Fast multivariate multi-point evaluation revisited

Research output: Contribution to journalArticlepeer-review

Abstract

In 2008, Kedlaya and Umans designed the first multivariate multi-point evaluation algorithm over finite fields with an asymptotic complexity that can be made arbitrarily close to linear. However, it remains a major challenge to make their algorithm efficient for practical input sizes. In this paper, we revisit and improve their algorithm, while keeping this ultimate goal in mind. In addition we sharpen the known complexity bounds for modular composition of univariate polynomials over finite fields.

Original languageEnglish
Article number101405
JournalJournal of Complexity
Volume56
DOIs
Publication statusPublished - 1 Feb 2020

Keywords

  • Algorithm
  • Complexity bound
  • Kedlaya–Umans algorithm
  • Modular composition
  • Multi-point evaluation
  • Power projection

Fingerprint

Dive into the research topics of 'Fast multivariate multi-point evaluation revisited'. Together they form a unique fingerprint.

Cite this