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High-dimensional model representations generated from low order terms--lp-RS-HDMR.

Genyuan Li1, Maxim Artamonov, Herschel Rabitz

  • 1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA.

Journal of Computational Chemistry
|March 13, 2003
PubMed
Summary
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This study introduces a novel low-order term product (lp)-RS-HDMR method to efficiently approximate high-order terms in high-dimensional model representation. This technique enhances model analysis without direct computation of complex component functions.

Area of Science:

  • Computational Chemistry
  • Mathematical Modeling
  • Systems Analysis

Background:

  • High-dimensional model representation (HDMR) offers tools for analyzing complex input-output systems.
  • Random sampling HDMR (RS-HDMR) is a variant using random sampling for efficiency.
  • High-order terms in HDMR expansions are often negligible but can be crucial.

Purpose of the Study:

  • To introduce a modified low-order term product (lp)-RS-HDMR method.
  • To approximate high-order RS-HDMR component functions using products of low-order functions.
  • To enable construction of high-order truncated RS-HDMR expansions without direct computation.

Main Methods:

  • Development of the mathematical foundations for lp-RS-HDMR.
  • Application of the lp-RS-HDMR method to approximate high-order component functions.

Related Experiment Videos

  • Utilizing random sampling (RS) for efficient model representation.
  • Main Results:

    • The lp-RS-HDMR method provides an approximation for high-order RS-HDMR component functions.
    • High-order truncated RS-HDMR expansions can be constructed indirectly.
    • Demonstrated utility in an atmospheric chemical kinetics model.

    Conclusions:

    • The lp-RS-HDMR method offers a computationally efficient approach for high-dimensional model analysis.
    • This method simplifies the representation of complex systems by avoiding direct calculation of high-order terms.
    • The approach is validated through its application in atmospheric chemistry.