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Fix two typos (#638)
Signed-off-by: Alexander Seiler <[email protected]>
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docs/src/dev/how_it_works.md

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@@ -39,7 +39,7 @@ central feature that allows ForwardDiff to take derivatives.
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In order to implement the above property, elementary numerical functions on a `Dual`
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number are overloaded to evaluate both the original function, *and* evaluate the derivative
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of the function, propogating the derivative via multiplication. For example, `Base.sin`
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of the function, propagating the derivative via multiplication. For example, `Base.sin`
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can be overloaded on `Dual` like so:
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```julia

docs/src/user/advanced.md

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@@ -72,7 +72,7 @@ julia> @time gradient!(out, rosenbrock, x, cfg10);
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0.282529 seconds (4 allocations: 160 bytes)
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```
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If you do not explicity provide a chunk size, ForwardDiff will try to guess one for you
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If you do not explicitly provide a chunk size, ForwardDiff will try to guess one for you
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based on your input vector:
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```julia

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