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Mathematics of Computation

Published by the American Mathematical Society since 1960 (published as Mathematical Tables and other Aids to Computation 1943-1959), Mathematics of Computation is devoted to research articles of the highest quality in computational mathematics.

ISSN 1088-6842 (online) ISSN 0025-5718 (print)

The 2020 MCQ for Mathematics of Computation is 1.78.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

On the use of reducible polynomials as random number generators
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by Da Kai Wang and Aaldert Compagner PDF
Math. Comp. 60 (1993), 363-374 Request permission

Abstract:

The randomness properties and the hierarchy of correlation coefficients are studied of approximate-maximum-length sequences, for which the characteristic polynomial is a product of several primitive polynomials. The randomness properties are almost the same as for maximum-length sequences characterized by a primitive polynomial with many terms and of the same degree. Reducible characteristic polynomials have acceptable figures of merit and can be of extremely high degree. Since they are also easily constructed and implemented, reducible polynomials are strong candidates for reliable random number generation, especially at the bit rates needed in large-scale Monte Carlo simulations.
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Additional Information
  • © Copyright 1993 American Mathematical Society
  • Journal: Math. Comp. 60 (1993), 363-374
  • MSC: Primary 65C10; Secondary 11K99
  • DOI: https://doi.org/10.1090/S0025-5718-1993-1155576-0
  • MathSciNet review: 1155576