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ADVectorDiffusion.C
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9 
10 #include "ADVectorDiffusion.h"
11 
13 
16 {
18  params.addClassDescription(
19  "The Laplacian operator ($-\\nabla \\cdot \\nabla \\vec{u}$), with the weak "
20  "form of $(\\nabla \\vec{\\phi_i}, \\nabla \\vec{u_h})$. The Jacobian is computed using "
21  "automatic differentiation");
22  return params;
23 }
24 
26  : ADVectorKernel(parameters)
27 {
28 }
29 
30 ADReal
32 {
33  return _grad_u[_qp].contract(_grad_test[_i][_qp]);
34 }
const ADTemplateVariableTestGradient< T > & _grad_test
gradient of the test function
Definition: ADKernel.h:86
The main MOOSE class responsible for handling user-defined parameters in almost every MOOSE system...
registerMooseObject("MooseApp", ADVectorDiffusion)
static InputParameters validParams()
ADVectorDiffusion(const InputParameters &parameters)
unsigned int _i
current index for the test function
Definition: KernelBase.h:57
DualReal ADReal
Definition: ADRealForward.h:14
static InputParameters validParams()
Definition: ADKernel.C:23
const ADTemplateVariableGradient< T > & _grad_u
Holds the solution gradient at the current quadrature points.
Definition: ADKernel.h:95
virtual ADReal computeQpResidual() override
Compute this Kernel&#39;s contribution to the residual at the current quadrature point.
void addClassDescription(const std::string &doc_string)
This method adds a description of the class that will be displayed in the input file syntax dump...
unsigned int _qp
The current quadrature point index.
Definition: KernelBase.h:42