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    Chapter and Conference Paper

    Performance Evaluation of a Multilevel Sub-structuring Method for Sparse Eigenvalue Problems

    The automated multilevel sub-structuring (AMLS) method [2, 7, 3] is an extension of a simple sub-structuring method called component mode synthesis (CMS) [6, 4] originally developed in the 1960s. The recent work ...

    Weiguo Gao, **aoye S. Li, Chao Yang in Domain Decomposition Methods in Science an… (2007)

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    Chapter and Conference Paper

    Substructuring, Dimension Reduction and Applications: An Introduction

    There are a variety of reasons to go for substructuring and dimension reduction in scientific computations and applications. Substructuring makes it possible to solve large and seemingly intractable computatio...

    Zhaojun Bai, Ren-Cang Li in Applied Parallel Computing. State of the A… (2006)

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    Chapter and Conference Paper

    Towards an Optimal Substructuring Method for Model Reduction

    Substructuring methods have been studied since 1960s. The modes of subsystems associated with the lowest frequencies are typically retained. This mode selection rule is largely heuristic. In this paper, we use...

    Zhaojun Bai, Ben-Shan Liao in Applied Parallel Computing. State of the A… (2006)

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    Chapter and Conference Paper

    Algebraic Sub-structuring for Electromagnetic Applications

    Algebraic sub-structuring refers to the process of applying matrix reordering and partitioning algorithms to divide a large sparse matrix into smaller submatrices from which a subset of spectral components are...

    Chao Yang, Weiguo Gao, Zhaojun Bai in Applied Parallel Computing. State of the A… (2006)

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    Chapter and Conference Paper

    Model Reduction for RF MEMS Simulation

    Radio-frequency (RF) MEMS resonators, integrated into CMOS chips, are of great interest to engineers planning the next generation of communication systems. Fast simulations are necessary in order to gain insig...

    David S. Bindel, Zhaojun Bai in Applied Parallel Computing. State of the A… (2006)

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    Chapter and Conference Paper

    Structure-Preserving Model Reduction

    A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matrices L, G, C, B that define the ...

    Ren-Cang Li, Zhaojun Bai in Applied Parallel Computing. State of the A… (2006)

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    Chapter and Conference Paper

    Some Unusual Eigenvalue Problems

    We survey some unusual eigenvalue problems arising in different applications. We show that all these problems can be cast as problems of estimating quadratic forms. Numerical algorithms based on the well-known...

    Zhaojun Bai, Gene H. Golub in Vector and Parallel Processing – VECPAR’98 (1999)