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[Author] Yao-Lin JIANG(4hit)

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  • Convergence-Theoretics of Classical and Krylov Waveform Relaxation Methods for Differential=Algebraic Equations

    Yao-Lin JIANG  Wai-Shing LUK  Omar WING  

     
    PAPER

      Vol:
    E80-A No:10
      Page(s):
    1961-1972

    We present theoretical results on the convergence of iterative methods for the solution of linear differential-algebraic equations arising form circuit simulation. The iterative methods considered include the continuous-time and discretetime waveform relaxation methods and the Krylov subspace methods in function space. The waveform generalized minimal residual method for solving linear differential-algebraic equations in function space is developed, which is one of the waveform Krylov subspace methods. Some new criteria for convergence of these iterative methods are derived. Examples are given to verify the convergence conditions.

  • Dynamic Equations of Generalized Eigenvalue Problems

    Yao-Lin JIANG  Richard M. M. CHEN  

     
    LETTER-Numerical Analysis and Optimization

      Vol:
    E85-A No:8
      Page(s):
    1974-1978

    In this letter we present a new way for computing generalized eigenvalue problems in engineering applications. To transform a generalized eigenvalue problem into an associated problem for solving nonlinear dynamic equations by using optimization techniques, we can determine all eigenvalues and their eigenvectors for general complex matrices. Numerical examples are given to verify the formula of dynamic equations.

  • On the Spectra of Waveform Relaxation Operators for Circuit Equations

    Yao-Lin JIANG  Omar WING  

     
    PAPER-VLSI Design Technology and CAD

      Vol:
    E81-A No:4
      Page(s):
    685-689

    In this paper we derive the expressions of the spectra of waveform relaxation operators for linear differential-algebraic equations which stem from circuit simulation. These expressions suggest ways to split the matrices of the circuit equations such that waveform relaxation will converge. Numerical experimental results are given.

  • A Parallel Approach for Computing Complex Eigenvalue Problems

    Yao-Lin JIANG  Richard M. M. CHEN  Zu-Lan HUANG  

     
    PAPER-Numerical Analysis and Optimization

      Vol:
    E83-A No:10
      Page(s):
    2000-2008

    In this paper we study general complex eigenvalue problems in engineering fields. The eigenvalue problems can be transformed into the associated problems for solving large systems of nonlinear ordinary differential equations (dynamic equations) by optimization techniques. The known waveform relaxation method in circuit simulation can then be successfully applied to compute the resulting dynamic equations. The approach reported here, which is implemented on a message passing multi-processor system, can determine all eigenvalues and their eigenvectors for general complex matrices without any restriction on the matrices. The numerical results are provided to confirm the theoretical analysis.