Removing Chebyshev to address #67#131
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pavelkomarov merged 5 commits intomasterfrom Jul 18, 2025
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pavelkomarov
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Jul 18, 2025
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| # If odd, make N even, and pad x | ||
| L = len(x) | ||
| if L % 2 != 0: |
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This adding an entry stuff isn't necessary, because you can just zero the Nyquist term in your k array if N is even, and you'll have no Nyquist term if N is odd. I form k as I do in spectral-derivatives now.
pavelkomarov
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Jul 18, 2025
| L = len(x) | ||
| if L % 2 != 0: | ||
| N = L + 1 | ||
| x = np.hstack((x, x[-1] + dt*(x[-1]-x[-1]))) |
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Also, this x[-1] + dt*(x[-1]-x[-1]) = x[-1]. It was probably meant to be x[-1] + dt*(x[-1]-x[-2]).
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The analysis is in.