4.2.3.1 pde.grids.operators.cartesian module
This module implements differential operators on Cartesian grids
make a Laplace operator on a Cartesian grid |
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make a gradient operator on a Cartesian grid |
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make a divergence operator on a Cartesian grid |
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make a vector gradient operator on a Cartesian grid |
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make a vector Laplacian on a Cartesian grid |
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make a tensor divergence operator on a Cartesian grid |
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make a operator that solves Poisson's equation |
- make_divergence(grid, backend='auto')[source]
make a divergence operator on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the divergence operator. If backend=’auto’, a suitable backend is chosen automatically.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_gradient(grid, backend='auto')[source]
make a gradient operator on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the gradient operator. If backend=’auto’, a suitable backend is chosen automatically.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_laplace(grid, backend='auto')[source]
make a Laplace operator on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the Laplace operator. If backend=’auto’, a suitable backend is chosen automatically.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_poisson_solver(bcs, method='auto')[source]
make a operator that solves Poisson’s equation
- Parameters:
bcs (
Boundaries
) – {ARG_BOUNDARIES_INSTANCE}method (str) – Method used for calculating the tensor divergence operator. If method=’auto’, a suitable method is chosen automatically.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_tensor_divergence(grid, backend='numba')[source]
make a tensor divergence operator on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the tensor divergence operator.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_vector_gradient(grid, backend='numba')[source]
make a vector gradient operator on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the vector gradient operator.
- Returns:
A function that can be applied to an array of values
- Return type:
- make_vector_laplace(grid, backend='numba')[source]
make a vector Laplacian on a Cartesian grid
- Parameters:
grid (
CartesianGrid
) – The grid for which the operator is createdbackend (str) – Backend used for calculating the vector Laplace operator.
- Returns:
A function that can be applied to an array of values
- Return type: