Generic reductions for in-place polynomial multiplication

Pascal Giorgi 1 Bruno Grenet 1 Daniel Roche 2
1 ECO - Exact Computing
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : The polynomial multiplication problem has attracted considerable attention since the early days of computer algebra, and several algorithms have been designed to achieve the best possible time complexity. More recently, efforts have been made to improve the space complexity, developing modified versions of a few specific algorithms to use no extra space while keeping the same asymptotic running time. In this work, we broaden the scope in two regards. First, we ask whether an arbitrary multiplication algorithm can be performed in-place generically. Second, we consider two important variants which produce only part of the result (and hence have less space to work with), the so-called middle and short products, and ask whether these operations can also be performed in-place. To answer both questions in (mostly) the affirmative, we provide a series of reductions starting with any linear-space multiplication algorithm. For full and short product algorithms these reductions yield in-place versions with the same asymptotic time complexity as the out-of-place version. For the middle product, the reduction incurs an extra logarithmic factor in the time complexity only when the algorithm is quasi-linear.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02003089
Contributor : Bruno Grenet <>
Submitted on : Monday, May 13, 2019 - 6:31:41 PM
Last modification on : Thursday, May 16, 2019 - 1:15:16 AM

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Pascal Giorgi, Bruno Grenet, Daniel Roche. Generic reductions for in-place polynomial multiplication. ISSAC: International Symposium on Symbolic and Algebraic Computation, Jul 2019, Beijing, China. ⟨10.1145/3326229.3326249⟩. ⟨lirmm-02003089v2⟩

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