Efficient Algorithms (v. 1) (Foundations of Computing) - Hardcover

Bach, Eric; Shallit, Jeffrey

Hardcover

ISBN 10: 0262024055 ISBN 13: 9780262024051

Verlag: MIT Press, 1996

Inhaltsangabe

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.

Über diesen Titel

Críticas

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

Reseña del editor

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section that appears at the end of each chapter. The bibliography contains over 1,750 citations to the literature. Finally, it successfully blends computational theory with practice by covering some of the practical aspects of algorithm implementations.The subject of algorithmic number theory represents the marriage of number theory with the theory of computational complexity. It may be briefly defined as finding integer solutions to equations, or proving their non-existence, making efficient use of resources such as time and space. Implicit in this definition is the question of how to efficiently represent the objects in question on a computer. The problems of algorithmic number theory are important both for their intrinsic mathematical interest and their application to random number generation, codes for reliable 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.

Details zur Ausgabe

• Verlag: MIT Press
• Erscheinungsdatum: 1996
• Sprache: Englisch
• ISBN 10: 0262024055
• ISBN 13: 9780262024051
• Einband: Tapa dura
• Anzahl der Seiten: 528
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar