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Randomly exact methods.

J D Doll, D L Freeman

    Science (New York, N.Y.)
    |December 12, 1986
    PubMed
    Summary
    This summary is machine-generated.

    New stochastic algorithms, based on random processes, offer powerful tools for studying physical systems. These methods are simple, adaptable to parallel computing, and bridge classical and quantum mechanics.

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    Area of Science:

    • Computational Physics
    • Physical Chemistry
    • Statistical Mechanics

    Background:

    • Traditional methods for many-body problems face limitations.
    • Understanding of random processes has advanced significantly.

    Purpose of the Study:

    • Introduce novel stochastic algorithms for physical systems.
    • Highlight the advantages of these new computational methods.

    Main Methods:

    • Development and application of stochastic algorithms.
    • Exploration of their adaptability to classical and quantum mechanics.
    • Assessment of their suitability for parallel computing architectures.

    Main Results:

    • Stochastic algorithms demonstrate simplicity and weak dimensionality dependence.

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  • These methods facilitate seamless transitions between classical and quantum descriptions.
  • Algorithms are readily adaptable for massively parallel computer architectures.

    • Conclusions:

    • Stochastic algorithms are a valuable addition to the analysis of equilibrium and time-dependent many-body problems.
    • These methods offer unprecedented scope and utility in physical system studies.