remove parallelization reference

Author: Datseris

docs/src/index.md

@@ -96,26 +96,6 @@ current_states
 ArbitrarySteppable
 ```
 
-## Parallelization
-
-Since `DynamicalSystem`s are mutable, one needs to copy them before parallelizing, to avoid having to deal with complicated race conditions etc. The simplest way is with `deepcopy`. Here is an example block that shows how to parallelize calling some expensive function (e.g., calculating the Lyapunov exponent) over a parameter range using `Threads`:
-
-```julia
-ds = DynamicalSystem(f, u, p) # some concrete implementation
-parameters = 0:0.01:1
-outputs = zeros(length(parameters))
-
-# Since `DynamicalSystem`s are mutable, we need to copy to parallelize
-systems = [deepcopy(ds) for _ in 1:Threads.nthreads()-1]
-pushfirst!(systems, ds) # we can save 1 copy
-
-Threads.@threads for i in eachindex(parameters)
-    system = systems[Threads.threadid()]
-    set_parameter!(system, 1, parameters[i])
-    outputs[i] = expensive_function(system, args...)
-end
-```
-
 ## Advanced example
 
 This is an advanced example of making an in-place implementation of coupled [standard maps](https://en.wikipedia.org/wiki/Standard_map). It will utilize a handcoded Jacobian, a sparse matrix for the Jacobinan, a default initial Jacobian matrix, as well as function-like-objects as the dynamic rule.