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  2. Cubic function - Wikipedia

    en.wikipedia.org/wiki/Cubic_function

    The graph of any cubic function is similar to such a curve. The graph of a cubic function is a cubic curve, though many cubic curves are not graphs of functions. Although cubic functions depend on four parameters, their graph can have only very few shapes. In fact, the graph of a cubic function is always similar to the graph of a function of ...

  3. Matching polynomial - Wikipedia

    en.wikipedia.org/wiki/Matching_polynomial

    In the mathematical fields of graph theory and combinatorics, a matching polynomial (sometimes called an acyclic polynomial) is a generating function of the numbers of matchings of various sizes in a graph. It is one of several graph polynomials studied in algebraic graph theory.

  4. Graph polynomial - Wikipedia

    en.wikipedia.org/wiki/Graph_polynomial

    The (inverse of the) Ihara zeta function, defined as a product of binomial terms corresponding to certain closed walks in a graph. The Martin polynomial , used by Pierre Martin to study Euler tours The matching polynomials , several different polynomials defined as the generating function of the matchings of a graph.

  5. Polynomial - Wikipedia

    en.wikipedia.org/wiki/Polynomial

    Every polynomial function is continuous, smooth, and entire. The evaluation of a polynomial is the computation of the corresponding polynomial function; that is, the evaluation consists of substituting a numerical value to each indeterminate and carrying out the indicated multiplications and additions.

  6. Horner's method - Wikipedia

    en.wikipedia.org/wiki/Horner's_method

    This polynomial is further reduced to = + + which is shown in blue and yields a zero of −5. The final root of the original polynomial may be found by either using the final zero as an initial guess for Newton's method, or by reducing () and solving the linear equation. As can be seen, the expected roots of −8, −5, −3, 2, 3, and 7 were ...

  7. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Low-order polynomials tend to be smooth and high order polynomial curves tend to be "lumpy". To define this more precisely, the maximum number of inflection points possible in a polynomial curve is n-2, where n is the order of the polynomial equation. An inflection point is a location on the curve where it switches from a positive radius to ...

  8. Lagrange polynomial - Wikipedia

    en.wikipedia.org/wiki/Lagrange_polynomial

    Lagrange and other interpolation at equally spaced points, as in the example above, yield a polynomial oscillating above and below the true function. This behaviour tends to grow with the number of points, leading to a divergence known as Runge's phenomenon ; the problem may be eliminated by choosing interpolation points at Chebyshev nodes .

  9. Algebraic geometry - Wikipedia

    en.wikipedia.org/wiki/Algebraic_geometry

    Since regular functions on V come from regular functions on A n, there is a relationship between the coordinate rings. Specifically, if a regular function on V is the restriction of two functions f and g in k[A n], then f − g is a polynomial function which is null on V and thus belongs to I(V). Thus k[V] may be identified with k[A n]/I(V).