In the present paper, we give a review of pseudo-random number generators. The new methods and theory appearing in 1990’s will be focused. This paper concerns with almost all kinds of generators such as the linear, n...In the present paper, we give a review of pseudo-random number generators. The new methods and theory appearing in 1990’s will be focused. This paper concerns with almost all kinds of generators such as the linear, nonlinear and in- versive congruential methods, Fibonacci and Tausworthe (or feedback shift regis- ter) sequences, add-with-carry and subtract-with-borrow methods, multiple prime generator and chaotic mapping, as well as the theory of combination of generators.展开更多
The simulation on a distributed parallel computer system requires parallel ran- dom number generators. In this paper, four algorithms of parallel random number generators are introduced. They are segmented parallel al...The simulation on a distributed parallel computer system requires parallel ran- dom number generators. In this paper, four algorithms of parallel random number generators are introduced. They are segmented parallel algorithm and leapfrog par- allel algorithm of multiplicative congruential generator and generalized feedback shift register (GFSR) generator, parallel algorithm of lagged-Fibonacci generator,and parallel algorithm of combined generator.展开更多
The discrete Fourier transform (DFT) in the ordinary set has been generalized to the fuzzy set in this paper. Definition 1. Assume (?)=[a, b]+i[c, d] is an interval complex number,
文摘In the present paper, we give a review of pseudo-random number generators. The new methods and theory appearing in 1990’s will be focused. This paper concerns with almost all kinds of generators such as the linear, nonlinear and in- versive congruential methods, Fibonacci and Tausworthe (or feedback shift regis- ter) sequences, add-with-carry and subtract-with-borrow methods, multiple prime generator and chaotic mapping, as well as the theory of combination of generators.
文摘The simulation on a distributed parallel computer system requires parallel ran- dom number generators. In this paper, four algorithms of parallel random number generators are introduced. They are segmented parallel algorithm and leapfrog par- allel algorithm of multiplicative congruential generator and generalized feedback shift register (GFSR) generator, parallel algorithm of lagged-Fibonacci generator,and parallel algorithm of combined generator.
文摘The discrete Fourier transform (DFT) in the ordinary set has been generalized to the fuzzy set in this paper. Definition 1. Assume (?)=[a, b]+i[c, d] is an interval complex number,
