Algorithmic Number Theory, Vol. 1: Efficient Algorithms

Bach, Eric & Jeffrey Shallit

ISBN 10: 0262024055 ISBN 13: 9780262024051

Editorial: The MIT Press, Cambridge, 1996

Idioma: Ingl�s

Usado Condici�n: Very Good Encuadernaci�n de tapa dura

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Descripci�n

Remainder mark on fore-edge. A nice, bright copy. ; Foundations Of Computing; 9.1 X 7.2 X 1.4 inches; 512 pages.

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Detalles bibliogr�ficos

T�tulo

Algorithmic Number Theory, Vol. 1: Efficient Algorithms

Editor

The MIT Press, Cambridge

Fecha de publicaci�n

1996

Idioma

Ingl�s

ISBN 10

0262024055

ISBN 13

9780262024051

Encuadernaci�n

Hardcover

Estado

Very Good

Estado de la sobrecubierta

No Dust Jacket As Issued

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Sinopsis

Algorithmic Number Theory provides a thorough introduction to the design and analysisof algorithms for problems from the theory of numbers. Although not an elementary textbook, itincludes over 300 exercises with suggested solutions. Every theorem not proved in the text or leftas an exercise has a reference in the notes section that appears at the end of each chapter. Thebibliography contains over 1,750 citations to the literature. Finally, it successfully blendscomputational theory with practice by covering some of the practical aspects of algorithmimplementations.The subject of algorithmic number theory represents the marriage of number theorywith the theory of computational complexity. It may be briefly defined as finding integer solutionsto equations, or proving their non-existence, making efficient use of resources such as time andspace. Implicit in this definition is the question of how to efficiently represent the objects inquestion on a computer. The problems of algorithmic number theory are important both for theirintrinsic mathematical interest and their application to random number generation, codes forreliable and secure information transmission, computer algebra, and other areas.Publisher's Note:Volume 2 was not written. Volume 1 is, therefore, a stand-alone publication.

Cr�ticas

"[Algorithmic Number Theory] is an enormous achievement andan extremely valuable reference." Donald E. Knuth, Emeritus, Stanford University

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