Package | Description |
---|---|
dev.nm.analysis.curvefit | |
dev.nm.analysis.curvefit.interpolation.univariate |
Modifier and Type | Class and Description |
---|---|
class |
LeastSquares
This method obtains a least squares estimate of a polynomial to fit the input data, by a weighted
sum of orthogonal polynomials up to a specified order.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Interpolation
Interpolation is a method of constructing new data points within the range of a discrete set of
known data points.
|
Modifier and Type | Class and Description |
---|---|
class |
CubicHermite
Cubic Hermite spline interpolation is a piecewise spline interpolation, in which each polynomial
is in Hermite form which consists of two control points and two control tangents.
|
class |
CubicSpline
The cubic spline interpolation fits a cubic polynomial between each pair of
adjacent points such that adjacent cubics are continuous in their first and
second derivatives.
|
class |
LinearInterpolation
(Piecewise-)Linear interpolation fits a curve by interpolating linearly between two adjacent
data-points.
|
class |
NewtonPolynomial
Newton polynomial is the interpolation polynomial for a given set of data points in the Newton
form.
|
Copyright © 2010-2020 NM FinTech Ltd.. All Rights Reserved.