Sinossi
Matrix and polynomial computations are fundamental to the theory and practice of computing. The authors present here a systematic treatment of algorithms and complexity in these two related areas. Its study of computations with Toeplitz matrices and other dense structured matrices demonstrates the links between numerical and algebraic approaches to computation. The authors begin with classical fundamental problems and gradually introduce the reader to current research. In particular, the book provides improved parallel algorithms for computations with structured matrices and their further applications to some fundamental computations with matrices and polynomials. The book is designed as a text for advanced graduates in mathematics and computer science.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
"We strongly recommend this book as a reference for a graduate course in symbolic computation or computer algebra... An excellent companion for researchers and advanced students."
―SIGSAM Bulletin
"Written in a clear and elegant style... One of the best books in the fields considered."
―Zentralblatt Math.
Contenuti
1. Fundamental Computations with Polynomials..- 2. Fundamental Computations with General and Dense Structured Matrices..- 3. Bit-Operation (Boolean) Cost of Arithmetic Computations..- 4. Parallel Polynomial and Matrix Computations..- Bibliography..- Index..
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Polynomial and Matrix Computations: Fundamental Algorithms (Progress in Theoretical Computer Science)
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Polynomial and Matrix Computations
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials). It greatly extends the study of these topics presented in the celebrated books of the seventies, [AHU] and [BM] (these topics have been under-represented in [CLR], which is a highly successful extension and updating of [AHU] otherwise). Compared to [AHU] and [BM] our volume adds extensive material on parallel com putations with general matrices and polynomials, on the bit-complexity of arithmetic computations (including some recent techniques of data compres sion and the study of numerical approximation properties of polynomial and matrix algorithms), and on computations with Toeplitz matrices and other dense structured matrices. The latter subject should attract people working in numerous areas of application (in particular, coding, signal processing, control, algebraic computing and partial differential equations). The au thors' teaching experience at the Graduate Center of the City University of New York and at the University of Pisa suggests that the book may serve as a text for advanced graduate students in mathematics and computer science who have some knowledge of algorithm design and wish to enter the exciting area of algebraic and numerical computing. The potential readership may also include algorithm and software designers and researchers specializing in the design and analysis of algorithms, computational complexity, alge braic and symbolic computing, and numerical computation. 436 pp. Englisch. Codice articolo 9780817637866
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials). It greatly extends the study of these topics presented in the celebrated books of the seventies, [AHU] and [BM] (thes. Codice articolo 5975499
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Polynomial and Matrix Computations
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Birkhäuser, Birkhäuser Aug 1994, 1994
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ISBN 13: 9780817637866
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Our Subjects and Objectives. This book is about algebraic and symbolic computation and numerical computing (with matrices and polynomials). It greatly extends the study of these topics presented in the celebrated books of the seventies, [AHU] and [BM] (these topics have been under-represented in [CLR], which is a highly successful extension and updating of [AHU] otherwise). Compared to [AHU] and [BM] our volume adds extensive material on parallel com putations with general matrices and polynomials, on the bit-complexity of arithmetic computations (including some recent techniques of data compres sion and the study of numerical approximation properties of polynomial and matrix algorithms), and on computations with Toeplitz matrices and other dense structured matrices. The latter subject should attract people working in numerous areas of application (in particular, coding, signal processing, control, algebraic computing and partial differential equations). The au thors' teaching experience at the Graduate Center of the City University of New York and at the University of Pisa suggests that the book may serve as a text for advanced graduate students in mathematics and computer science who have some knowledge of algorithm design and wish to enter the exciting area of algebraic and numerical computing. The potential readership may also include algorithm and software designers and researchers specializing in the design and analysis of algorithms, computational complexity, alge braic and symbolic computing, and numerical computation.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 436 pp. Englisch. Codice articolo 9780817637866
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