Examples of using Integer factorization in English and their translations into Portuguese
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It's a quantum algorithm used for integer factorization.
Both integer factorization and discrete log are in BQP.
The best known problem in the field is integer factorization.
The integer factorization problem is in NP and in co-NP and even in UP and co-UP.
It is based on the mathematical difficulty of integer factorization.
In fact, both the integer factorization and discrete log problems are in NP∩ coNP, and are therefore not believed to be NP-complete.
This asymmetry is analogous to the one between integer factorization and integer multiplication.
The integer factorization problem is the computational problem of determining the prime factorization of a given integer. .
Notable examples include the traveling salesman problem and the integer factorization problem.
Unlike integer factorization, primality tests do not generally give prime factors, only stating whether the input number is prime or not.
More sophisticated algorithms exist,usually inspired by similar algorithms for integer factorization.
RSA's security depends(in part)upon the difficulty of integer factorization- a breakthrough in factoring would impact the security of RSA.
No efficient integer factorization algorithm is known, and this fact forms the basis of several modern cryptographic systems, such as the RSA algorithm.
The graph isomorphism problem,the discrete logarithm problem and the integer factorization problem are examples of problems believed to be NP-intermediate.
The effectiveness of public key cryptosystems depends on the intractability(computational and theoretical)of certain mathematical problems such as integer factorization.
Given a general algorithm for integer factorization, any integer can be factored into its constituent prime factors by repeated application of this algorithm.
The most efficient method known to solve the RSA problem is by first factoring the modulus N,a task believed to be impractical if N is sufficiently large see integer factorization.
Given a general algorithm for integer factorization, one can factor any integer down to its constituent prime factors by repeated application of this algorithm.
Discrete logarithm in the group of remainders modulo a prime(DL),discrete logarithm in the group of points on an elliptic curve over a finite field(EC), integer factorization IF.
In computational number theory,Williams's p+ 1 algorithm is an integer factorization algorithm, one of the family of algebraic-group factorisation algorithms.
An algorithm can require time that is both superpolynomial and subexponential; examples of this include the fastest known algorithms for integer factorization and the function nlog n.
An example of a problem that is known to belong to both NP andco-NP is integer factorization: given positive integers m and n determine if m has a factor less than n and greater than one.
Introduced by Jacobi in 1837, it is of theoretical interest in modular arithmetic and other branches of number theory, but its main use is in computational number theory,especially primality testing and integer factorization; these in turn are important in cryptography.
The best known algorithm for integer factorization is the general number field sieve, which takes time O( e( 64/9) 1/3(" n". log 2)1/3(log("n". log 2))2/3) to factor an"n"-bit integer. .
The work factor for breaking Diffie-Hellman is based on the discrete logarithm problem,which is related to the integer factorization problem on which RSA's strength is based.
An example of such a sub-exponential time algorithm is the best-known classical algorithm for integer factorization, the general number field sieve, which runs in time about 2 O~( n 1/ 3){\displaystyle 2^{{\tilde{ O}}( n^{ 1/3})}}, where the length of the input is n.
Other notable examples include the travelling salesman problem,which asks for the route taken by the salesman, and the integer factorization problem, which asks for the list of factors.
These schemes are therefore termed computationally secure; theoretical advances, e.g.,improvements in integer factorization algorithms, and faster computing technology require these solutions to be continually adapted.
However the Rabin cryptosystem has the advantage that the problem on which it relies has been proven to be as hard as integer factorization, which is not currently known to be true of the RSA problem.
Since the only known way to solve that problem is to factor the modulus,it is generally regarded that the difficulty of integer factorization provides a conditional security proof for the Blum Blum Shub algorithm.