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  2. Synthetic division - Wikipedia

    en.wikipedia.org/wiki/Synthetic_division

    In algebra, synthetic division is a method for manually performing Euclidean division of polynomials, with less writing and fewer calculations than long division. It is mostly taught for division by linear monic polynomials (known as Ruffini's rule ), but the method can be generalized to division by any polynomial .

  3. Ruffini's rule - Wikipedia

    en.wikipedia.org/wiki/Ruffini's_rule

    In mathematics, Ruffini's rule is a method for computation of the Euclidean division of a polynomial by a binomial of the form x – r. It was described by Paolo Ruffini in 1809. [1] The rule is a special case of synthetic division in which the divisor is a linear factor.

  4. Polynomial long division - Wikipedia

    en.wikipedia.org/wiki/Polynomial_long_division

    Blomqvist's method [1] is an abbreviated version of the long division above. This pen-and-paper method uses the same algorithm as polynomial long division, but mental calculation is used to determine remainders. This requires less writing, and can therefore be a faster method once mastered.

  5. Category:Division (mathematics) - Wikipedia

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

    Print/export Download as PDF; Printable version; ... Synthetic division; T. Trial division This page was last edited on 17 December 2020, at 23:13 ...

  6. Short division - Wikipedia

    en.wikipedia.org/wiki/Short_division

    As in all division problems, a number called the dividend is divided by another, called the divisor. The answer to the problem would be the quotient, and in the case of Euclidean division, the remainder would be included as well. Using short division, arbitrarily large dividends can be handled. [1]

  7. Factor theorem - Wikipedia

    en.wikipedia.org/wiki/Factor_theorem

    Two problems where the factor theorem is commonly applied are those of factoring a polynomial and finding the roots of a polynomial equation; it is a direct consequence of the theorem that these problems are essentially equivalent.

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