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#Com.numericalmethod.suanshu.analysis.curvefit.interpolation Classes and Interfaces - 28 results found.
NameDescriptionTypePackageFramework
BicubicInterpolationBicubic interpolation is the two-dimensional equivalent of cubic Hermite spline interpolation.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BicubicInterpolation .PartialDerivativesSpecify the partial derivatives defined at points on a BivariateGrid.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BicubicSplineBicubic splines are the two-dimensional equivalent of cubic splines.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BilinearInterpolationBilinear interpolation is the 2-dimensional equivalent of linear interpolation.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BivariateArrayGridClasscom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BivariateGridA rectilinear (meaning that grid lines are not necessarily equally-spaced) bivariate grid of double values.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BivariateGridInterpolationA bivariate interpolation, which requires the input to form a rectilinear grid.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
BivariateRegularGridA regular grid is a tessellation of n-dimensional Euclidean space by congruent parallelotopes (e.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
CubicHermiteCubic 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.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
CubicHermite .TangentThe method for computing the control tangent at a given index.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
CubicHermite .TangentsCatmull-Rom splines are a special case of Cardinal splines and are defined as: (frac{partial y}{partial x})_k = frac{y_{k+1} - y_{k-1}}{x_{k+1} - x_{k-1}}.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
CubicSplineThe (natural) cubic spline interpolation fits a cubic polynomial between each pair of adjacent points such that adjacent cubics are continuous in their first and second derivative.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
DividedDifferencesDivided differences is recursive division process for calculating the coefficients in the interpolation polynomial in the Newton form.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
InterpolationInterpolation is a method of constructing new data points within the range of a discrete set of known data points.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
LinearInterpolation(Piecewise-)Linear interpolation fits a curve by interpolating linearly between two adjacent data-points.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
LinearInterpolatorDefine a univariate function by linearly interpolating between adjacent points.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolationSuanShu
MultiCubicSpline algorithm works by recursively calling lower order cubic spline interpolation.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultiLinearInterpolation by recursively calling lower order linear interpolation.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultivariateArrayGrid MultiDimensionalCollection instance.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultivariateGridA multivariate rectilinear (not necessarily uniform) grid of double values.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultivariateGridInterpolationInterpolation on a rectilinear multi-dimensional grid.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultivariateRegularGridA regular grid is a tessellation of n-dimensional Euclidean space by congruent parallelotopes (e.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
MultivariateRegularGrid .EquallySpacedVariableSpecify the positioning and spacing along one dimension.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu
NevilleTableNeville's algorithm is a polynomial interpolation algorithm.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolationSuanShu
NewtonPolynomialNewton polynomial is the interpolation polynomial for a given set of data points in the Newton form.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.univariateSuanShu
OnlineInterpolatorAn online interpolator allows dynamically adding more points for interpolation.Interfacecom.numericalmethod.suanshu.analysis.curvefit.interpolationSuanShu
PartialDerivativesByCenteredDifferencingThis implementation computes the partial derivatives by centered differencing.Classcom.numericalmethod.suanshu.analysis.curvefit.interpolation.bivariateSuanShu
RecursiveGridInterpolationThis algorithm works by recursively calling lower order interpolation (hence the cost is exponential), until the given univariate algorithm can be used when the remaining dimensionClasscom.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariateSuanShu