Structured Matrices in Mathematics, Computer Science, and Engineering, Part 1

Author:   Vadim Olshevsky
Publisher:   American Mathematical Society
Volume:   v. 280
ISBN:  

9780821819210


Pages:   320
Publication Date:   30 September 2001
Format:   Paperback
Availability:   To order   Availability explained
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Structured Matrices in Mathematics, Computer Science, and Engineering, Part 1


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Overview

Many important problems in applied sciences, mathematics, and engineering can be reduced to matrix problems. Moreover, various applications often introduce a special structure into the corresponding matrices, so that their entries can be described by a certain compact formula. Classic examples include Toeplitz matrices, Hankel matrices, Vandermonde matrices, Cauchy matrices, Pick matrices, Bezoutians, controllability and observability matrices, and others. Exploiting these and the more general structures often allows us to obtain elegant solutions to mathematical problems as well as to design more efficient practical algorithms for a variety of applied engineering problems. Structured matrices have been under close study for a long time and in quite diverse (and seemingly unrelated) areas, for example, mathematics, computer science, and engineering. Considerable progress has recently been made in all these areas, and especially in studying the relevant numerical and computational issues. In the past few years, a number of practical algorithms blending speed and accuracy have been developed. This significant growth is fully reflected in these volumes, which collect 38 papers devoted to the numerous aspects of the topic. The collection of the contributions to these volumes offers a flavor of the plethora of different approaches to attack structured matrix problems. The reader will find that the theory of structured matrices is positioned to bridge diverse applications in the sciences and engineering, deep mathematical theories, as well as computational and numerical issues. The presentation fully illustrates the fact that the techniques of engineers, mathematicians, and numerical analysts nicely complement each other, and they all contribute to one unified theory of structured matrices. The book is published in two volumes. The first contain s articles on interpolation, system theory, signal and image processing, control theory, and spectral theory. Articles in the second volume are devoted to fast algorithms, numerical and iterative methods, and various applications.

Full Product Details

Author:   Vadim Olshevsky
Publisher:   American Mathematical Society
Imprint:   American Mathematical Society
Volume:   v. 280
Dimensions:   Width: 17.10cm , Height: 2.50cm , Length: 25.40cm
Weight:   0.490kg
ISBN:  

9780821819210


ISBN 10:   0821819216
Pages:   320
Publication Date:   30 September 2001
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

Table of Contents

Interpolation and approximation: Structured matrices, reproducing kernels and interpolation by H. Dym A superfast algorithm for confluent rational tangential interpolation problem via matrix-vector multiplication for confluent Cauchy-like matrices by V. Olshevsky and A. Shokrollahi The maximal-volume concept in approximation by low-rank matrices by S. A. Goreinov and E. E. Tyrtyshnikov A matrix interpretation of the extended Euclidean algorithm by M. H. Gutknecht The essential polynomial approach to convergence of matrix Pade approximants by V. M. Adukov System theory, signal and image processing: Systems of low Hankel rank: A survey by P. Dewilde Tensor approximation and signal processing applications by E. Kofidis and P. A. Regalia Exploiting Toeplitz-like structure in adaptive filtering algorithms using signal flow graphs by I. K. Proudler The structured total least squares problem by N. Mastronardi, P. Lemmerling, and S. Van Huffel Exploiting Toeplitz structure in atmospheric image restoration by W. K. Cochran, R. J. Plemmons, and T. C. Torgersen Control theory: A survey of model reduction methods for large-scale systems by A. C. Antoulas, D. C. Sorensen, and S. Gugercin Theory and computations of some inverse Eigenvalue problems for the quadratic pencil by B. N. Datta and D. R. Sarkissian Partial Eigenvalue assignment for large linear control systems by D. Calvetti, B. Lewis, and L. Reichel A hybrid method for the numerical solution of discrete-time algebraic Riccati equations by H. Fassbender and P. Benner Spectral properties. Conditioning: Condition numbers of large Toeplitz-like matrices by A. Bottcher and S. Grudsky How bad are symmetric Pick matrices? by D. Fasino and V. Olshevsky Spectral properties of real Hankel matrices by M. Fiedler Conjectures and remarks on the limit of the spectral radius of nonnegative and block Toeplitz matrices by L. Elsner and S. Friedland.

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