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Fix some spacing/formatting issues
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blog/_posts/2016-03-27-arrays-iteration.md

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@@ -70,8 +70,7 @@ vectorized functions" strategy common to other languages. What we lack
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is a "sparse iteration API" that lets you write the main algorithms of
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sparse linear algebra efficiently in a generic way. Our current model
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is probably fine for `SparseLike*Dense` operations, but gets to be
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harder to manage if you want to efficiently compute, e.g., `Bidiagonal
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* SparseMatrixCSC`: the number of possible combinations you have to
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harder to manage if you want to efficiently compute, e.g., `Bidiagonal*SparseMatrixCSC`: the number of possible combinations you have to
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support grows rapidly with more sparse types, and thus represents a
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powerful incentive for developing efficient, generic low-level
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operations.
@@ -130,8 +129,7 @@ It's also worth pointing out some problems:
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- Most importantly, it requires that one adopt a slightly different
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programming style. Despite being well into another release cycle,
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this transition is still [not complete, even in Base]
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(https://github.com/JuliaLang/julia/pull/15434#issuecomment-194991739).
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this transition is still [not complete, even in Base](https://github.com/JuliaLang/julia/pull/15434#issuecomment-194991739).
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- For algorithms that involve two or more arrays, there's a
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possibility that their "best" iterators will be of different

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