update README

This commit is contained in:
Gaspard Jankowiak 2025-02-10 12:29:43 +01:00
commit bdb19da035

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