Searched refs:gradient (Results 1 – 21 of 21) sorted by relevance
| /libCEED/tests/ |
| H A D | t305-basis.c | 16 const CeedScalar *interpolation, *gradient, *quadrature_weights; in main() local 23 CeedBasisGetGrad(basis, &gradient); in main() 30 sum_k += gradient[p * k + i] * quadrature_weights[k] * gradient[p * k + j]; in main()
|
| /libCEED/examples/fluids/qfunctions/ |
| H A D | utils.h | 64 CEED_QFUNCTION_HELPER void Curl3(const CeedScalar gradient[3][3], CeedScalar v[3]) { in Curl3() 65 v[0] = gradient[2][1] - gradient[1][2]; in Curl3() 66 v[1] = gradient[0][2] - gradient[2][0]; in Curl3() 67 v[2] = gradient[1][0] - gradient[0][1]; in Curl3()
|
| /libCEED/python/tests/output/ |
| H A D | test_523.out | 14 EvalMode: gradient 34 EvalMode: gradient
|
| H A D | test_413.out | 6 EvalMode: "gradient"
|
| H A D | test_402.out | 10 EvalMode: "gradient"
|
| H A D | test_504.out | 13 EvalMode: gradient
|
| /libCEED/tests/output/ |
| H A D | t523-operator-f.out | 14 EvalMode: gradient 34 EvalMode: gradient
|
| H A D | t523-operator.out | 17 EvalMode: gradient 37 EvalMode: gradient
|
| H A D | t504-operator-f.out | 13 EvalMode: gradient
|
| H A D | t413-qfunction-f.out | 6 EvalMode: "gradient"
|
| H A D | t413-qfunction.out | 6 EvalMode: "gradient"
|
| H A D | t504-operator.out | 14 EvalMode: gradient
|
| /libCEED/julia/LibCEED.jl/docs/src/ |
| H A D | UserQFunctions.md | 107 this case $B$ represents the basis gradient matrix, and $D$ represents 147 this array stores the gradient of the trial function at each quadrature point. 179 Then, the gradient of $u$ at the given quadrature point is loaded as a
|
| /libCEED/julia/LibCEED.jl/test/ |
| H A D | runtests.jl | 324 EvalMode: "gradient" 333 EvalMode: "gradient\""""
|
| /libCEED/examples/solids/ |
| H A D | index.md | 66 …ariables are constituted by the vector displacement field $\bm u$, and its gradient $\nabla \bm u$. 83 …nsity functional $\Phi(\bm \epsilon) \in \mathbb R$ and obtain the strain energy from its gradient, 105 The constitutive law (stress-strain relationship) is therefore given by its gradient, 237 where the $_X$ in $\nabla_X$ indicates that the gradient is calculated with respect to the initial … 248 … in the initial configuration, and $\bm{F} = \bm I_3 + \nabla_X \bm u$ is the deformation gradient.
|
| /libCEED/examples/nek/bps/ |
| H A D | bps.usr | 422 C 3D transpose of local gradient 441 C 3D transpose of local gradient 1329 C Scalar conjugate gradient iteration for solution of uncoupled 1438 C Vector conjugate gradient matvec for solution of uncoupled 1505 C Vector conjugate gradient matvec for solution of BP1 (mass matrix) 1578 C Vector conjugate gradient matvec for solution of BP3 (stiffness matrix) 1612 C Vector conjugate gradient matvec for solution of uncoupled
|
| /libCEED/julia/LibCEED.jl/src/ |
| H A D | UserQFunction.jl | 225 weight times the Jacobian determinant. The mesh Jacobian (the gradient of the nodal mesh
|
| H A D | Basis.jl | 500 Get the gradient matrix of the given [`Basis`](@ref). Returns a tensor of size
|
| /libCEED/examples/python/ |
| H A D | tutorial-3-basis.ipynb | 251 …"* In the following example, we demonstrate the application of the gradient of the shape functions…
|
| /libCEED/examples/fluids/ |
| H A D | index.md | 600 …gradient unit vector. This density gradient unit vector is defined as $\hat{\bm j} = \frac{\nabla …
|
| /libCEED/doc/sphinx/source/ |
| H A D | libCEEDapi.md | 30 …r-valued) test function $\bm v$ and $\bm f_1$ all terms which multiply its gradient $\nabla \bm v$. 286 A 3-dimensional gradient on four components would therefore mean the field has a size of 12\.
|