Excerpt from Parallel Implementation of Bisection for the Calculation of Eigenvalues of Tridiagonal Diagonal Symmetric Matrices
1. Introduction
Kuck and Sameh [9] noted that completion of a Givens or Householder eigenvalue algorithm on a parallel machine may be done by a parallel implementation of a bisection algorithm. In this paper we investigate the considerations involved in the implementation of this idea on an MIMD (multiple instruction stream - multiple data stream) machine with a smaller number of processors available than eigenvalues to be found.
There are three major alternatives to consider:
1. Convert the serial Sturm sequence code to a parallel algorithm.
2. For each interval compute more than one division point in parallel.
3. Process more than one interval at a time.
We will show that the last alternative has certain advantages for MIMD machines.
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Paperback. Condition: New. Print on Demand. This book delves into the application of bisection for the computation of eigenvalues. The technique of bisection is a widely recognized numerical approach commonly used for approximating the roots of nonlinear equations. The author meticulously investigates how bisection can be effectively applied to determine the eigenvalues of a symmetric tridiagonal matrix. By exploring both sequential and parallel implementations of the bisection algorithm, the author provides valuable insights into the method's accuracy and efficiency. The book offers a comprehensive examination of the bisection method, making it an invaluable resource for researchers and practitioners seeking a deeper understanding of eigenvalue computation techniques. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332175611_0
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