TY - GEN
T1 - A Characterization of Polynomial Time Computable Functions from the Integers to the Reals Using Discrete Ordinary Differential Equations
AU - Blanc, Manon
AU - Bournez, Olivier
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - The class of functions from the integers to the integers computable in polynomial time has been recently characterized using discrete ordinary differential equations (ODE), also known as finite differences. Doing so, the fundamental role of linear (discrete) ODEs and classical ODE tools such as changes of variables to capture computability and complexity measures, or as a tool for programming was pointed out. In this article, we extend the approach to a characterization of functions from the integers to the reals computable in polynomial time in the sense of computable analysis. In particular, we provide a characterization of such functions in terms of the smallest class of functions that contains some basic functions, and that is closed by composition, linear length ODEs, and a natural effective limit schema.
AB - The class of functions from the integers to the integers computable in polynomial time has been recently characterized using discrete ordinary differential equations (ODE), also known as finite differences. Doing so, the fundamental role of linear (discrete) ODEs and classical ODE tools such as changes of variables to capture computability and complexity measures, or as a tool for programming was pointed out. In this article, we extend the approach to a characterization of functions from the integers to the reals computable in polynomial time in the sense of computable analysis. In particular, we provide a characterization of such functions in terms of the smallest class of functions that contains some basic functions, and that is closed by composition, linear length ODEs, and a natural effective limit schema.
UR - https://www.scopus.com/pages/publications/85135819027
U2 - 10.1007/978-3-031-13502-6_4
DO - 10.1007/978-3-031-13502-6_4
M3 - Conference contribution
AN - SCOPUS:85135819027
SN - 9783031135019
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 58
EP - 74
BT - Machines, Computations, and Universality - 9th International Conference, MCU 2022, Proceedings
A2 - Durand-Lose, Jérôme
A2 - Vaszil, György
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th International Conference on Machines, Computations, and Universality, MCU 2022
Y2 - 31 August 2022 through 2 September 2022
ER -