It is quite strange that the max function cannot work in an intuitive way. I just want the maximum value in a vector. julia> a = [1,2,3] 3-element Vector{Int64}: 1 2 3 julia> max(a) ERROR: MethodError: no method matching max(::Vector{Int64}) Closest candidates are: max(::Any, ::Missing) @…

The Julia REPL is your best friend. For max, it also suggests looking at maximum: help?> max search: max maximum maximum! maxintfloat argmax eigmax RowMaximum typemax findmax findmax! Cintmax_t floatmax Cuintmax_t Matrix minmax tf_matrix BitMatrix macroexpand @macroexpand max(x, y, ...) …

reduce(max, x) is equivalent to maximum(x). max compares varargs and returen the maximal element. 4 = max(1,4,1,2) But vector has no proper order, so max([1,4,1,2]) is nonsense. reduce is a higher-order function. It works like max(x[1], max(x[2], ..., max(x[end-1], x[end])...)) , taking max fu…

My two cents: there is here a trade off between elegant implementation and usability. The points to have separate max/maximum functions relates to how Julia internally treat broadcast, multiple dispatch, etc. Having a single function would make the Julia source code look much more a dirty, overly p…

For me more confusing is always that NumPy has exactly the other convention. That being said, I think an error in the max or maximum function has not stopped anyone from learning a new language. In [5]: np.maximum(1,2) Out[5]: 2 In [6]: np.max(np.array([1,2,3])) Out[6]: 3 In [7]: np.max(1,2) ---…

[image] rafael.guerra: max([1,2,3]…) # OK Oh, please, do not suggest that… @jiang_ming_zhang , yes there are these two functions. Use and abuse os the REPL help, and feel free to ask anything here, we are glad to help. I would just suggest not being dismissive in your questions. Many of the …

[image] lmiq: Oh, please, do not suggest that… For small arrays should be fine? Some related warning here.

[image] rafael.guerra: For small arrays should be fine. Some related warning here. Even for small arrays you have dynamic dispatch. (As opposed to tuples.) Of course, if you have lots of few-element arrays in performance-critical code then you might want to re-think your code structure an…

add an error hint for min/max on an array JuliaLang:master ← JuliaLang:kc/min_max_array_errorhint opened 03:07PM - 03 Jan 24 UTC (UTC) [KristofferC] …

[image] roflmaostc: For me more confusing is always that NumPy has exactly the other convention. While Python itself uses max for both multi-arguments and lists.

Julia is a lot more consistent, generic and general than Matlab and this is a pretty good example of that. Let’s look at what Matlab has for max —the core “methods” ignoring weird flags are these: M = max(A) M = max(A,[],"all") M = max(A,[],dim) M = max(A,[],vecdim) C = max(A,B) Even just the firs…

Max of a vector

New to Julia

rafael.guerra January 3, 2024, 2:50pm 14

For small arrays should be fine? Some related warning here.

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Max of a vector

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