A new class of Multiple Recursive Generators, termed DW-k generators, is presented in this chapter. Defined by a characteristic polynomial of order k, these generators ensure primitive properties over a prime modulus p. Through the integration of matrix congruential techniques, the chapter demonstrates how DW-k generators achieve both maximal-period properties and efficient parallelizability. Optimized recurrence relations minimize computational overhead while maintaining high statistical quality. Empirical findings highlight constraints on parameter selection, reinforcing the practical applicability of DW-k generators in demanding simulation tasks.

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DW Generators: New Class of Parallelizable MRGs

  • Lih-Yuan Deng,
  • Nirman Kumar,
  • Henry Horng-Shing Lu,
  • Ching-Chi Yang

摘要

A new class of Multiple Recursive Generators, termed DW-k generators, is presented in this chapter. Defined by a characteristic polynomial of order k, these generators ensure primitive properties over a prime modulus p. Through the integration of matrix congruential techniques, the chapter demonstrates how DW-k generators achieve both maximal-period properties and efficient parallelizability. Optimized recurrence relations minimize computational overhead while maintaining high statistical quality. Empirical findings highlight constraints on parameter selection, reinforcing the practical applicability of DW-k generators in demanding simulation tasks.