PROBLEMS OF DISCRETE EXTRAPOLATION,

Abstract

The article is a continuation of previous works by the author in which the problem of pattern recognition and the method of incomplete mathematical induction were interpreted respectively as interpolation and extrapolation of arithmetic functions. A general principle was formulated stating that the arithmetic functions should be defined in such a way that the algorithm for computation requires a minimum number of memory cells. Problems relating to formulation of this principle for the case of discrete extrapolation are examined in this paper. A simplified model of a control machine is proposed in which memory organization is described by a single table of addresses. The program for computing the arithmetic function is given by a finite or infinite Moore automaton. The automaton may be binary, ternary or some other type, depending on the computational system. Although only binary automata are considered in this article, the results are valid for any Moore automaton in the proper formulation.

Document Details

Document Type
Technical Report
Publication Date
Oct 16, 1968
Accession Number
AD0685520

Entities

People

  • A. Sh. Blokh

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Arithmetic
  • Automata
  • Computations
  • Extrapolation
  • Interpolation
  • Machines
  • Mathematical Analysis
  • Mathematics
  • Pattern Recognition
  • Recognition

Fields of Study

  • Mathematics

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computer Programming and Software Development.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms