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README.md

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@@ -16,7 +16,7 @@ using Pkg; Pkg.add("TensorCrossInterpolation.jl")
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## Usage
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*This section only contains the bare minimum to get you started. An example with more explanation can be found in the [user manual](https://tensors4fields.gitlab.io/tensorcrossinterpolation.jl/dev/index.html).*
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*This section only contains the bare minimum to get you started. An example with more explanation can be found in the [user manual](https://tensor4all.github.io/TensorCrossInterpolation.jl/dev).*
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Given a multivariate function `f`, the function `crossinterpolate2` will generate a tensor cross interpolation for `f`. For example, to interpolate the 8d lorentzian $f(\mathbf v) = 1/(1 + \mathbf v^2)$ on an 8-dimensional lattice of integers, $\mathbf{v} \in \{1, 2, ..., 10\}^8$:
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```julia
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- `f` is defined as a function that takes a single `Vector` of integers.
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- The return type of `f` (`Float64` in this case) must be stated explicitly in the call to `crossinterpolate2`.
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The resulting `TensorCI2` object can be further manipulated, see [user manual](https://tensors4fields.gitlab.io/tensorcrossinterpolation.jl/dev/index.html).
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The resulting `TensorCI2` object can be further manipulated, see [user manual](https://tensor4all.github.io/TensorCrossInterpolation.jl/dev).
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To evaluate the TCI interpolation, simply call your `TensorCI1` object like you would call the original function:
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```julia
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originalvalue = f([1, 2, 3, 4, 5, 6, 7, 8])
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```
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## Online user manual
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An example with more explanation can be found in the [user manual](https://tensors4fields.gitlab.io/tensorcrossinterpolation.jl/dev/index.html).
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An example with more explanation can be found in the [user manual](https://tensor4all.github.io/TensorCrossInterpolation.jl/dev).
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## Related modules
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