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  2. 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 ...

  3. Whitney inequality - Wikipedia

    en.wikipedia.org/wiki/Whitney_inequality

    It was first proved by Hassler Whitney in 1957, [1] and is an important tool in the field of approximation theory for obtaining upper estimates on the errors of best approximation. Statement of the theorem

  4. 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.

  5. 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 .

  6. Padé approximant - Wikipedia

    en.wikipedia.org/wiki/Padé_approximant

    The conventional Padé approximation is determined to reproduce the Maclaurin expansion up to a given order. Therefore, the approximation at the value apart from the expansion point may be poor. This is avoided by the 2-point Padé approximation, which is a type of multipoint summation method. [9]

  7. Minimax approximation algorithm - Wikipedia

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

    For example, given a function defined on the interval [,] and a degree bound , a minimax polynomial approximation algorithm will find a polynomial of degree at most to minimize max a ≤ x ≤ b | f ( x ) − p ( x ) | . {\displaystyle \max _{a\leq x\leq b}|f(x)-p(x)|.} [ 3 ]

  8. Jackson's inequality - Wikipedia

    en.wikipedia.org/wiki/Jackson's_inequality

    In approximation theory, Jackson's inequality is an inequality bounding the value of function's best approximation by algebraic or trigonometric polynomials in terms of the modulus of continuity or modulus of smoothness of the function or of its derivatives. [1]

  9. Padé table - Wikipedia

    en.wikipedia.org/wiki/Padé_table

    In other words, if the same rational function appears more than once in the table, that rational function occupies a square block of cells within the table. This result is known as the block theorem. If a particular rational function occurs exactly once in the Padé table, it is called a normal approximant to f(z). If every entry in the ...