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+# TODO
+
+## Skämskudde
+ - [ ] Ändra namn på variabler och funktioner så att det följer style-guide
+ - [ ] Skriv tester
+
+## Coding
+* Add new Laplace opertor to DiffOps, probably named WaveEqOp(?!!?)
+ - [ ] Add 1D operators (D1, D2, e, d ... ) as TensorOperators
+ - [ ] Create a struct that bundles the necessary Tensor operators for solving the wave equation.
+ - [ ] Use traits like IndexStyle, IndexLinear, IndexCartesian to differentiate
+    TensorMappings that are flexible in size and those that are fixed in size
+ - [x] Move Laplace tensor operator to different package
+ - [x] Remove grid as a property of the Laplace tensor operator
+
+## Reasearch and thinking
+ - [ ] Redo all Tensor applys to take Vararg instead of tuple of Index?
+    Have we been down that road before? Is there any reason not to do this?
+ - [ ] Check how the native julia doc generator works
+    * Check if Vidars design docs fit in there
+ - [ ] Formalize how range_size() and domain_size() are supposed to work in TensorMappings where dim(domain) != dim(range) (add tests or document)
+ - [x] Should there be some kind of collection struct for SBP operators (as TensorOperators), providing easy access to all parts (D2, e, d , -> YES!
+ H.. H_gamma etc.)
+ - [x] Is "missing" a good value for unknown dimension sizes (of e*g for example)
+
+# Wrap up task
+ - [ ] Kolla att vi har @inbounds och @propagate_inbounds på rätt ställen
+ - [ ] Kolla att vi gör boundschecks överallt och att de är markerade med @boundscheck
+ - [ ] Kolla att vi har @inline på rätt ställen
+ - [ ] Profilera
+
+
+# Old stuff todos (Are these still relevant?)
+Borde det finns motsvarande apply_stencil för apply_quadrature,
+apply_boundary_value och apply_normal_derivative?
+
+Borde man alltid skicka in N som parameter i apply_2nd_derivative, t.ex som i
+apply_quadrature?
+
+Just nu agerar apply_normal_derivative, apply_boundary_value på inte på v som
+en vektor, utan randvärdet plockas ut utanför. Känns inte konsistent med övrig
+design
+
+Specificera operatorer i TOML eller något liknande?
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