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In numerical analysis, polynomial interpolation is the interpolation of a given data set by the polynomial of lowest possible degree that passes through the points in the dataset.
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Explore the main themes, entities and connections around Polynomial interpolation. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Polynomial interpolation | is a | interpolation of a given data set by the polynomial of lowest possible degree that passes through the points in the dataset.Given a set of n | 0.90 | text |
| natural logarithm | instance of | ApplicationsThe original use of interpolation polynomials was to approximate values of important transcendental functions | 0.80 | text |
| trigonometric functions | instance of | ApplicationsThe original use of interpolation polynomials was to approximate values of important transcendental functions | 0.80 | text |
| Polynomial interpolation | has application | The | 0.60 | section |
| Polynomial interpolation | has application | Starting | 0.60 | section |
| Polynomial interpolation | has application | Polynomial | 0.60 | section |
| Polynomial interpolation | has application | Simpson's | 0.60 | section |
| Polynomial interpolation | has application | In | 0.60 | section |
| Polynomial interpolation | has application | This | 0.60 | section |
| Polynomial interpolation | has application | Bézier | 0.60 | section |
| Polynomial interpolation | related to External links | Interpolation | 0.60 | section |
| Polynomial interpolation | related to External links | Encyclopedia | 0.60 | section |
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