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Searched refs:gradient (Results 1 – 21 of 21) sorted by relevance

/libCEED/tests/
H A Dt305-basis.c16 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 Dutils.h64 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 Dtest_523.out14 EvalMode: gradient
34 EvalMode: gradient
H A Dtest_413.out6 EvalMode: "gradient"
H A Dtest_402.out10 EvalMode: "gradient"
H A Dtest_504.out13 EvalMode: gradient
/libCEED/tests/output/
H A Dt523-operator-f.out14 EvalMode: gradient
34 EvalMode: gradient
H A Dt523-operator.out17 EvalMode: gradient
37 EvalMode: gradient
H A Dt504-operator-f.out13 EvalMode: gradient
H A Dt413-qfunction-f.out6 EvalMode: "gradient"
H A Dt413-qfunction.out6 EvalMode: "gradient"
H A Dt504-operator.out14 EvalMode: gradient
/libCEED/julia/LibCEED.jl/docs/src/
H A DUserQFunctions.md107 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 Druntests.jl324 EvalMode: "gradient"
333 EvalMode: "gradient\""""
/libCEED/examples/solids/
H A Dindex.md66 …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 Dbps.usr422 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 DUserQFunction.jl225 weight times the Jacobian determinant. The mesh Jacobian (the gradient of the nodal mesh
H A DBasis.jl500 Get the gradient matrix of the given [`Basis`](@ref). Returns a tensor of size
/libCEED/examples/python/
H A Dtutorial-3-basis.ipynb251 …"* In the following example, we demonstrate the application of the gradient of the shape functions…
/libCEED/examples/fluids/
H A Dindex.md600gradient unit vector. This density gradient unit vector is defined as $\hat{\bm j} = \frac{\nabla …
/libCEED/doc/sphinx/source/
H A DlibCEEDapi.md30 …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\.