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  2. Dixon's factorization method - Wikipedia

    en.wikipedia.org/wiki/Dixon's_factorization_method

    In number theory, Dixon's factorization method (also Dixon's random squares method [1] or Dixon's algorithm) is a general-purpose integer factorization algorithm; it is the prototypical factor base method. Unlike for other factor base methods, its run-time bound comes with a rigorous proof that does not rely on conjectures about the smoothness ...

  3. Congruence of squares - Wikipedia

    en.wikipedia.org/wiki/Congruence_of_squares

    The set of small primes which all the y factor into is called the factor base. Construct a logical matrix where each row describes one y, each column corresponds to one prime in the factor base, and the entry is the parity (even or odd) of the number of times that factor occurs in y. Our goal is to select a subset of rows whose sum is the all ...

  4. Integer factorization - Wikipedia

    en.wikipedia.org/wiki/Integer_factorization

    Continuing this process until every factor is prime is called prime factorization; the result is always unique up to the order of the factors by the prime factorization theorem. To factorize a small integer n using mental or pen-and-paper arithmetic, the simplest method is trial division : checking if the number is divisible by prime numbers 2 ...

  5. Talk:Dixon's factorization method - Wikipedia

    en.wikipedia.org/wiki/Talk:Dixon's_factorization...

    n is the semi-prime which we are trying to factor x is one of many random numbers generated to try and find a p(x) which the prime factorization is contained in the factor base. for example if x=20 The prime factorization of 20 is: 2*2*5 If our factor base is [2,3,5] then p(x) factors completley or is "smooth" over our factor base.

  6. Category:Integer factorization algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Integer...

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  7. Computational problem - Wikipedia

    en.wikipedia.org/wiki/Computational_problem

    A decision problem is a computational problem where the answer for every instance is either yes or no. An example of a decision problem is primality testing: "Given a positive integer n, determine if n is prime." A decision problem is typically represented as the set of all instances for which the answer is yes. For example, primality testing ...