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  2. Approximation theory - Wikipedia

    en.wikipedia.org/wiki/Approximation_theory

    What is meant by best and simpler will depend on the application. A closely related topic is the approximation of functions by generalized Fourier series , that is, approximations based upon summation of a series of terms based upon orthogonal polynomials .

  3. Least-squares function approximation - Wikipedia

    en.wikipedia.org/wiki/Least-squares_function...

    In mathematics, least squares function approximation applies the principle of least squares to function approximation, by means of a weighted sum of other functions.The best approximation can be defined as that which minimizes the difference between the original function and the approximation; for a least-squares approach the quality of the approximation is measured in terms of the squared ...

  4. Remez algorithm - Wikipedia

    en.wikipedia.org/wiki/Remez_algorithm

    The polynomial of best approximation within a given subspace is defined to be the one that minimizes the maximum absolute difference between the polynomial and the function. In this case, the form of the solution is precised by the equioscillation theorem .

  5. Padé approximant - Wikipedia

    en.wikipedia.org/wiki/Padé_approximant

    Henri Padé. In mathematics, a Padé approximant is the "best" approximation of a function near a specific point by a rational function of given order. Under this technique, the approximant's power series agrees with the power series of the function it is approximating.

  6. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    This x-intercept will typically be a better approximation to the original function's root than the first guess, and the method can be iterated. x n+1 is a better approximation than x n for the root x of the function f (blue curve) If the tangent line to the curve f(x) at x = x n intercepts the x-axis at x n+1 then the slope is

  7. Minimax approximation algorithm - Wikipedia

    en.wikipedia.org/wiki/Minimax_approximation...

    A minimax approximation algorithm ... given a function ... The Weierstrass approximation theorem states that every continuous function defined on a closed interval ...

  8. Low-rank approximation - Wikipedia

    en.wikipedia.org/wiki/Low-rank_approximation

    In mathematics, low-rank approximation refers to the process of approximating a given matrix by a matrix of lower rank. More precisely, it is a minimization problem, in which the cost function measures the fit between a given matrix (the data) and an approximating matrix (the optimization variable), subject to a constraint that the approximating matrix has reduced rank.

  9. Diophantine approximation - Wikipedia

    en.wikipedia.org/wiki/Diophantine_approximation

    A best approximation for the second definition is also a best approximation for the first one, but the converse is not true in general. [4] The theory of continued fractions allows us to compute the best approximations of a real number: for the second definition, they are the convergents of its expression as a regular continued fraction.