Update NonlinearFunctions.md

docs/src/basics/NonlinearFunctions.md

@@ -8,33 +8,6 @@ of pre-computed functions to speed up the calculations. This is offered via the
 
 ## Function Type Definitions
 
-### Function Choice Definitions
-
-The full interface available to the solvers is as follows:
-
-- `jac`: The Jacobian of the differential equation with respect to the state
-  variable `u` at a time `t` with parameters `p`.
-- `tgrad`: The gradient of the differential equation with respect to `t` at state
-  `u` with parameters `p`.
-- `paramjac`: The Jacobian of the differential equation with respect to `p` at
-  state `u` at time `t`.
-- `analytic`: Defines an analytical solution using `u0` at time `t` with `p`
-  which will cause the solvers to return errors. Used for testing.
-- `syms`: Allows you to name your variables for automatic names in plots and
-  other output.
-
-### NonlinearFunction
-
-```julia
-function NonlinearFunction{iip,true}(f;
-  analytic=nothing, # (u0,p)
-  jac=nothing, # (J,u,p) or (u,p)
-  jvp=nothing,
-  vjp=nothing,
-  jac_prototype=nothing, # Type for the Jacobian
-  sparsity=jac_prototype,
-  paramjac = nothing,
-  syms = nothing,
-  observed = DEFAULT_OBSERVED_NO_TIME,
-  colorvec = nothing)
+```@docs
+SciMLBase.NonlinearFunction
 ```