comparison Notes.md @ 1528:d641798539c2

Update notes on changes to `eval_on` and multiblock grids
author Jonatan Werpers <jonatan@werpers.com>
date Wed, 10 Apr 2024 09:01:54 +0200
parents 54ae92803b0b
children 8b9cdadb845a
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1525:2cee20ecc0bc 1528:d641798539c2
184 lmap(f, I) = LazyIndexableMap(f,I) 184 lmap(f, I) = LazyIndexableMap(f,I)
185 ``` 185 ```
186 186
187 The interaction of the map methods with the probable design of multiblock functions involving nested indecies complicate the picture slightly. It's clear at the time of writing how this would work with `Base.map`. Perhaps we want to implement our own versions of both eager and lazy map. 187 The interaction of the map methods with the probable design of multiblock functions involving nested indecies complicate the picture slightly. It's clear at the time of writing how this would work with `Base.map`. Perhaps we want to implement our own versions of both eager and lazy map.
188 188
189
190 ### 2024-04
191 MappedArrays.jl provides a simple array type and function like the description
192 of LazyMapping above. One option is to remove `eval_on` completely and rely on
193 destructuring arguments if handling the function input as a vector is
194 undesirable.
195
196 If we can let multi-block grids be iterators over grid points we could even
197 handle those by specialized implementation of `map` and `mappedarray`.
198
189 ## Multiblock implementation 199 ## Multiblock implementation
190 We want multiblock things to work very similarly to regular one block things. 200 We want multiblock things to work very similarly to regular one block things.
191 201
192 ### Grid functions 202 ### Grid functions
193 Should probably support a nested indexing so that we first have an index for subgrid and then an index for nodes on that grid. E.g `g[1,2][2,3]` or `g[3][43,21]`. 203 Should probably support a nested indexing so that we first have an index for
194 204 subgrid and then an index for nodes on that grid. E.g `g[1,2][2,3]` or
195 We could also possibly provide a combined indexing style `g[1,2,3,4]` where the first group of indices are for the subgrid and the remaining are for the nodes. 205 `g[3][43,21]`.
196 206
197 We should make sure the underlying buffer for gridfunctions are continuously stored and are easy to convert to, so that interaction with for example DifferentialEquations is simple and without much boilerplate. 207 We could also possibly provide a combined indexing style `g[1,2,3,4]` where
208 the first group of indices are for the subgrid and the remaining are for the
209 nodes.
210
211 We should make sure the underlying buffer for grid functions are continuously
212 stored and are easy to convert to, so that interaction with for example
213 DifferentialEquations is simple and without much boilerplate.
198 214
199 #### `map` and `collect` and nested indexing 215 #### `map` and `collect` and nested indexing
200 We need to make sure `collect`, `map` and a potential lazy map work correctly through the nested indexing. 216 We need to make sure `collect`, `map` and a potential lazy map work correctly
217 through the nested indexing. Also see notes on `eval_on` above.
218
219 Possibly this can be achieved by providing special nested indexing but not
220 adhering to an array interface at the top level, instead being implemented as
221 an iterator over the grid points. A custom trait can let map and other methods
222 know the shape (or structure) of the nesting so that they can efficiently
223 allocate result arrays.
201 224
202 ### Tensor applications 225 ### Tensor applications
203 Should behave as grid functions 226 Should behave as grid functions
204 227
205 ### LazyTensors 228 ### LazyTensors