Arnold Schönhage

Arnold Schönhage (born 1 December 1934 in Lockhausen, now Bad Salzuflen) is a German mathematician and computer scientist.

Professor

Arnold Schönhage
Schönhage in 1973
Born (1934-12-01) December 1, 1934
NationalityGerman
Alma materUniversity of Cologne
Known forSchönhage–Strassen algorithm, Odlyzko–Schönhage algorithm, Schönhage's Storage Modification Machine (SMM) model. Splitting circle method.
Scientific career
FieldsMathematics
InstitutionsUniversity of Konstanz, University of Tübingen, Rheinische Friedrich-Wilhelms-Universität, Bonn
Doctoral advisorGuido Hoheisel

Schönhage was professor at the Rheinische Friedrich-Wilhelms-Universität, Bonn,[1] and also in Tübingen and Konstanz.[2]

Together with Volker Strassen he developed the Schönhage–Strassen algorithm for the multiplication of large numbers[1][3] that has a runtime of O(N log N log log N). For many years, this was the fastest way to multiply large integers, although Schönhage and Strassen predicted that an algorithm with a run-time of N(logN) should exist. In 2019, Joris van der Hoeven and David Harvey finally developed an algorithm with this runtime, proving that Schönhage's and Strassen's prediction had been correct.[4]

Schönhage designed and implemented together with Andreas F. W. Grotefeld and Ekkehart Vetter a multitape Turing machine, called TP, in software. The machine is programmed in TPAL, an assembler language. They implemented numerous numerical algorithms including the Schönhage–Strassen algorithm on this machine.

References

  1. Luerweg, Frank (December 21, 2004). "Weltrekord-Rechenmethode kommt zu späten Ehren". Informationsdienst Wissenschaft. Retrieved 2023-10-21.
  2. "Arnold Schönhage". The Mathematics Genealogy Project. North Dakota State University. Retrieved 2023-10-21.
  3. Fischer, Lars (April 11, 2019). "Mathematik: Die schnellste Art zu multiplizieren". Spektrum der Wissenschaft (in German). Retrieved 2023-10-21.
  4. Klarreich, Erica (2019-12-20). "Multiplication hits the speed limit". Communications of the ACM. 63 (1): 11–13. doi:10.1145/3371387. ISSN 0001-0782.
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