main.m424 chars19 lines

Initialize parameters such as the number of grid points `N`

and define the Chebyshev-Gauss-Lobatto nodes `x`

. Then, calculate the differentiation matrix `D`

using a nested `for`

loop that applies the Chebyshev differentiation formula to each pair of grid points. Finally, apply the differentiation matrix `D`

to a function `f(x)`

and store the result in `df`

. The result is a vector of derivatives, one for each grid point. This method is based on spectral methods, which can achieve very high accuracy with fewer grid points compared to finite difference methods.

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