Reference documentation for deal.II version 9.5.0
\(\newcommand{\dealvcentcolon}{\mathrel{\mathop{:}}}\) \(\newcommand{\dealcoloneq}{\dealvcentcolon\mathrel{\mkern-1.2mu}=}\) \(\newcommand{\jump}[1]{\left[\!\left[ #1 \right]\!\right]}\) \(\newcommand{\average}[1]{\left\{\!\left\{ #1 \right\}\!\right\}}\)
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internal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 > Member List

This is the complete list of members for internal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >, including all inherited members.

apply(const Number2 *DEAL_II_RESTRICT shape_data, const Number *in, Number *out) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
EvaluatorTensorProduct()internal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
EvaluatorTensorProduct(const AlignedVector< Number2 > &shape_values, const unsigned int n_rows=0, const unsigned int n_columns=0)internal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
EvaluatorTensorProduct(const AlignedVector< Number2 > &shape_values, const AlignedVector< Number2 > &shape_gradients, const AlignedVector< Number2 > &shape_hessians, const unsigned int n_rows=0, const unsigned int n_columns=0)internal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
gradients(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
gradients_one_line(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
hessians(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
hessians_one_line(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
n_columnsinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >private
n_rowsinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >private
shape_gradientsinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >private
shape_hessiansinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >private
shape_valuesinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >private
values(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
values_one_line(const Number in[], Number out[]) constinternal::EvaluatorTensorProduct< evaluate_evenodd, dim, 0, 0, Number, Number2 >inline
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