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DOC: name TimeVaryingFunction #254

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DOC: name TimeVaryingFunction #254

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b81b883
name TimeVaryingFunction; fixes #253
gdmcbain Jan 25, 2024
d981e93
DOC: grammar typo
gdmcbain Jan 25, 2024
4da5153
name SampledData too #253
gdmcbain Jan 25, 2024
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6 changes: 3 additions & 3 deletions docs/src/tutorials/input_component.md
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ using OrdinaryDiffEq
D = Differential(t)

function System(f; name)
src = TimeVaryingFunction(f)
@named src = TimeVaryingFunction(f)

vars = @variables f(t)=0 x(t)=0 dx(t)=0 ddx(t)=0
pars = @parameters m=10 k=1000 d=1
Expand Down Expand Up @@ -105,11 +105,11 @@ Additional code could be added to resolve this issue, for example by using a `Re

## `SampledData` Component

To resolve the issues presented above, the `ModelingToolkitStandardLibrary.Blocks.SampledData` component can be used which allows for a resusable `ODESystem` and self contained data which ensures a solution which remains valid for it's lifetime. Now it's possible to also parallelize the call to `solve()`.
To resolve the issues presented above, the `ModelingToolkitStandardLibrary.Blocks.SampledData` component can be used which allows for a resusable `ODESystem` and self contained data which ensures a solution which remains valid for its lifetime. Now it's possible to also parallelize the call to `solve()`.

```julia
function System(; name)
src = SampledData(Float64)
@named src = SampledData(Float64)

vars = @variables f(t)=0 x(t)=0 dx(t)=0 ddx(t)=0
pars = @parameters m=10 k=1000 d=1
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