Prime Numbers: A Computational Perspective

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It will be useful to anyone interested in algorithms dealing with the arithmetic of the integers and related computational issues.

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It is also a timely book, since primes and factoring have reached a certain vogue, partly because of cryptography. It's also a lot of fun to read!

It's rare to say this of a math book, but open Prime Numbers to a random page and it's hard to put down. Crandall and Pomerance have written a terrific book. His primary interest is interdisciplinary scientific computation, though he has authored numerous theoretical papers in quantum physics, biology, mathematics, and chemistry, as well as various patents across engineering fields.

  • Prime Numbers A Computational Perspective - Carl B. Pomerance Richard Crandall w
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Carl Pomerance received his Ph. Currently he is a professor at Dartmouth College.

A popular lecturer and winner of the Chauvenet and Conant Prizes for expository mathematical writing, Pomerance is well known for his research in computational number theory, his efforts having produced important algorithms now in wide use. Prime Numbers : A Computational Perspective.

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Richard Crandall , Carl B. Wolfram Engine Software engine implementing the Wolfram Language.

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Wolfram Data Framework Semantic framework for real-world data. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. Wolfram Knowledgebase Curated computable knowledge powering Wolfram Alpha. Wolfram Books. Description This book is a reference for professionals and students interested in prime numbers and encryption, cryptography, factoring algorithms, elliptic curve arithmetic, and many more computational issues related to primes and factoring.

Prime Numbers: A Computational Perspective

The text focuses on the computational aspects of finding, testing, and characterizing prime numbers, and discusses theoretically interesting, aesthetic and practical aspects of primes. The text provides theoretical explanations for the practical power of the computational algorithms, along with detailed pseudocode and exercises are designed to keep students engaged and interested. This second edition provides updated material on theoretical, computational, and algorithmic fronts.