Structured matrices serve as a natural bridge between the areas of algebraic computations with polynomials and numerical matrix computations, allowing cross-fertilization of both fields. This book covers most fundamental numerical and algebraic computations with Toeplitz, Hankel, Vandermonde, Cauchy, and other popular structured matrices. Throughout the computations, the matrices are represented by their compressed images, called displacements, enabling both a unified treatment of various matrix structures and dramatic saving of computer time and memory. The resulting superfast algorithms allow further dramatic parallel acceleration using FFT and fast sine and cosine transforms. Included are specific applications to other fields, in particular, superfast solutions to: various fundamental problems of computer algebra; the tangential Nevanlinna--Pick and matrix Nehari problems The primary intended readership for this work includes researchers, algorithm designers, and advanced graduate students in the fields of computations with structured matrices, computer algebra, and numerical rational interpolation. The book goes beyond research frontiers and, apart from very recent research articles, includes yet unpublished results. To serve a wider audience, the presentation unfolds systematically and is written in a user-friendly engaging style. Only some preliminary knowledge of the fundamentals of linear algebra is required. This makes the material accessible to graduate students and new researchers who wish to study the rapidly exploding area of computations with structured matrices and polynomials. Examples, tables, figures, exercises, extensive bibliography, and index lend this text to classroom use or self-study.
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Buch. Zustand: Neu. Neuware -Structured matrices serve as a natural bridge between the areas ofalgebraic computations with polynomials and numerical matrixcomputations, allowing cross-fertilization of both fields. This bookcovers most fundamental numerical and algebraic computations withToeplitz, Hankel, Vandermonde, Cauchy, and other popular structuredmatrices. Throughout the computations, the matrices are represented bytheir compressed images, called displacements, enabling both a unifiedtreatment of various matrix structures and dramatic saving of computertime and memory. The resulting superfast algorithms allow furtherdramatic parallel acceleration using FFT and fast sine and cosinetransforms.Included are specific applications to other fields, inparticular, superfast solutions to: various fundamental problems ofcomputer algebra; the tangential Nevanlinna--Pick and matrix NehariproblemsThe primary intended readership for this work includesresearchers, algorithm designers, and advanced graduate students inthe fields of computations with structured matrices, computer algebraand numerical rational interpolation. The book goes beyond researchfrontiers and, apart from very recent research articles, includes yetunpublished results.To serve a wider audience, the presentation unfoldssystematically and is written in a user-friendly engaging style. Onlysome preliminary knowledge of the fundamentals of linear algebra isrequired. This makes the material accessible to graduate students andnew researchers who wish to study the rapidly exploding area ofcomputations with structured matrices and polynomials. Examplestables, figures, exercises, extensive bibliography, and index lendthis text to classroom use or self-study.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 308 pp. Englisch. Artikel-Nr. 9780817642402
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Structured matrices serve as a natural bridge between the areas of algebraic computations with polynomials and numerical matrix computations, allowing cross-fertilization of both fields. This book covers most fundamental numerical and algebraic computations with Toeplitz, Hankel, Vandermonde, Cauchy, and other popular structured matrices. Throughout the computations, the matrices are represented by their compressed images, called displacements, enabling both a unified treatment of various matrix structures and dramatic saving of computer time and memory. The resulting superfast algorithms allow further dramatic parallel acceleration using FFT and fast sine and cosine transforms. Included are specific applications to other fields, in particular, superfast solutions to: various fundamental problems of computer algebra; the tangential Nevanlinna--Pick and matrix Nehari problems The primary intended readership for this work includes researchers, algorithm designers, and advanced graduate students in the fields of computations with structured matrices, computer algebra, and numerical rational interpolation. The book goes beyond research frontiers and, apart from very recent research articles, includes yet unpublished results. To serve a wider audience, the presentation unfolds systematically and is written in a user-friendly engaging style. Only some preliminary knowledge of the fundamentals of linear algebra is required. This makes the material accessible to graduate students and new researchers who wish to study the rapidly exploding area of computations with structured matrices and polynomials. Examples, tables, figures, exercises, extensive bibliography, and index lend this text to classroom use or self-study. Artikel-Nr. 9780817642402
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