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  2. Factorization of polynomials - Wikipedia

    en.wikipedia.org/wiki/Factorization_of_polynomials

    If one of these values is 0, we have a linear factor. If the values are nonzero, we can list the possible factorizations for each. Now, 2 can only factor as 1×2, 2×1, (−1)×(−2), or (−2)×(−1). Therefore, if a second degree integer polynomial factor exists, it must take one of the values p(0) = 1, 2, −1, or −2. and likewise for p(1).

  3. Shor's algorithm - Wikipedia

    en.wikipedia.org/wiki/Shor's_algorithm

    [1] [2] It is one of the few known quantum algorithms with compelling potential applications and strong evidence of superpolynomial speedup compared to best known classical (non-quantum) algorithms. [3] On the other hand, factoring numbers of practical significance requires far more qubits than available in the near future. [4]

  4. Integer factorization - Wikipedia

    en.wikipedia.org/wiki/Integer_factorization

    A general-purpose factoring algorithm, also known as a Category 2, Second Category, or Kraitchik family algorithm, [10] has a running time which depends solely on the size of the integer to be factored. This is the type of algorithm used to factor RSA numbers. Most general-purpose factoring algorithms are based on the congruence of squares method.

  5. Chegg - Wikipedia

    en.wikipedia.org/wiki/Chegg

    [52] [57] For example, Georgia Tech alerted students in a physics class that certain students in the class had cheated on their online final exam by using answers posted on Chegg, [57] certain students in a chemistry class at Boston University were found to have similarly cheated on an online exam, [58] students from two chemistry classes at ...

  6. Factor theorem - Wikipedia

    en.wikipedia.org/wiki/Factor_theorem

    In algebra, the factor theorem connects polynomial factors with polynomial roots. Specifically, if f ( x ) {\displaystyle f(x)} is a polynomial, then x − a {\displaystyle x-a} is a factor of f ( x ) {\displaystyle f(x)} if and only if f ( a ) = 0 {\displaystyle f(a)=0} (that is, a {\displaystyle a} is a root of the polynomial).

  7. Problem-based learning - Wikipedia

    en.wikipedia.org/wiki/Problem-based_learning

    The Maastricht seven-jump process involves clarifying terms, defining problem(s), brainstorming, structuring and hypothesis, learning objectives, independent study and synthesising. [1] In short, it is identifying what they already know, what they need to know, and how and where to access new information that may lead to the resolution of the ...

  8. Integrating factor - Wikipedia

    en.wikipedia.org/wiki/Integrating_factor

    In mathematics, an integrating factor is a function that is chosen to facilitate the solving of a given equation involving differentials.It is commonly used to solve non-exact ordinary differential equations, but is also used within multivariable calculus when multiplying through by an integrating factor allows an inexact differential to be made into an exact differential (which can then be ...

  9. Linear equation - Wikipedia

    en.wikipedia.org/wiki/Linear_equation

    More generally, the solutions of a linear equation in n variables form a hyperplane (a subspace of dimension n − 1) in the Euclidean space of dimension n. Linear equations occur frequently in all mathematics and their applications in physics and engineering, partly because non-linear systems are often well approximated by linear equations.