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Modern methods of analyzing Monte Carlo computer simulations

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  • Swendsen, Robert H.

Abstract

In the past few years, new approaches to Monte Carlo simulations have produced substantial improvements in the efficiency of both simulation techniques and data analysis. This paper will focus on the recent renewal of interest in histogram methods and the new developments in this field. This approach to data analysis has proven very effective in improving the efficiency and ultimate accuracy of Monte Carlo calculations. The methods will be described along with several new applications.

Suggested Citation

  • Swendsen, Robert H., 1993. "Modern methods of analyzing Monte Carlo computer simulations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 194(1), pages 53-62.
    • Handle: RePEc:eee:phsmap:v:194:y:1993:i:1:p:53-62
    DOI: 10.1016/0378-4371(93)90339-6
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    1. Binder, Arnold & Green, Robert P. & Newkirk, Martha, 1973. "University-police cooperative approach to juvenile diversion: Evaluating its applicability and effectiveness," Journal of Criminal Justice, Elsevier, vol. 1(3), pages 255-258.
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    1. Stošić, Borko D. & Sastry, Srikanth & Kostić, Dragan & Milošević, Sava & Eugene Stanley, H., 1996. "Geometric criteria for phase transitions: The Ising model with nearest and next-nearest neighbor interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 232(1), pages 349-368.

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