update README
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README.md
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README.md
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@ -14,7 +14,14 @@ Returns true if `Jf` approximates the derivative/gradient/Jacobian of `f` at poi
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effectively ignoring the dependency of `f` on these components.
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## Examples
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```julia-repl
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julia> f = x -> cos(x); Jf = x -> -sin(x); check(f, Jf, rand())
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true
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```julia
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import TaylorTest
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f = x -> cos(x)
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Jf = x -> -sin(x)
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TaylorTest.check(f, Jf, rand())
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# [ Info: Approximation order ~ 1.0
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# true
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```
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