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Add todo regarding traits and symmetric tensor mappings
author Vidar Stiernström <vidar.stiernstrom@it.uu.se>
date Mon, 22 Jun 2020 23:22:08 +0200
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children 81e8968e222c
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1 # TODO
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3 ## Skämskudde
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4 - [ ] Ändra namn på variabler och funktioner så att det följer style-guide
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5 - [ ] Skriv tester
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7 ## Coding
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8 - [ ] Add new Laplace opertor to DiffOps, probably named WaveEqOp(?!!?)
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9 - [ ] Add 1D operators (D1, D2, e, d ... ) as TensorOperators
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10 - [ ] Create a struct that bundles the necessary Tensor operators for solving the wave equation.
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11 - [ ] Use traits like IndexStyle, IndexLinear, IndexCartesian to differentiate
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12 TensorMappings that are flexible in size and those that are fixed in size
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13 - [x] Move Laplace tensor operator to different package
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14 - [x] Remove grid as a property of the Laplace tensor operator
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16 ## Reasearch and thinking
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17 - [ ] Redo all Tensor applys to take Vararg instead of tuple of Index?
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18 Have we been down that road before? Is there any reason not to do this?
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19 - [ ] Check how the native julia doc generator works
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20 - [ ] Check if Vidars design docs fit in there
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21 - [ ] Formalize how range_size() and domain_size() are supposed to work in TensorMappings where dim(domain) != dim(range) (add tests or document)
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22 - [x] Should there be some kind of collection struct for SBP operators (as TensorOperators), providing easy access to all parts (D2, e, d , -> YES!
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23 H.. H_gamma etc.)
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24 - [x] Is "missing" a good value for unknown dimension sizes (of `e*g` for example)
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25 - [] Add traits for symmetric tensor mappings such that apply_transpoe = apply for all such mappings
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27 # Wrap up task
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29 - [ ] Kolla att vi har @inbounds och @propagate_inbounds på rätt ställen
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30 - [ ] Kolla att vi gör boundschecks överallt och att de är markerade med @boundscheck
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31 - [ ] Kolla att vi har @inline på rätt ställen
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32 - [ ] Profilera
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35 # Old stuff todos (Are these still relevant?)
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36 Borde det finns motsvarande apply_stencil för apply_quadrature,
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37 apply_boundary_value och apply_normal_derivative?
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39 Borde man alltid skicka in N som parameter i apply_2nd_derivative, t.ex som i
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40 apply_quadrature?
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42 Just nu agerar apply_normal_derivative, apply_boundary_value på inte på v som
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43 en vektor, utan randvärdet plockas ut utanför. Känns inte konsistent med övrig
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44 design
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46 Specificera operatorer i TOML eller något liknande?