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  2. Remez algorithm - Wikipedia

    en.wikipedia.org/wiki/Remez_algorithm

    The Remez algorithm or Remez exchange algorithm, published by Evgeny Yakovlevich Remez in 1934, is an iterative algorithm used to find simple approximations to functions, specifically, approximations by functions in a Chebyshev space that are the best in the uniform norm L ∞ sense. [1] It is sometimes referred to as Remes algorithm or Reme ...

  3. Padé approximant - Wikipedia

    en.wikipedia.org/wiki/Padé_approximant

    Padé approximant. 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. The technique was developed around 1890 by Henri Padé, but goes back ...

  4. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    In numerical analysis, the Newton–Raphson method, also known simply as Newton's method, named after Isaac Newton and Joseph Raphson, is a root-finding algorithm which produces successively better approximations to the roots (or zeroes) of a real -valued function. The most basic version starts with a real-valued function f, its derivative f ...

  5. Orthogonal frequency-division multiplexing - Wikipedia

    en.wikipedia.org/wiki/Orthogonal_frequency...

    Download QR code; Print/export Download as PDF; ... In practice, OFDM has become used in combination with such coding and interleaving, so that the terms COFDM and ...

  6. Newton's method in optimization - Wikipedia

    en.wikipedia.org/wiki/Newton's_method_in...

    In calculus, Newton's method (also called Newton–Raphson) is an iterative method for finding the roots of a differentiable function , which are solutions to the equation . However, to optimize a twice-differentiable , our goal is to find the roots of . We can therefore use Newton's method on its derivative to find solutions to , also known as ...

  7. Ellipsoid method - Wikipedia

    en.wikipedia.org/wiki/Ellipsoid_method

    Each problem p in the family is represented by a data-vector Data(p), e.g., the real-valued coefficients in matrices and vectors representing the function f and the feasible region G. The size of a problem p, Size(p), is defined as the number of elements (real numbers) in Data(p). The following assumptions are needed: G (the feasible region) is:

  8. Diophantine approximation - Wikipedia

    en.wikipedia.org/wiki/Diophantine_approximation

    Diophantine approximation. In number theory, the study of Diophantine approximation deals with the approximation of real numbers by rational numbers. It is named after Diophantus of Alexandria. The first problem was to know how well a real number can be approximated by rational numbers. For this problem, a rational number p / q is a "good ...

  9. Discrete dipole approximation - Wikipedia

    en.wikipedia.org/wiki/Discrete_dipole_approximation

    Discrete dipole approximation (DDA), also known as coupled dipole approximation, [1] is a method for computing scattering of radiation by particles of arbitrary shape and by periodic structures. Given a target of arbitrary geometry, one seeks to calculate its scattering and absorption properties by an approximation of the continuum target by a ...