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The New Scramble for Faure Sequence Based on Irrational Numbers
Author(s) -
Ali Mogharrabi O.,
Behrooz Fathi V.,
Mohammad Hassan Behzadi,
Rahman Farnoosh
Publication year - 2021
Publication title -
advances in mathematical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.283
H-Index - 23
eISSN - 1687-9139
pISSN - 1687-9120
DOI - 10.1155/2021/6696895
Subject(s) - sequence (biology) , irrational number , scrambling , random sequence , mathematics , generator (circuit theory) , inverse , matrix (chemical analysis) , generating function , distribution (mathematics) , combinatorics , algorithm , mathematical analysis , power (physics) , genetics , geometry , physics , materials science , quantum mechanics , composite material , biology
This article intends to review quasirandom sequences, especially the Faure sequence to introduce a new version of scrambled of this sequence based on irrational numbers, as follows to prove the success of this version of the random number sequence generator and use it in future calculations. We introduce this scramble of the Faure sequence and show the performance of this sequence in employed numerical codes to obtain successful test integrals. Here, we define a scrambling matrix so that its elements are irrational numbers. In addition, a new form of radical inverse function has been defined, which by combining it with our new matrix, we will have a sequence that not only has a better close uniform distribution than the previous sequences but also is a more accurate and efficient tool in estimating test integrals.

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