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Update README.md
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RJDennis committed Apr 24, 2021
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Expand Up @@ -83,7 +83,7 @@ The third and fourth structures are interpolation objects for tensor-product pol
cheb = ChebInterpTensor(y,nodes,order,domain)
```
where `y` is an n-D array, `nodes` is a tuple, and 'order' would be a 1D array of integers, and:
where `y` is an n-D array, `nodes` is a tuple, and `order` would be a 1D array of integers, and:
```
cheb = ChebInterpComplete(y,nodes,order,domain)
Expand Down Expand Up @@ -134,7 +134,7 @@ The poly-argument can be an array-of-arrays (instead of a tuple). Further, usin
w = chebyshev_weights(cheb)
```
For all of these functions the `weights` are returned in a (nulti-dimensional) array.
For all of these functions the `weights` are returned in a (multi-dimensional) array.
Function evaluation
-------------------
Expand Down Expand Up @@ -180,7 +180,7 @@ cheb = cheb_interp(cheb)
followed by
```
cheb(x)
yhat = cheb(x)
```
allowing polynomials to be easily evaluated at point `x`.
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