Computational hardness assumptions | Integer factorization algorithms | Unsolved problems in computer science | Factorization

Integer factorization

In number theory, integer factorization is the decomposition of a composite number into a product of smaller integers. If these factors are further restricted to prime numbers, the process is called prime factorization. When the numbers are sufficiently large, no efficient non-quantum integer factorization algorithm is known. However, it has not been proven that such an algorithm does not exist. The presumed difficulty of this problem is important for the algorithms used in cryptography such as RSA public-key encryption and the RSA digital signature. Many areas of mathematics and computer science have been brought to bear on the problem, including elliptic curves, algebraic number theory, and quantum computing. In 2019, Fabrice Boudot, Pierrick Gaudry, Aurore Guillevic, Nadia Heninger, Emmanuel Thomé and Paul Zimmermann factored a 240-digit (795-bit) number (RSA-240) utilizing approximately 900 core-years of computing power. The researchers estimated that a 1024-bit RSA modulus would take about 500 times as long. Not all numbers of a given length are equally hard to factor. The hardest instances of these problems (for currently known techniques) are semiprimes, the product of two prime numbers. When they are both large, for instance more than two thousand bits long, randomly chosen, and about the same size (but not too close, for example, to avoid efficient factorization by Fermat's factorization method), even the fastest prime factorization algorithms on the fastest computers can take enough time to make the search impractical; that is, as the number of digits of the primes being factored increases, the number of operations required to perform the factorization on any computer increases drastically. Many cryptographic protocols are based on the difficulty of factoring large composite integers or a related problem—for example, the RSA problem. An algorithm that efficiently factors an arbitrary integer would render RSA-based public-key cryptography insecure. (Wikipedia).

Integer factorization
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Factoring by using a sum of cubes - Online tutor

👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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From playlist How to Factor Higher Order #Polynomial

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👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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From playlist How to factor a polynomial by difference of two squares

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👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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Learn how to factor higher order trinomials. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expressions that can be multiplied togeth

From playlist How to Factor Higher Order #Polynomial

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Factoring a polynomial using the difference of two cubes

👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

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From playlist Abstract Algebra

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From playlist Rings and modules

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From playlist Number Theory Day

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From playlist Coffee Time Math with Wrath of Math

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From playlist [ANT] An unorthodox introduction to algebraic number theory

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From playlist [ANT] An unorthodox introduction to algebraic number theory

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👉 Learn how to factor polynomials using the sum or difference of two cubes. A polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are constants and the exponents are positive integers. To factor an algebraic expression means to break it up into expression

From playlist How to factor a polynomial to a higher power

Related pages

Computational hardness assumption | Fermat's factorization method | Randomized algorithm | AKS primality test | Factorization | RSA numbers | Decision problem | Smooth number | Euler's factorization method | Empty product | Group (mathematics) | Big O notation | Adleman–Pomerance–Rumely primality test | Product (mathematics) | Special number field sieve | Shor's algorithm | The Art of Computer Programming | Greatest common divisor | Sylow theorems | Trial division | Pollard's rho algorithm | Pollard's p − 1 algorithm | Generating set of a group | Aurifeuillean factorization | Co-NP | Digital Signature Algorithm | Cryptography | Continued fraction factorization | Congruence of squares | Primality test | RSA (cryptosystem) | Generalized Riemann hypothesis | Composite number | Co-NP-complete | Multiplicative partition | NP-intermediate | General number field sieve | Rational sieve | Mathematics | Fundamental theorem of arithmetic | Divisor | Algebraic number theory | Bit | Bach's algorithm | Number theory | Cycle detection | NP (complexity) | P-adic valuation | RSA problem | Kronecker symbol | L-notation | Prime number | Quadratic form | Semiprime | BQP | Elliptic curve | Time complexity | Partition (number theory) | Skylake (microarchitecture) | Wheel factorization | Shanks's square forms factorization | Quadratic sieve | Algorithm | Maurice Kraitchik | UP (complexity) | Complexity class | Ideal class group | Quantum computing