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Reference documentation for deal.II version 9.2.0
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#include <deal.II/matrix_free/tensor_product_kernels.h>
Public Member Functions | |
| EvaluatorTensorProduct () | |
| EvaluatorTensorProduct (const AlignedVector< Number2 > &shape_values, const AlignedVector< Number2 > &shape_gradients, const AlignedVector< Number2 > &shape_hessians, const unsigned int n_rows, const unsigned int n_columns) | |
| template<int direction, bool contract_over_rows, bool add> | |
| void | values (const Number *in, Number *out) const |
| template<int direction, bool contract_over_rows, bool add> | |
| void | gradients (const Number *in, Number *out) const |
| template<int direction, bool contract_over_rows, bool add> | |
| void | hessians (const Number *in, Number *out) const |
| template<int direction, bool contract_over_rows, bool add> | |
| void | values_one_line (const Number in[], Number out[]) const |
| template<int direction, bool contract_over_rows, bool add> | |
| void | gradients_one_line (const Number in[], Number out[]) const |
| template<int direction, bool contract_over_rows, bool add> | |
| void | hessians_one_line (const Number in[], Number out[]) const |
| template<int direction, bool contract_over_rows, bool add, bool one_line = false> | |
| void | apply (const Number2 *DEAL_II_RESTRICT shape_data, const Number *in, Number *out) const |
| template<int face_direction, bool contract_onto_face, bool add, int max_derivative> | |
| void | apply_face (const Number *DEAL_II_RESTRICT in, Number *DEAL_II_RESTRICT out) const |
Public Attributes | |
| const Number2 * | shape_values |
| const Number2 * | shape_gradients |
| const Number2 * | shape_hessians |
| const unsigned int | n_rows |
| const unsigned int | n_columns |
Static Public Attributes | |
| static constexpr unsigned int | n_rows_of_product |
| static constexpr unsigned int | n_columns_of_product |
Internal evaluator for shape function using the tensor product form of the basis functions. The same as the other templated class but without making use of template arguments and variable loop bounds instead.
| dim | Space dimension in which this class is applied |
| Number | Abstract number type for input and output arrays |
| Number2 | Abstract number type for coefficient arrays (defaults to same type as the input/output arrays); must implement operator* with Number and produce Number as an output to be a valid type |
Definition at line 529 of file tensor_product_kernels.h.
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Empty constructor. Does nothing. Be careful when using 'values' and related methods because they need to be filled with the other constructor
Definition at line 540 of file tensor_product_kernels.h.
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Constructor, taking the data from ShapeInfo
Definition at line 551 of file tensor_product_kernels.h.
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Definition at line 580 of file tensor_product_kernels.h.
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Definition at line 587 of file tensor_product_kernels.h.
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Definition at line 594 of file tensor_product_kernels.h.
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Definition at line 601 of file tensor_product_kernels.h.
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Definition at line 609 of file tensor_product_kernels.h.
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Definition at line 617 of file tensor_product_kernels.h.
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Definition at line 652 of file tensor_product_kernels.h.
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Definition at line 801 of file tensor_product_kernels.h.
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staticconstexpr |
Definition at line 531 of file tensor_product_kernels.h.
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staticconstexpr |
Definition at line 533 of file tensor_product_kernels.h.
| const Number2* internal::EvaluatorTensorProduct< evaluate_general, dim, 0, 0, Number, Number2 >::shape_values |
Definition at line 640 of file tensor_product_kernels.h.
| const Number2* internal::EvaluatorTensorProduct< evaluate_general, dim, 0, 0, Number, Number2 >::shape_gradients |
Definition at line 641 of file tensor_product_kernels.h.
| const Number2* internal::EvaluatorTensorProduct< evaluate_general, dim, 0, 0, Number, Number2 >::shape_hessians |
Definition at line 642 of file tensor_product_kernels.h.
| const unsigned int internal::EvaluatorTensorProduct< evaluate_general, dim, 0, 0, Number, Number2 >::n_rows |
Definition at line 643 of file tensor_product_kernels.h.
| const unsigned int internal::EvaluatorTensorProduct< evaluate_general, dim, 0, 0, Number, Number2 >::n_columns |
Definition at line 644 of file tensor_product_kernels.h.