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词条 Basis function
释义

  1. Examples

     Polynomial bases  Fourier basis 

  2. References

  3. See also

  4. References

{{more footnotes|date=March 2013}}

In mathematics, a basis function is an element of a particular basis for a function space. Every continuous function in the function space can be represented as a linear combination of basis functions, just as every vector in a vector space can be represented as a linear combination of basis vectors.

In numerical analysis and approximation theory, basis functions are also called blending functions, because of their use in interpolation: In this application, a mixture of the basis functions provides an interpolating function (with the "blend" depending on the evaluation of the basis functions at the data points).

Examples

Polynomial bases

The base of a polynomial is the factored polynomial equation into a linear function.[1]

Fourier basis

Sines and cosines form an (orthonormal) Schauder basis for square-integrable functions. As a particular example, the collection:

forms a basis for L2(0,1).

References

  • {{cite book |last=Ito |first=Kiyoshi |authorlink= |coauthors= |others= |title=Encyclopedic Dictionary of Mathematics |edition=2nd |year=1993 |publisher=MIT Press |location= |isbn=0-262-59020-4 | page=1141}}

See also

{{col-begin}}{{col-1-of-3}}
  • Basis (linear algebra) (Hamel basis)
  • Schauder basis (in a Banach space)
  • Dual basis
  • Biorthogonal system (Markushevich basis)
{{col-2-of-3}}
  • Orthonormal basis in an inner-product space
  • Orthogonal polynomials
  • Fourier analysis and Fourier series
  • Harmonic analysis
  • Orthogonal wavelet
  • Biorthogonal wavelet
{{col-3-of-3}}
  • Radial basis function
  • Finite-elements (bases)
  • Functional analysis
  • Approximation theory
  • Numerical analysis
{{col-end}}

References

1. ^{{Cite journal|date=2007-08-01|title=Solutions of differential equations in a Bernstein polynomial basis|url=https://www.sciencedirect.com/science/article/pii/S0377042706003153|journal=Journal of Computational and Applied Mathematics|language=en|volume=205|issue=1|pages=272–280|doi=10.1016/j.cam.2006.05.002|issn=0377-0427}}

5 : Numerical analysis|Fourier analysis|Linear algebra|Numerical linear algebra|Types of functions

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