The present paper deals with the compound general nonlinear congruential method for generating uniform pseudorandom numbers, which has been introduced recently. Equidistribution and statistical independence properties of the generated sequences over parts of the period are studied based on the discr
On the Average Distribution of Inversive Pseudorandom Numbers
β Scribed by Harald Niederreiter; Igor E. Shparlinski
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 146 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1071-5797
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β¦ Synopsis
The inversive congruential method is an attractive alternative to the classical linear congruential method for pseudorandom number generation. The authors have recently introduced a new method for obtaining nontrivial upper bounds on the multidimensional discrepancy of inversive congruential pseudorandom numbers in parts of the period. This method has also been used to study the multidimensional distribution of several other similar families of pseudorandom numbers. Here we apply this method to show that, ''on average'' over all initial values, much stronger results than those known for ''individual'' sequences can be obtained. # 2002 Elsevier Science (USA)
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Let n>2 be an integer, and for each integer 0<a<n with (a, n)=1, define aΓ by the congruence aaΓ #1 (mod n) and 0<aΓ <n. The main purpose of this paper is to study the distribution behaviour of |a&aΓ |, and prove that for any fixed positive number 0<$ 1, where ,(n) is the Euler function, and \*[ }
The present paper deals with a general compound method for generating uniform pseudorandom numbers. Equidistribution and statistical independence properties of the generated sequences are studied based on the discrepancy of certain point sets. A unified approach to the analysis of the full period an