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Results for 'derrick henry lehmer'
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An Extended Theory of Lucas Functions
€ 14,95 -
Lehmer Random Number Generator
€ 116,00 -
Lehmer-Schur algorithm
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, the Lehmer-Schur algorithm (named after Derrick Henry Lehmer and Issai Schur) is a root-finding algorithm extending the one-dimensional bracketing used by the bisection method to find the roots of a function of one complex variable inside any rectangular region of the function's holomorphicity (i.e., analyticity).
€ 136,00 -
Pocklington Primality Test
High Quality Content by WIKIPEDIA articles! In mathematics, the Pocklington-Lehmer primality test is a primality test devised by Henry Cabourn Pocklington and Derrick Henry Lehmer to decide whether a given number N is prime. The output of the test is a proof that the number is prime or that primality could not be established. The test is simple once the theorem above is established. Given N, seek to find suitable a and q. If they can be obtained, then N is prime. Moreover, a and q are the certificate of primality. They can be quickly verified to satisfy the conditions of the theorem, confirming N as prime. A problem which arises is the ability to find a suitable q, that must satisfy (1) , (2) and be provably prime. It is even quite possible that such a q does not exist. This is a large probability, indeed only 57.8% of the odd primes, N, N le 10, 000 have such a q. To find a is not nearly so difficult. If N is prime, and a suitable q is found, each choice of a where 1 le a < N will satisfy a^{N-1} equiv 1pmod{N}, and so will satisfy (2) as long as ord(a) does not divide (N ¿ 1) / q.
€ 136,00 -
Pseudorandomness
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A pseudorandom process is a process that appears to be random but it is not. Pseudorandom sequences typically exhibit statistical randomness while being generated by an entirely deterministic causal process. Such a process is easier to produce than a genuine random one, and has the benefit that it can be used again and again to produce exactly the same numbers, useful for testing and fixing software.To generate truly random numbers requires precise, accurate, and repeatable system measurements of absolutely non-deterministic processes.
€ 156,00