Academic literature on the topic 'Miller-Rabin primality test'

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Journal articles on the topic "Miller-Rabin primality test"

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Ega Gradini. "COMPARISON STUDY OF FERMAT, SOLOVAY-STRASSEN AND MILLER-RABIN PRIMALITY TEST USING MATHEMATICA 6.0." Visipena Journal 3, no. 1 (2012): 1–10. http://dx.doi.org/10.46244/visipena.v3i1.48.

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This paper presents three primality tests; Fermat test, Solovay-Strassen test, and Rabin-Miller test. Mathematica software is used to carry out the primality tests. The application of Fermat’s Litle Theorem as well as Euler’s Theorem on the tests was also discussed and this leads to the concept of pseudoprime. This paper is also discussed some results on pseudoprimes with certain range and do quantitative comparison. Those primality tests need to be evaluated in terms of its ability to compute as well as correctness in determining primality of given numbers. The answer to this is to create a source codes for those tests and evaluate them by using Mathematica 6.0. Those are Miller-Rabin test, Solovay-Strassen test, Fermat test and Lucas-Lehmer test. Each test was coded using an algorithm derived from number theoretic theorems and coded using the Mathematica version 6.0. Miller-Rabin test, SolovayStrassen test, and Fermat test are probabilistic tests since they cannot certainly identify the given number is prime, sometimes they fail. Using Mathematica 6.0, comparison study of primality test has been made and given the Miller- Rabin test as the most powerful test than other.
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Ishmukhametov, Shamil Talgatovich, Bulat Gazinurovich Mubarakov, and Ramilya Gakilevna Rubtsova. "On the Number of Witnesses in the Miller–Rabin Primality Test." Symmetry 12, no. 6 (2020): 890. http://dx.doi.org/10.3390/sym12060890.

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In this paper, we investigate the popular Miller–Rabin primality test and study its effectiveness. The ability of the test to determine prime integers is based on the difference of the number of primality witnesses for composite and prime integers. Let W ( n ) denote the set of all primality witnesses for odd n. By Rabin’s theorem, if n is prime, then each positive integer a < n is a primality witness for n. For composite n, the power of W ( n ) is less than or equal to φ ( n ) / 4 where φ ( n ) is Euler’s Totient function. We derive new exact formulas for the power of W ( n ) depending on the number of factors of tested integers. In addition, we study the average probability of errors in the Miller–Rabin test and show that it decreases when the length of tested integers increases. This allows us to reduce estimations for the probability of the Miller–Rabin test errors and increase its efficiency.
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Hurd, Joe. "Verification of the Miller–Rabin probabilistic primality test." Journal of Logic and Algebraic Programming 56, no. 1-2 (2003): 3–21. http://dx.doi.org/10.1016/s1567-8326(02)00065-6.

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Ishmukhametov, S., and B. Mubarakov. "On practical aspects of the Miller-Rabin Primality Test." Lobachevskii Journal of Mathematics 34, no. 4 (2013): 304–12. http://dx.doi.org/10.1134/s1995080213040100.

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Ishmukhametov, S. T., R. Rubtsova, and N. Savelyev. "The Error Probability of the Miller–Rabin Primality Test." Lobachevskii Journal of Mathematics 39, no. 7 (2018): 1010–15. http://dx.doi.org/10.1134/s1995080218070132.

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Arnault, F. "Rabin-Miller primality test: composite numbers which pass it." Mathematics of Computation 64, no. 209 (1995): 355. http://dx.doi.org/10.1090/s0025-5718-1995-1260124-2.

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Belovas, Igoris, Martynas Sabaliauskas, and Paulius Mykolaitis. "Apie sveikųjų skaičių sekų, asocijuotų su pirminiais dvyniais, apskaičiavimą." Lietuvos matematikos rinkinys 64 (November 20, 2023): 23–29. http://dx.doi.org/10.15388/lmr.2023.33586.

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The twin primes conjecture states that there are infinitely many twin primes. While studying this hypothesis, many important results were obtained, but the problem remains unsolved. In this work, the problem is studied from the side of experimental mathematics. Using the probabilistic Miller–Rabin primality test and parallel computing technologies, the distribution of prime pairs in the intervals (2n; 2n+1] is studied experimentally.
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Zhumaniezov, Alisher. "Estimating the Distribution of Witnesses of the Primality of the Miller-Rabin Test." International Journal on Computational Science & Applications 12, no. 3 (2022): 1–17. http://dx.doi.org/10.5121/ijcsa.2022.12301.

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This article investigates the error distribution of the Miller-Rabin test for the class of tripleprime numbers. At first the current results on the class of semiprimes are presented. Further, a theoretical estimation of the average frequency for triple prime numbers on an interval is derived, and a comparative analysis with a practical result is demonstrated. Graphs and intermediate conclusions accompany all comparisons. A conclusion is also made about a possible direction for improving this estimation.
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Antonov, N., and Sh Ishmukhametov. "An Intelligent Choice of Witnesses in the Miller–Rabin Primality Test. Reinforcement Learning Approach." Lobachevskii Journal of Mathematics 43, no. 12 (2022): 3420–29. http://dx.doi.org/10.1134/s1995080222150045.

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Latorre, Jose I., and German Sierra. "Quantum computation of prime number functions." Quantum Information and Computation 14, no. 7&8 (2014): 577–88. http://dx.doi.org/10.26421/qic14.7-8-3.

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We propose a quantum circuit that creates a pure state corresponding to the quantum superposition of all prime numbers less than $2^n$, where $n$ is the number of qubits of the register. This Prime state can be built using Grover's algorithm, whose oracle is a quantum implementation of the classical Miller-Rabin primality test. The Prime state is highly entangled, and its entanglement measures encode number theoretical functions such as the distribution of twin primes or the Chebyshev bias. This algorithm can be further combined with the quantum Fourier transform to yield an estimate of the prime counting function, more efficiently than any classical algorithm and with an error below the bound that allows for the verification of the Riemann hypothesis. Arithmetic properties of prime numbers are then, in principle, amenable to experimental verifications on quantum systems.
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Dissertations / Theses on the topic "Miller-Rabin primality test"

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Hammad, Yousef Bani. "Novel methods for primality testing and factoring." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16142/1/Yousef_Bani_Hammad_Thesis.pdf.

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From the time of the Greeks, primality testing and factoring have fascinated mathematicians, and for centuries following the Greeks primality testing and factorization were pursued by enthusiasts and professional mathematicians for their intrisic value. There was little practical application. One example application was to determine whether or not the Fermat numbers, that is, numbers of the form F;, = 2'" + 1 were prime. Fermat conjectured that for all n they were prime. For n = 1,2,3,4, the Fermat numbers are prime, but Euler showed that F; was not prime and to date no F,, n 2 5 has been found to be prime. Thus, for nearly 2000 years primality testing and factorization was largely pure mathematics. This all changed in the mid 1970's with the advent of public key cryptography. Large prime numbers are used in generating keys in many public key cryptosystems and the security of many of these cryptosystems depends on the difficulty of factoring numbers with large prime factors. Thus, the race was on to develop new algorithms to determine the primality or otherwise of a given large integer and to determine the factors of given large integers. The development of such algorithms continues today. This thesis develops both of these themes. The first part of this thesis deals with primality testing and after a brief introduction to primality testing a new probabilistic primality algorithm, ALI, is introduced. It is analysed in detail and compared to Fermat and Miller-Rabin primality tests. It is shown that the ALI algorithm is more efficient than the Miller-Rabin algorithm in some aspects. The second part of the thesis deals with factoring and after looking closely at various types of algorithms a new algorithm, RAK, is presented. It is analysed in detail and compared with Fermat factorization. The RAK algorithm is shown to be significantly more efficient than the Fermat factoring algorithm. A number of enhancements is made to the basic RAK algorithm in order to improve its performance. The RAK algorithm with its enhancements is known as IMPROVEDRAK. In conjunction with this work on factorization an improvement to Shor's factoring algorithm is presented. For many integers Shor's algorithm uses a quantum computer multiple times to factor a composite number into its prime factors. It is shown that Shor's alorithm can be modified in a way such that the use of a quantum computer is required just once. The common thread throughout this thesis is the application of factoring and primality testing techniques to integer types which commonly occur in public key cryptosystems. Thus, this thesis contributes not only in the area of pure mathematics but also in the very contemporary area of cryptology.
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Hammad, Yousef Bani. "Novel Methods for Primality Testing and Factoring." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16142/.

Full text
Abstract:
From the time of the Greeks, primality testing and factoring have fascinated mathematicians, and for centuries following the Greeks primality testing and factorization were pursued by enthusiasts and professional mathematicians for their intrisic value. There was little practical application. One example application was to determine whether or not the Fermat numbers, that is, numbers of the form F;, = 2'" + 1 were prime. Fermat conjectured that for all n they were prime. For n = 1,2,3,4, the Fermat numbers are prime, but Euler showed that F; was not prime and to date no F,, n 2 5 has been found to be prime. Thus, for nearly 2000 years primality testing and factorization was largely pure mathematics. This all changed in the mid 1970's with the advent of public key cryptography. Large prime numbers are used in generating keys in many public key cryptosystems and the security of many of these cryptosystems depends on the difficulty of factoring numbers with large prime factors. Thus, the race was on to develop new algorithms to determine the primality or otherwise of a given large integer and to determine the factors of given large integers. The development of such algorithms continues today. This thesis develops both of these themes. The first part of this thesis deals with primality testing and after a brief introduction to primality testing a new probabilistic primality algorithm, ALI, is introduced. It is analysed in detail and compared to Fermat and Miller-Rabin primality tests. It is shown that the ALI algorithm is more efficient than the Miller-Rabin algorithm in some aspects. The second part of the thesis deals with factoring and after looking closely at various types of algorithms a new algorithm, RAK, is presented. It is analysed in detail and compared with Fermat factorization. The RAK algorithm is shown to be significantly more efficient than the Fermat factoring algorithm. A number of enhancements is made to the basic RAK algorithm in order to improve its performance. The RAK algorithm with its enhancements is known as IMPROVEDRAK. In conjunction with this work on factorization an improvement to Shor's factoring algorithm is presented. For many integers Shor's algorithm uses a quantum computer multiple times to factor a composite number into its prime factors. It is shown that Shor's alorithm can be modified in a way such that the use of a quantum computer is required just once. The common thread throughout this thesis is the application of factoring and primality testing techniques to integer types which commonly occur in public key cryptosystems. Thus, this thesis contributes not only in the area of pure mathematics but also in the very contemporary area of cryptology.
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Book chapters on the topic "Miller-Rabin primality test"

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Liskov, Moses. "Miller–Rabin Probabilistic Primality Test." In Encyclopedia of Cryptography and Security. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_461.

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Liskov, Moses. "Miller–Rabin Probabilistic Primality Test." In Encyclopedia of Cryptography, Security and Privacy. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-030-71522-9_461.

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Dietzfelbinger, Martin. "5. The Miller-Rabin Test." In Primality Testing in Polynomial Time. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25933-6_5.

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Macheta, Jan, Agnieszka Dąbrowska-Boruch, Paweł Russek, and Kazimierz Wiatr. "ArPALib: A Big Number Arithmetic Library for Hardware and Software Implementations. A Case Study for the Miller-Rabin Primality Test." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56258-2_28.

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5

"The probabilistic Miller-Rabin primality test." In The Life of Primes in 37 Episodes. American Mathematical Society, 2021. http://dx.doi.org/10.1090/mbk/139/27.

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Conference papers on the topic "Miller-Rabin primality test"

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Kolagatla, Venkata Reddy, Aneesh Raveendran, and Vivian Desalphine. "Enhancing Performance and Scalability: A Novel Hardware Architecture for 1024-bit Miller-Rabin Primality Testing." In 2024 28th International Symposium on VLSI Design and Test (VDAT). IEEE, 2024. http://dx.doi.org/10.1109/vdat63601.2024.10705670.

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Dordevic, Goran, and Milan Markovic. "On Optimization of Miller-Rabin Primality Test on TI TMS320C54x Signal Processors." In 2007 14th International Workshop in Systems, Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services - EC-SIPMCS 2007. IEEE, 2007. http://dx.doi.org/10.1109/iwssip.2007.4381195.

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