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NevillePolynomialInterpolation Class

Lagrange Polynomial Interpolation using Neville's Algorithm.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.InterpolationNevillePolynomialInterpolation

Namespace: Altaxo.Calc.Interpolation
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
public class NevillePolynomialInterpolation : IInterpolation

The NevillePolynomialInterpolation type exposes the following members.

Constructors
 NameDescription
Public methodNevillePolynomialInterpolationInitializes a new instance of the NevillePolynomialInterpolation class
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Methods
 NameDescription
Public methodDifferentiate Differentiate at point t.
Public methodDifferentiate2 Differentiate twice at point t.
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodInterpolate(Double) Interpolate at point t.
Public methodStatic memberInterpolate(IEnumerableDouble, IEnumerableDouble) Create a Neville polynomial interpolation from an unsorted set of (x,y) value pairs.
Public methodStatic memberInterpolateInplace Create a Neville polynomial interpolation from an unsorted set of (x,y) value pairs. WARNING: Works in-place and can thus causes the data array to be reordered.
Public methodStatic memberInterpolateSorted Create a Neville polynomial interpolation from a set of (x,y) value pairs, sorted ascendingly by x.
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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Remarks

This algorithm supports differentiation, but doesn't support integration.

When working with equidistant or Chebyshev sample points it is recommended to use the barycentric algorithms specialized for these cases instead of this arbitrary Neville algorithm.

See Also