This link has been bookmarked by 32 people . It was first bookmarked on 03 Nov 2007, by Karen Anders.
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07 Aug 14
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23 Jun 14
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interpolation is a method of constructing new data points
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20 May 14
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Interpolation
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14 Dec 13
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interpolation is a method of constructing new data points within the range of a discrete set of known data points
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This may be achieved by curve fitting or regression analysis.
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A different problem which is closely related to interpolation is the approximation of a complicated function by a simple function.
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09 Mar 13
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at the point (x,y) -
nother disadvantage is that the interpolant i
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24 Jan 13
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harmonic content of the original signal
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harmonic content of the original signal
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In curve fitting problems, the constraint that the interpolant has to go exactly through the data points is relaxed
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16 Jun 12
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16 Feb 12
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if we have n data points, there is exactly one polynomial of degree at most n−1 going through all the data points.
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The interpolation error is proportional to the distance between the data points to the power n
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oscillatory artifacts,
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at the end points (see Runge's phenomenon
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Spline interpolation uses low-degree polynomials
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the polynomial pieces
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19 Nov 10
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15 Sep 10
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09 Mar 10
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In the mathematical subfield of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
In engineering and science one often has a number of data points, as obtained by sampling or experimentation, and tries to construct a function which closely fits those data points. This is called curve fitting or regression analysis. Interpolation is a specific case of curve fitting, in which the function must go exactly through the data points.
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29 Sep 09
Katrien CattoorTechniek om fractielen uit frequentietabel met klassen te berekenen
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03 Jan 09
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10 Sep 08
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03 Nov 07
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In engineering and science one often has a number of data points, as obtained by sampling or experiment, and tries to construct a function which closely fits those data points. This is called curve fitting or regression analysis. Interpolation is a specific case of curve fitting, in which the function must go exactly through the data points.
A different problem which is closely related to interpolation is the approximation of a complicated function by a simple function. Suppose we know the function but it is too complex to evaluate efficiently. Then we could pick a few known data points from the complicated function, creating a lookup table, and try to interpolate those data points to construct a simpler function. Of course, when using the simple function to calculate new data points we usually do not receive the same result as when using the original function, but depending on the problem domain and the interpolation method used the gain in simplicity might offset the error.
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01 Oct 07
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21 Jul 05
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05 Jan 89
at the point (x,y)
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