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A higher-dimensional sieve method : with procedures for computing sieve functions /

As probability and combinatorics have penetrated the fabric of mathematical activity, sieve methods have become more versatile and sophisticated. This text explains the theory of higher dimensional sieves, examples of which are provided throughout.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Diamond, Harold G., 1940-, Halberstam, H. (Heini) (Autor), Galway, William F. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, U.K. ; New York : Cambridge Univ. Press, ©2008.
Colección:Cambridge tracts in mathematics ; 177.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Diamond, Harold G.,  |d 1940- 
245 1 2 |a A higher-dimensional sieve method :  |b with procedures for computing sieve functions /  |c Harold G. Diamond, H. Halberstam, William F. Galway. 
260 |a Cambridge, U.K. ;  |a New York :  |b Cambridge Univ. Press,  |c ©2008. 
300 |a 1 online resource (xxi, 266 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Cambridge tracts in mathematics ;  |v 177 
504 |a Includes bibliographical references (pages 259-263) and index. 
520 8 |a As probability and combinatorics have penetrated the fabric of mathematical activity, sieve methods have become more versatile and sophisticated. This text explains the theory of higher dimensional sieves, examples of which are provided throughout. 
588 0 |a Print version record. 
505 0 |a Cover; Title; Copyright; Dedication; Contents; List of Illustrations; List of Tables; Preface; Notation; Standard terminology; Sieve notation; Part I Sieves; 1 Introduction; 2 Selberg's sieve method; 3 Combinatorial foundations; 4 The Fundamental Lemma; 5 Selberg's sieve method (continued); 6 Combinatorial foundations (continued); 7 The case Kappa = 1: the linear sieve; 8 An application of the linear sieve; 9 A sieve method for Kappa> 1; 10 Some applications of Theorem 9.1; 11 A weighted sieve method; Part II Proof of the Main Analytic Theorem; 12 Dramatis personae and preliminaries 
505 8 |a 13 Strategy and a necessary condition14 Estimates of SigmaKappa(u) = jKappa(u/2); 15 The pKappa and qKappa functions; 16 The zeros of ... ; 17 The parameters AlphaKappa and BetaKappa; 18 Properties of FKappa and fKappa; Appendix 1 Procedures for computing sieve functions; A1.1 DDEs and the Iwaniec inner product; A1.2 The upper and lower bound sieve functions; A1.3 Using the Iwaniec inner product; A1.4 Some features of Mathematica; A1.5 Computing FKappa(u) and fKappa(u); A1.6 The function Ein(z); A1.7 Computing the adjoint functions; A1.8 Computing jKappa(u) 
505 8 |a A1.9 Computing AlphaKappa and BetaKappaA1.10 Weighted-sieve computations; Bibliography; Index 
546 |a English. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Sieves (Mathematics) 
650 6 |a Cribles (Mathématiques) 
650 7 |a MATHEMATICS  |x Number Theory.  |2 bisacsh 
650 7 |a Sieves (Mathematics)  |2 fast 
700 1 |a Halberstam, H.  |q (Heini)  |4 aut 
700 1 |a Galway, William F.  |4 aut 
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830 0 |a Cambridge tracts in mathematics ;  |v 177. 
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