReal *Dq = &DD[qj * Nb * dim]; in CreateStaticData()
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| /petsc/doc/ |
| H A D | petsc.bib | 14084 % ***** DD and ML methods in Diffpack:
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