31 Eigen::MatrixXd
N = cellIpData.
N(mDofType);
34 gradient[mDofType] = N.transpose() * mFactor;
NeumannBc(NuTo::DofType dofType, Eigen::Matrix< double, TDim, 1 > factor)
Definition: NeumannBc.h:23
Similar to NuTo::CellData.
Definition: CellIpData.h:14
applies a neumann boundary condition
Definition: NeumannBc.h:20
NuTo::DofVector< double > ExternalLoad(const NuTo::CellIpData &cellIpData)
Definition: NeumannBc.h:29
Definition: Exception.h:6
gradient
Definition: NeuralNetwork.py:98
const Eigen::MatrixXd & N(DofType dofType) const
Returns a memoized copy of the N matrix for a given dof type.
Definition: CellIpData.h:77
Eigen::MatrixXd N(const Eigen::VectorXd &shapeFunctions, int numNodes, int dim)
Definition: Matrix.h:8