Refactor: default_maxfun_dim_relative -> default_maxfun_relative

src/PRIMA.jl

@@ -85,8 +85,8 @@ const LinearConstraints = Tuple{AbstractMatrix{<:Real},AbstractVector{<:Real}}
 
 # Default settings.
 default_npt(x::AbstractVector{<:Real}) = 2*length(x) + 1
-const default_maxfun_dim_relative = 500
-default_maxfun(x::AbstractVector{<:Real}) = default_maxfun_dim_relative*length(x)
+const default_maxfun_relative = 500
+default_maxfun(x::AbstractVector{<:Real}) = default_maxfun_relative*length(x)
 const default_scale = nothing
 const default_rhobeg = 1.0
 const default_rhoend_relative = 1e-6
@@ -139,10 +139,10 @@ Allowed keywords are (`n = length(x)` is the number of variables):
   algorithm is stopped as soon as `f(x) ≤ ftarget` and the status
   `PRIMA.FTARGET_ACHIEVED` is returned.
 
-- `maxfun` (default `$default_maxfun_dim_relative*n`) is the maximum number of function evaluations
-  allowed for the algorithm. If the number of calls to `f(x)` exceeds this
-  value, the algorithm is stopped and the status `PRIMA.MAXFUN_REACHED` is
-  returned.
+- `maxfun` (default `$default_maxfun_relative*n`) is the maximum number of
+  function evaluations allowed for the algorithm. If the number of calls to
+  `f(x)` exceeds this value, the algorithm is stopped and the status
+  `PRIMA.MAXFUN_REACHED` is returned.
 
 - `iprint` (default value `PRIMA.MSG_NONE`) sets the level of verbosity of the
    algorithm. Possible values are `PRIMA.MSG_EXIT`, `PRIMA.MSG_RHO`, or