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  2. nth root - Wikipedia

    en.wikipedia.org/wiki/Nth_root

    The positive integer n is called the index or degree, and the number x of which the root is taken is the radicand. A root of degree 2 is called a square root and a root of degree 3, a cube root. Roots of higher degree are referred by using ordinal numbers, as in fourth root, twentieth root, etc. The computation of an n th root is a root extraction.

  3. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    The mean value theorem ensures that if there is a root of f in X k, then it is also in X k + 1. Moreover, the hypothesis on F′ ensures that X k + 1 is at most half the size of X k when m is the midpoint of Y , so this sequence converges towards [ x* , x* ] , where x* is the root of f in X .

  4. Polynomial root-finding - Wikipedia

    en.wikipedia.org/wiki/Polynomial_root-finding

    This is a reference implementation, which can find routinely the roots of polynomials of degree larger than 1,000, with more than 1,000 significant decimal digits. The methods for computing all roots may be used for computing real roots. However, it may be difficult to decide whether a root with a small imaginary part is real or not.

  5. Cubic equation - Wikipedia

    en.wikipedia.org/wiki/Cubic_equation

    When p = ±3, the above values of t 0 are sometimes called the Chebyshev cube root. [29] More precisely, the values involving cosines and hyperbolic cosines define, when p = −3, the same analytic function denoted C 1/3 (q), which is the proper Chebyshev cube root. The value involving hyperbolic sines is similarly denoted S 1/3 (q), when p = 3.

  6. Exact trigonometric values - Wikipedia

    en.wikipedia.org/wiki/Exact_trigonometric_values

    Since the root of unity is a root of the polynomial x n − 1, it is algebraic. Since the trigonometric number is the average of the root of unity and its complex conjugate, and algebraic numbers are closed under arithmetic operations, every trigonometric number is algebraic. [2]

  7. Polynomial - Wikipedia

    en.wikipedia.org/wiki/Polynomial

    The number of roots of a nonzero polynomial P, counted with their respective multiplicities, cannot exceed the degree of P, [25] and equals this degree if all complex roots are considered (this is a consequence of the fundamental theorem of algebra). The coefficients of a polynomial and its roots are related by Vieta's formulas.

  8. List of mathematical constants - Wikipedia

    en.wikipedia.org/wiki/List_of_mathematical_constants

    The following list includes a decimal expansion and set containing each number, ordered by year of discovery. The column headings may be clicked to sort the table alphabetically, by decimal value, or by set. Explanations of the symbols in the right hand column can be found by clicking on them.

  9. Tetration - Wikipedia

    en.wikipedia.org/wiki/Tetration

    Analogously, the inverses of tetration are often called the super-root, and the super-logarithm (In fact, all hyperoperations greater than or equal to 3 have analogous inverses); e.g., in the function =, the two inverses are the cube super-root of y and the super-logarithm base y of x.

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