New Titles  |  FAQ  |  Keep Informed  |  Review Cart  |  Contact Us Quick Search (Advanced Search ) Browse by Subject General Interest Logic & Foundations Number Theory Algebra & Algebraic Geometry Discrete Math & Combinatorics Analysis Differential Equations Geometry & Topology Probability & Statistics Applications Mathematical Physics Math Education

Structured Matrices in Mathematics, Computer Science, and Engineering I
Edited by: Vadim Olshevsky, Georgia State University, Atlanta, GA
 SEARCH THIS BOOK:
Contemporary Mathematics
2001; 327 pp; softcover
Volume: 280
ISBN-10: 0-8218-1921-6
ISBN-13: 978-0-8218-1921-0
List Price: US$91 Member Price: US$72.80
Order Code: CONM/280

This item is also sold as part of the following set: CONMSET

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 contains 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.

Graduate students and research mathematicians interested in linear and multilinear algebra, matrix theory, operator theory, numerical analysis, and systems theory and control.

Interpolation and approximation
• H. Dym -- Structured matrices, reproducing kernels and interpolation
• V. Olshevsky and A. Shokrollahi -- A superfast algorithm for confluent rational tangential interpolation problem via matrix-vector multiplication for confluent Cauchy-like matrices
• S. A. Goreinov and E. E. Tyrtyshnikov -- The maximal-volume concept in approximation by low-rank matrices
• M. H. Gutknecht -- A matrix interpretation of the extended Euclidean algorithm
• V. M. Adukov -- The essential polynomial approach to convergence of matrix Padé approximants
System theory, signal and image processing
• P. Dewilde -- Systems of low Hankel rank: A survey
• E. Kofidis and P. A. Regalia -- Tensor approximation and signal processing applications
• I. K. Proudler -- Exploiting Toeplitz-like structure in adaptive filtering algorithms using signal flow graphs
• N. Mastronardi, P. Lemmerling, and S. Van Huffel -- The structured total least squares problem
• W. K. Cochran, R. J. Plemmons, and T. C. Torgersen -- Exploiting Toeplitz structure in atmospheric image restoration
Control theory
• A. C. Antoulas, D. C. Sorensen, and S. Gugercin -- A survey of model reduction methods for large-scale systems
• B. N. Datta and D. R. Sarkissian -- Theory and computations of some inverse Eigenvalue problems for the quadratic pencil
• D. Calvetti, B. Lewis, and L. Reichel -- Partial Eigenvalue assignment for large linear control systems
• H. Faßbender and P. Benner -- A hybrid method for the numerical solution of discrete-time algebraic Riccati equations
Spectral properties. Conditioning
• A. Böttcher and S. Grudsky -- Condition numbers of large Toeplitz-like matrices
• D. Fasino and V. Olshevsky -- How bad are symmetric Pick matrices?
• M. Fiedler -- Spectral properties of real Hankel matrices
• L. Elsner and S. Friedland -- Conjectures and remarks on the limit of the spectral radius of nonnegative and block Toeplitz matrices
 AMS Home | Comments: webmaster@ams.org © Copyright 2014, American Mathematical Society Privacy Statement