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Speeding up the Division and Square Root of Power Series

Guillaume Hanrot, Michel Quercia, Paul A. Zimmermann

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Abstract

We present new algorithms for the inverse, quotient, or square root of power series. The key trick is a new algorithm -- RecursiveMiddleProduct or RMP -- computing the $n$ middle coefficients of a $2n x n$ product in essentially the same number of operations -- $K(n)$ -- than a full $n x n$ product with Karatsuba's method. This improves previous work of Mulders, Karp and Markstein, Burnikel and Ziegler. These results apply both to series, polynomials, and multiple precision floating-point numbers.

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What this paper is about

We present new algorithms for the inverse, quotient, or square root of power series. The key trick is a new algorithm -- RecursiveMiddleProduct or RMP -- computing the $n$ middle coefficients of a $2n x n$ product in essentially the same number of operations -- $K(n)$ -- than a full $n x n$ product with Karatsuba's method. This improves previous work of Mulders, Karp and Markstein, Burnikel and Ziegler. These results apply both to series, polynomials, and multiple precision floating-point numbers.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We present new algorithms for the inverse, quotient, or square root of power series. The key trick is a new algorithm -- RecursiveMiddleProduct or RMP -- computing the $n$ middle coefficients of a $2n x n$ product in essentially the same number of operations -- $K(n)$ -- than a full $n x n$ product with Karatsuba's method. This improves previous work of Mulders, Karp and Markstein, Burnikel and Ziegler. These results apply both to series, polynomials, and multiple precision floating-point numbers.

Key concepts: Square root, Series (stratigraphy), Division (mathematics), Mathematics, Root (linguistics), Product (mathematics), Quotient, Power series

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