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#Com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate Classes and Interfaces - 8 results found.
| Name | Description | Type | Package | Framework |
| MultiCubicSpline | algorithm works by recursively calling lower order cubic spline interpolation. | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultiLinearInterpolation | by recursively calling lower order linear interpolation. | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultivariateArrayGrid | MultiDimensionalCollection instance. | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultivariateGrid | A multivariate rectilinear (not necessarily uniform) grid of double values. | Interface | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultivariateGridInterpolation | Interpolation on a rectilinear multi-dimensional grid. | Interface | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultivariateRegularGrid | A regular grid is a tessellation of n-dimensional Euclidean space by congruent parallelotopes (e. | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| MultivariateRegularGrid .EquallySpacedVariable | Specify the positioning and spacing along one dimension. | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |
| RecursiveGridInterpolation | This algorithm works by recursively calling lower order interpolation (hence the cost is exponential), until the given univariate algorithm can be used when the remaining dimension | Class | com.numericalmethod.suanshu.analysis.curvefit.interpolation.multivariate | SuanShu |