Least-squares function approximation
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 differences between the two.
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- enIn 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 differences between the two.
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- enIn 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 differences between the two.
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- Category:Approximation theory
- Category:Least squares
- Complex conjugate
- Fejér's theorem
- Fourier series
- Function approximation
- Function space
- Generalized Fourier series
- Kronecker delta
- Least squares
- Lebesgue measure
- Mathematics
- Orthogonal
- Orthogonal functions
- Orthonormal set
- Parseval's identity
- Pythagorean theorem
- Real number
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- 4q6F7
- Aproksymacja średniokwadratowa
- Least-squares function approximation
- m.0j28 wb
- Q6510405
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- Fourier series
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- Category:Approximation theory
- Category:Least squares
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