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8C Fix sentence structure in fft.md (#1408) · cp-algorithms/cp-algorithms@a5953a5 · GitHub
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Fix sentence structure in fft.md (#1408)
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src/algebra/fft.md

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@@ -97,7 +97,7 @@ It is easy to see that
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$$A(x) = A_0(x^2) + x A_1(x^2).$$
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The polynomials $A_0$ and $A_1$ are only half as much coefficients as the polynomial $A$.
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The polynomials $A_0$ and $A_1$ have only half as many coefficients as the polynomial $A$.
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If we can compute the $\text{DFT}(A)$ in linear time using $\text{DFT}(A_0)$ and $\text{DFT}(A_1)$, then we get the recurrence $T_{\text{DFT}}(n) = 2 T_{\text{DFT}}\left(\frac{n}{2}\right) + O(n)$ for the time complexity, which results in $T_{\text{DFT}}(n) = O(n \log n)$ by the **master theorem**.
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Let's learn how we can accomplish that.

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