Monte Carlo methods and super-recursive algorithms

  • Authors:
  • Mark S. Burgin;Maurice J. Ades

  • Affiliations:
  • University of California, Los Angeles, CA;Augusta, GA

  • Venue:
  • SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper studies Monte Carlo methods and other stochastic algorithms from the super-recursive algorithmic perspective. Advantages of such super-recursive algorithms as inductive and limit Turing machines are demonstrated.