Prime Numbers - A Computational Perspective - Grand Format

2nd edition

Edition en anglais

Note moyenne 
Prime numbers beckon to the beginner, as the basic notion of primality is accessible even to a child. Yet, some of the simplest questions about primes... Lire la suite
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Résumé

Prime numbers beckon to the beginner, as the basic notion of primality is accessible even to a child. Yet, some of the simplest questions about primes have confounded humankind for millennia. In the new edition of this highly successful book, Richard Crandall and Carl Pomerance have provided updated material on theoretical, computational, and algorithmic fronts. New results discussed include the AKS test for recognizing primes, computational evidence for the Riemann hypothesis, a fast binary algorithm for the greatest common divisor, nonuniform fast Fourier transforms, and more.
The authors also list new computational records and survey new developments in the theory of prime numbers, including the magnificent proof that there are arbitrarily long arithmetic progressions of primes, and the final resolution of the Catalan problem. Numerous exercises have been added.

Caractéristiques

  • Date de parution
    01/01/2005
  • Editeur
  • ISBN
    0-387-25282-7
  • EAN
    9780387252827
  • Format
    Grand Format
  • Présentation
    Relié
  • Nb. de pages
    597 pages
  • Poids
    1.11 Kg
  • Dimensions
    16,5 cm × 24,2 cm × 3,8 cm

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À propos des auteurs

Richard Crandall currently holds the title of Apple Distinguished Scientist, having previously been Apple's Chief Cryptographer, the Chief Scientist at NeXT, Inc., and recipient of the Vollum Chair of Science at Reed College. Though he publishes in quantum physics, biology, mathematics, and chemistry, and holds various engineering patents, his primary interest is interdisciplinary scientific computation.
Carl Pomerance is the recipient of the Chauvenet and Conant Prizes for expository mathematical writing. He is currently a mathematics professor at Dartmouth College, having previously been at the University of Georgia and Bell Labs. A popular lecturer, he is well known for his research in computational number theory, his efforts having produced important algorithms now in use.

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