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Some misisng paren and xrefs (#29351)
(cherry picked from commit 0b5e21c)
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doc/src/manual/arrays.md

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@@ -9,7 +9,7 @@ from [`AbstractArray`](@ref). See the [manual section on the AbstractArray inter
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on implementing a custom array type.
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An array is a collection of objects stored in a multi-dimensional grid. In the most general case,
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an array may contain objects of type `Any`. For most computational purposes, arrays should contain
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an array may contain objects of type [`Any`](@ref). For most computational purposes, arrays should contain
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objects of a more specific type, such as [`Float64`](@ref) or [`Int32`](@ref).
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In general, unlike many other technical computing languages, Julia does not expect programs to
@@ -23,7 +23,7 @@ sharing](https://en.wikipedia.org/wiki/Evaluation_strategy#Call_by_sharing)
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while this prevents accidental modification by callees of a value in the caller,
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it makes avoiding unwanted copying of arrays difficult. By convention, a
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function name ending with a `!` indicates that it will mutate or destroy the
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value of one or more of its arguments (see, for example, [`sort`](@ref) and [`sort!`](@ref).
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value of one or more of its arguments (see, for example, [`sort`](@ref) and [`sort!`](@ref)).
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Callees must make explicit copies to ensure that they don't modify inputs that
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they don't intend to change. Many non- mutating functions are implemented by
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calling a function of the same name with an added `!` at the end on an explicit
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| [`ndims(A)`](@ref) | the number of dimensions of `A` |
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| [`size(A)`](@ref) | a tuple containing the dimensions of `A` |
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| [`size(A,n)`](@ref) | the size of `A` along dimension `n` |
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| [`axes(A)`](@ref) | a tuple containing the valid indices of `A` |
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| [`axes(A,n)`](@ref) | a range expressing the valid indices along dimension `n` |
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| [`axes(A)`](@ref) | a tuple containing the valid indices of `A` |
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| [`axes(A,n)`](@ref) | a range expressing the valid indices along dimension `n` |
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| [`eachindex(A)`](@ref) | an efficient iterator for visiting each position in `A` |
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| [`stride(A,k)`](@ref) | the stride (linear index distance between adjacent elements) along dimension `k` |
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| [`strides(A)`](@ref) | a tuple of the strides in each dimension |

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