edu.mines.jtk.interp

Interface Gridder2

All Known Implementing Classes:

BlendedGridder2, DiscreteSibsonGridder2, NearestGridder2, RadialGridder2, SibsonGridder2, SimpleGridder2, SplinesGridder2

public interface Gridder2

Gridded interpolation of scattered samples of 2D functions f(x1,x2). The orthogonal Cartesian grid is defined by uniform samplings of the independent variables x1 and x2. A gridder can interpolate on such a uniform sampling grid, but may or may not be capable of interpolating at other locations (x1,x2) not on the grid, depending on its implementation.

Method Summary

Methods

Modifier and Type	Method and Description
float[][]	grid(Sampling s1, Sampling s2) Computes gridded sample values from the known sample values.
void	setScattered(float[] f, float[] x1, float[] x2) Sets the known (scattered) samples.

Method Detail

setScattered

void setScattered(float[] f,
                float[] x1,
                float[] x2)

Sets the known (scattered) samples. The specified arrays may be either referenced or copied, depending on the implementation. Unless stated otherwise, assume that these arrays are referenced, not copied.

Parameters:

f - array of sample values f(x1,x2).

x1 - array of sample x1 coordinates.

x2 - array of sample x2 coordinates.

grid

float[][] grid(Sampling s1,
             Sampling s2)

Computes gridded sample values from the known sample values. Known (scattered) samples must be set before calling this method. Some implementations require that the specified samplings be uniform.

Parameters:

s1 - sampling of x1.

s2 - sampling of x2.

Returns:

array of gridded sample values.