Diddy: A Python']Python Toolbox for Infinite Discrete Dynamical Systems

被引：0
|
作者：
Salo, Ville [1 ]
Torma, Ilkka [1 ]
机构：
[1] Univ Turku, Dept Math & Stat, Turku, Finland
来源：
CELLULAR AUTOMATA AND DISCRETE COMPLEX SYSTEMS, AUTOMATA 2023 | 2023年 / 14152卷
基金：
芬兰科学院;
关键词：
Discrete dynamics; Symbolic dynamics; Cellular automata; Algorithms; Software; IDENTIFYING VERTICES; CODES;
D O I：
10.1007/978-3-031-42250-8_3
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We introduce Diddy, a collection of Python scripts for analyzing infinite discrete dynamical systems. The main focus is on generalized multidimensional shifts of finite type (SFTs). We show how Diddy can be used to easily define SFTs and cellular automata, and analyze their basic properties. We also showcase how to verify or rediscover some results from coding theory and cellular automata theory.
引用
收藏
页码：33 / 47
页数：15
相关论文
共 50 条
  • [1] Dynamical Systems with Applications Using Python']Python
    Shipman, Patrick
    SIAM REVIEW, 2020, 62 (02) : 522 - 524
  • [2] ObsPy: A Python']Python Toolbox for Seismology
    Beyreuther, Moritz
    Barsch, Robert
    Krischer, Lion
    Megies, Tobias
    Behr, Yannik
    Wassermann, Joachim
    SEISMOLOGICAL RESEARCH LETTERS, 2010, 81 (03) : 530 - 533
  • [3] MTpy: A Python']Python toolbox for magnetotellurics
    Krieger, Lars
    Peacock, Jared R.
    COMPUTERS & GEOSCIENCES, 2014, 72 : 167 - 175
  • [4] Pyo, the Python']Python DSP toolbox
    Belanger, Olivier
    MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE, 2016, : 1214 - 1217
  • [5] PyCoTools: a Python']Python toolbox for COPASI
    Welsh, Ciaran M.
    Fullard, Nicola
    Proctor, Carole J.
    Martinez-Guimera, Alvaro
    Isfort, Robert J.
    Bascom, Charles C.
    Tasseff, Ryan
    Przyborski, Stefan A.
    Shanley, Daryl P.
    BIOINFORMATICS, 2018, 34 (21) : 3702 - 3710
  • [6] DASPy: A Python']Python Toolbox for DAS Seismology
    Hu, Minzhe
    Li, Zefeng
    SEISMOLOGICAL RESEARCH LETTERS, 2024, 95 (05) : 3055 - 3066
  • [7] PyPLT: Python']Python Preference Learning Toolbox
    Camilleri, Elizabeth
    Yannakakis, Georgios N.
    Melhart, David
    Liapis, Antonios
    2019 8TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 2019,
  • [8] WALNUT- A PYTHON']PYTHON BIOPSYCHOPHYSICS TOOLBOX
    Hoffmann, Sven
    Siebelmann, Bernhard
    Wascher, Edmund
    Rinkenauer, Gerhard
    JOURNAL OF COGNITIVE NEUROSCIENCE, 2013, : 173 - 173
  • [9] Orange: Data Mining Toolbox in Python']Python
    Demsar, Janez
    Curk, Tomaz
    Erjavec, Ales
    Gorup, Crt
    Hocevar, Tomaz
    Milutinovic, Mitar
    Mozina, Martin
    Polajnar, Matija
    Toplak, Marko
    Staric, Anze
    Stajdohar, Miha
    Umek, Lan
    Zagar, Lan
    Zbontar, Jure
    Zitnik, Marinka
    Zupan, Blaz
    JOURNAL OF MACHINE LEARNING RESEARCH, 2013, 14 : 2349 - 2353
  • [10] Toolbox of image processing for numerical python']python
    Silva, AG
    Lotufo, RD
    Machado, RC
    XIV BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS, 2001, : 402 - 402
12345