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README.md
@@ -58,24 +58,22 @@ v = itp(x, y, ...)
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Some interpolation objects support computation of the gradient, which
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can be obtained as
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```julia
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-g = gradient(itp, x, y, ...)
+g = Interpolations.gradient(itp, x, y, ...)
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```
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-or, if you're evaluating the gradient repeatedly, a somewhat more
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-efficient option is
+or as
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-gradient!(g, itp, x, y, ...)
+Interpolations.gradient!(g, itp, x, y, ...)
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where `g` is a pre-allocated vector.
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Some interpolation objects support computation of the hessian, which
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-h = hessian(itp, x, y, ...)
+h = Interpolations.hessian(itp, x, y, ...)
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-or, if you're evaluating the hessian repeatedly, a somewhat more
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+or
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-hessian!(h, itp, x, y, ...)
+Interpolations.hessian!(h, itp, x, y, ...)
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where `h` is a pre-allocated matrix.
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