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Fix typos in README #57

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shinaoka merged 1 commit into from
Apr 30, 2025
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Fix typos in README #57

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -5,13 +5,13 @@

The [TensorCrossInterpolation module](https://github.com/tensor4all/TensorCrossInterpolation.jl) implements the *tensor cross interpolation* algorithm for efficient interpolation of multi-index tensors and multivariate functions.

This algorithm is used in the *quantics tensor cross interpolation* (QTCI) method for exponentially efficient interpolation of functions with scale separation. QTCI is implemented in the [QuanticsTCI.jl](https://github.com/tensor4all/quanticstci.jl) module.
This algorithm is used in the *quantics tensor cross interpolation* (QTCI) method for exponentially efficient interpolation of functions with scale separation. QTCI is implemented in the [QuanticsTCI.jl](https://github.com/tensor4all/QuanticsTCI.jl) module.

## Installation

This module has been registered in the General registry. It can be installed by typing the following in a Julia REPL:
```julia
using Pkg; Pkg.add("TensorCrossInterpolation.jl")
using Pkg; Pkg.add("TensorCrossInterpolation")
```

## Usage
Expand All @@ -32,7 +32,7 @@ Note:
- The return type of `f` (`Float64` in this case) must be stated explicitly in the call to `crossinterpolate2`.

The resulting `TensorCI2` object can be further manipulated, see [user manual](https://tensor4all.github.io/TensorCrossInterpolation.jl/dev).
To evaluate the TCI interpolation, simply call your `TensorCI1` object like you would call the original function:
To evaluate the TCI interpolation, simply call your `TensorCI2` object like you would call the original function:
```julia
originalvalue = f([1, 2, 3, 4, 5, 6, 7, 8])
interpolatedvalue = tci([1, 2, 3, 4, 5, 6, 7, 8])
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