fixed documentation

Author: rittermarc

src/tensorci2.jl

@@ -632,7 +632,7 @@ Notes:
 - By default, no caching takes place. Use the [`CachedFunction`](@ref) wrapper if your function is expensive to evaluate.
 
 
-See also: [`crossinterpolate2`](@ref), [`optfirstpivot`](@ref), [`CachedFunction`](@ref), [`crossinterpolate`](@ref)
+See also: [`crossinterpolate2`](@ref), [`optfirstpivot`](@ref), [`CachedFunction`](@ref), [`crossinterpolate1`](@ref)
 """
 function optimize!(
     tci::TensorCI2{ValueType},
@@ -871,7 +871,7 @@ Notes:
 - By default, no caching takes place. Use the [`CachedFunction`](@ref) wrapper if your function is expensive to evaluate.
 
 
-See also: [`optimize!`](@ref), [`optfirstpivot`](@ref), [`CachedFunction`](@ref), [`crossinterpolate`](@ref)
+See also: [`optimize!`](@ref), [`optfirstpivot`](@ref), [`CachedFunction`](@ref), [`crossinterpolate1`](@ref)
 """
 function crossinterpolate2(
     ::Type{ValueType},

src/util.jl

@@ -69,11 +69,11 @@ Optimize the first pivot for a tensor cross interpolation.
 
 Arguments:
 - `f` is function to be interpolated.
-- `localdims::Union{Vector{Int},NTuple{N,Int}}` determines the local dimensions of the function parameters (see [`crossinterpolate`](@ref)).
+- `localdims::Union{Vector{Int},NTuple{N,Int}}` determines the local dimensions of the function parameters (see [`crossinterpolate1`](@ref)).
 - `fistpivot::MultiIndex=ones(Int, length(localdims))` is the starting point for the optimization. It is advantageous to choose it close to a global maximum of the function.
 - `maxsweep` is the maximum number of optimization sweeps. Default: `1000`.
 
-See also: [`crossinterpolate`](@ref)
+See also: [`crossinterpolate1`](@ref)
 """
 function optfirstpivot(
     f,