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  2. Chebyshev polynomials - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_polynomials

    Plot of the Chebyshev polynomial of the first kind () with = in the complex plane from -2-2i to 2+2i with colors created with Mathematica 13.1 function ComplexPlot3D. The Chebyshev polynomials are two sequences of polynomials related to the cosine and sine functions, notated as () and ().

  3. Chebyshev function - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_function

    The first Chebyshev function ϑ (x) or θ (x) is given by = ⁡ where denotes the natural logarithm, with the sum extending over all prime numbers p that are less than or equal to x. The second Chebyshev function ψ (x) is defined similarly, with the sum extending over all prime powers not exceeding x

  4. Discrete Chebyshev transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_Chebyshev_transform

    In applied mathematics, a discrete Chebyshev transform (DCT) is an analog of the discrete Fourier transform for a function of a real interval, converting in either direction between function values at a set of Chebyshev nodes and coefficients of a function in Chebyshev polynomial basis. Like the Chebyshev polynomials, it is named after Pafnuty ...

  5. 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 ...

  6. Approximation theory - Wikipedia

    en.wikipedia.org/wiki/Approximation_theory

    One can obtain polynomials very close to the optimal one by expanding the given function in terms of Chebyshev polynomials and then cutting off the expansion at the desired degree. This is similar to the Fourier analysis of the function, using the Chebyshev polynomials instead of the usual trigonometric functions.

  7. Clenshaw algorithm - Wikipedia

    en.wikipedia.org/wiki/Clenshaw_algorithm

    The algorithm is most useful when () are functions that are complicated to compute directly, but () and () are particularly simple. In the most common applications, α ( x ) {\displaystyle \alpha (x)} does not depend on k {\displaystyle k} , and β {\displaystyle \beta } is a constant that depends on neither x {\displaystyle x} nor k ...

  8. Chebyshev nodes - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_nodes

    Many applications for Chebyshev nodes, such as the design of equally terminated passive Chebyshev filters, cannot use Chebyshev nodes directly, due to the lack of a root at 0. However, the Chebyshev nodes may be modified into a usable form by translating the roots down such that the lowest roots are moved to zero, thereby creating two roots at ...

  9. Chebyshev pseudospectral method - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_pseudospectral...

    The Chebyshev PS method is frequently confused with other Chebyshev methods. Prior to the advent of PS methods, many authors [7] proposed using Chebyshev polynomials to solve optimal control problems; however, none of these methods belong to the class of pseudospectral methods.