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1The Collected Papers of Frits Zernike (1888-1966)

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“The Collected Papers of Frits Zernike (1888-1966)” Metadata:

  • Title: ➤  The Collected Papers of Frits Zernike (1888-1966)
  • Author:
  • Language: English
  • Number of Pages: Median: 1927
  • Publisher: Groningen University Press
  • Publish Date:
  • Publish Location: Groningen, Netherlands

“The Collected Papers of Frits Zernike (1888-1966)” Subjects and Themes:

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Access and General Info:

  • First Year Published: 2012
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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    Zernike polynomials

    In mathematics, the Zernike polynomials are a sequence of polynomials that are orthogonal on the unit disk. Named after optical physicist Frits Zernike

    Orthogonal polynomials

    mathematics, an orthogonal polynomial sequence is a family of polynomials such that any two different polynomials in the sequence are orthogonal to each other

    Orthogonal polynomials on the unit circle

    mathematics, orthogonal polynomials on the unit circle are families of polynomials that are orthogonal with respect to integration over the unit circle in the

    Frits Zernike

    between various types and orders of aberrations. Zernike's orthogonal circle polynomials provided a solution to the long-standing problem of the optimum

    List of polynomial topics

    Newton polynomial Orthogonal polynomials Orthogonal polynomials on the unit circle Permutation polynomial Racah polynomials Rogers polynomials Rogers–Szegő

    Laguerre polynomials

    generalized Laguerre polynomials, as will be done here (alternatively associated Laguerre polynomials or, rarely, Sonine polynomials, after their inventor

    Trigonometric polynomial

    cos(nx) are similar to the monomial basis for polynomials. In the complex case the trigonometric polynomials are spanned by the positive and negative powers

    Curve fitting

    through the midpoint on a first degree polynomial). Low-order polynomials tend to be smooth and high order polynomial curves tend to be "lumpy". To define

    Reciprocal polynomial

    self-reciprocal polynomial satisfy ai = an−i for all i. Reciprocal polynomials have several connections with their original polynomials, including: deg

    Bernstein polynomial

    Bernstein polynomials, restricted to the interval [0, 1], became important in the form of Bézier curves. A numerically stable way to evaluate polynomials in