Algorithmic Number Theory: Efficient algorithms

Author	: Eric Bach
Publisher	: MIT Press
Total Pages	: 536
Release	: 1996
ISBN-10	: 0262024055
ISBN-13	: 9780262024051
Rating	: 4/5 (051 Downloads)

DOWNLOAD EBOOK

Book Synopsis Algorithmic Number Theory: Efficient algorithms by : Eric Bach

Download or read book Algorithmic Number Theory: Efficient algorithms written by Eric Bach and published by MIT Press. This book was released on 1996 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 1.

Algorithmic Number Theory: Efficient algorithms Related Books

Language: en
Pages: 536

Algorithmic Number Theory: Efficient algorithms

Authors: Eric Bach

Categories: Computers

Type: BOOK - Published: 1996 - Publisher: MIT Press

DOWNLOAD EBOOK

Volume 1.

Language: en
Pages: 610

Algorithmic Number Theory

Authors: Wieb Bosma

Categories: Mathematics

Type: BOOK - Published: 2006-12-30 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 4th International Algorithmic Number Theory Symposium, ANTS-IV, held in Leiden, The Netherlands, in July 2

Language: en
Pages: 461

Algorithmic Number Theory

Authors: Duncan Buell

Categories: Mathematics

Type: BOOK - Published: 2004-05-04 - Publisher: Springer

DOWNLOAD EBOOK

The sixth Algorithmic Number Theory Symposium was held at the University of Vermont, in Burlington, from 13–18 June 2004. The organization was a joint e?ort o

Language: en
Pages: 526

Algorithmic Number Theory

Authors: Claus Fieker

Categories: Computers

Type: BOOK - Published: 2002-06-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Self-organized criticality (SOC) has become a magic word in various scientific disciplines; it provides a framework for understanding complexity and scale invar

Language: en
Pages: 307

Complexity Theory

Authors: Ingo Wegener

Categories: Computers

Type: BOOK - Published: 2005-04-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models All topics are considered from an algorithmic p