Addition machines, automatic functions and open problems of Floyd and Knuth

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE Journal of Computer and System Sciences Pub Date : 2023-09-01 DOI:10.1016/j.jcss.2023.04.003
Sanjay Jain , Xiaodong Jia , Ammar Fathin Sabili , Frank Stephan
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Abstract

Floyd and Knuth investigated in 1990 register machines which can add, subtract and compare integers as primitive operations. They asked whether their current bound on the number of registers for multiplying and dividing fast (running in time linear in the size of the input) can be improved and whether one can output fast the powers of two summing up to a positive integer in subquadratic time. Both questions are answered positively. Furthermore, it is shown that every function computed by only one register is automatic and that the automatic functions with one input can be computed with four registers in linear time; automatic functions with a larger number of inputs can be computed with 5 registers in linear time. There is a nonautomatic function with one input which can be computed with two registers in linear time.

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加法机,自动功能和Floyd和Knuth的开放问题
Floyd和Knuth在1990年研究了可以将整数作为基元运算进行加法、减法和比较的寄存器机。他们询问是否可以改进快速乘法和除法(在时间上与输入大小线性)的寄存器数量的当前限制,以及是否可以快速输出二次方时间内求和为正整数的二次幂。两个问题都得到了肯定的回答。此外,还证明了仅由一个寄存器计算的每个函数都是自动的,并且具有一个输入的自动函数可以在线性时间内由四个寄存器计算;具有大量输入的自动函数可以在线性时间内用5个寄存器来计算。有一个具有一个输入的非自动函数,可以在线性时间内用两个寄存器进行计算。
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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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