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GooseFEM 1.4.1.dev2+g78f16df
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Toolbox to perform finite element computations. More...
Namespaces | |
| namespace | array_type |
| Container type. | |
| namespace | Element |
| Element quadrature and interpolation. | |
| namespace | Iterate |
| Support function for iterations in end-user programs. | |
| namespace | Mesh |
| Generic mesh operations, and simple mesh definitions. | |
| namespace | Tyings |
| Tools to store and apply nodal/DOF tyings. | |
Classes | |
| class | Matrix |
| Sparse matrix. More... | |
| class | MatrixBase |
| CRTP base class for a matrix. More... | |
| class | MatrixDiagonal |
| Diagonal matrix. More... | |
| class | MatrixDiagonalBase |
| CRTP base class for a partitioned matrix with tying. More... | |
| class | MatrixDiagonalPartitioned |
| Diagonal and partitioned matrix. More... | |
| class | MatrixPartitioned |
| Sparse matrix partitioned in an unknown and a prescribed part. More... | |
| class | MatrixPartitionedBase |
| CRTP base class for a partitioned matrix. More... | |
| class | MatrixPartitionedSolver |
Solve \( x_u = A_{uu}^{-1} (b_u - A_{up} * x_p) \) for A of the MatrixPartitioned() class. More... | |
| class | MatrixPartitionedTyings |
| Sparse matrix from with dependent DOFs are eliminated, and the remaining (small) independent system is partitioned in an unknown and a prescribed part. More... | |
| class | MatrixPartitionedTyingsBase |
| CRTP base class for a partitioned matrix with tying. More... | |
| class | MatrixPartitionedTyingsSolver |
| Solver for MatrixPartitionedTyings(). More... | |
| class | MatrixSolver |
Solve \( x = A^{-1} b \), for A of the GooseFEM::Matrix() class. More... | |
| class | MatrixSolverBase |
| CRTP base class for a solver class. More... | |
| class | MatrixSolverPartitionedBase |
| CRTP base class for a extra functions for a partitioned solver class. More... | |
| class | MatrixSolverSingleBase |
| CRTP base class for a solver class. More... | |
| class | Vector |
| Class to switch between storage types. More... | |
| class | VectorPartitioned |
| Class to switch between storage types, based on a mesh and DOFs that are partitioned in: More... | |
| class | VectorPartitionedTyings |
| Class to switch between storage types. More... | |
Functions | |
| template<class T , class R > | |
| void | asTensor (const T &arg, R &ret) |
| "Broadcast" a scalar stored in an array (e.g. | |
| template<class T , class S > | |
| auto | AsTensor (const T &arg, const S &shape) |
| "Broadcast" a scalar stored in an array (e.g. | |
| template<class T , class I , size_t L> | |
| auto | AsTensor (const T &arg, const I(&shape)[L]) |
| "Broadcast" a scalar stored in an array (e.g. | |
| template<size_t rank, class T > | |
| auto | AsTensor (const T &arg, size_t n) |
| "Broadcast" a scalar stored in an array (e.g. | |
| template<class T > | |
| auto | AsTensor (size_t rank, const T &arg, size_t n) |
| "Broadcast" a scalar stored in an array (e.g. | |
| template<class T > | |
| T | as3d (const T &arg) |
Zero-pad columns to a matrix until is that shape [m, 3]. | |
| template<class T > | |
| bool | is_unique (const T &arg) |
| Returns true is a list is unique (has not duplicate items). | |
| std::string | version () |
| Return version string, e.g. | |
| std::vector< std::string > | version_dependencies () |
| Return versions of this library and of all of its dependencies. | |
Toolbox to perform finite element computations.
Zero-pad columns to a matrix until is that shape [m, 3].
| arg | A "nodevec" (arg.shape(1) <= 3). |
ret.shape(1) == 3) Definition at line 223 of file Allocate.h.
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inline |
"Broadcast" a scalar stored in an array (e.g.
[r, s]) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: [r, s, i, j]).
| arg | An array with scalars. |
| shape | The shape of the added tensor dimensions (e.g.: [i, j]). |
Definition at line 176 of file Allocate.h.
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inline |
"Broadcast" a scalar stored in an array (e.g.
[r, s]) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: [r, s, i, j]).
| arg | An array with scalars. |
| shape | The shape of the added tensor dimensions (e.g.: [i, j]). |
Definition at line 167 of file Allocate.h.
"Broadcast" a scalar stored in an array (e.g.
[r, s]) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: [r, s, i, j]).
| arg | An array with scalars. |
| ret | Corresponding array with tensors. |
Definition at line 153 of file Allocate.h.
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inline |
"Broadcast" a scalar stored in an array (e.g.
[r, s]) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: [r, s, n, n]).
| rank | Number of tensor dimensions (number of dimensions to add to the input). |
| arg | An array with scalars. |
| n | The shape along each of the added dimensions. |
Definition at line 192 of file Allocate.h.
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inline |
"Broadcast" a scalar stored in an array (e.g.
[r, s]) to the same scalar of all tensor components of a tensor of certain rank (e.g. for rank 2: [r, s, n, n]).
| rank | Number of tensor dimensions (number of dimensions to add to the input). |
| arg | An array with scalars. |
| n | The shape along each of the added dimensions. |
Definition at line 209 of file Allocate.h.
Returns true is a list is unique (has not duplicate items).
| arg | Array-like. |
true if arg is unique. Definition at line 20 of file assertions.h.
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inline |