Parameterized model order reduction via a two-directional Arnoldi process

  • Authors:
  • Yung-Ta Li;Zhaojun Bai;Yangfeng Su;Xuan Zeng

  • Affiliations:
  • University of California, Davis, CA;University of California, Davis, CA;Fudan University, Shanghai, China;Fudan University, Shanghai, China

  • Venue:
  • Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 2007

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Abstract

This paper presents a multiparameter moment-matching based model order reduction technique for parameterized interconnect networks via a novel two-directional Arnoldi process. It is referred to as a PIMTAP algorithm, which stands for Parameterized Interconnect Macromodeling algorithm via a Two-directional Arnoldi Process. PIMTAP inherits the advantages of previous multiparameter moment-matching algorithms and avoids their shortfalls. It is numerically stable and adaptive, and preserves the passivity of parameterized RLC networks.