dev.nm.analysis.curvefit.interpolation.multivariate

Interface MultivariateGrid

All Known Implementing Classes:

MultivariateArrayGrid, MultivariateRegularGrid

public interface MultivariateGrid

A multivariate rectilinear (not necessarily uniform) grid of double values. The independent variables are labeled \(x_{i}\) and the dependent variable is y. Each independent variable adds another dimension to the grid.

Method Summary

Modifier and Type	Method and Description
int	dimension() Get the total number of dimensions of the grid.
int	size(int i) Get the size of the grid in the given dimension \(x_{i}\).
double[]	x(int i) Get all the values of the independent variable \(x_{i}\) as an array.
double	x(int i, int j) Get the value of the independent variable \(x_{i}\) at the given index.
double	y(int... indices) Get the value of the dependent variable y at the given indices in the grid.

Method Detail

y

double y(int... indices)

Get the value of the dependent variable y at the given indices in the grid.

Parameters:

indices - the indices of the independent variables in the grid

Returns:

\(y(\mathbf{x})\), the value of the dependent variable at \(\mathbf{x}\)

x

double x(int i,
         int j)

Get the value of the independent variable \(x_{i}\) at the given index.

Parameters:

i - the dimension index of the independent variable \(x_{i}\)

j - the index of the value in the specified dimension \(x_{i}\)

Returns:

\(x_{i,j}\)

x

double[] x(int i)

Get all the values of the independent variable \(x_{i}\) as an array.

Parameters:

i - the dimension index of the independent variable \(x_{i}\)

Returns:

\(x_i\)'s

size

int size(int i)

Get the size of the grid in the given dimension \(x_{i}\).

Parameters:

i - the dimension index of the independent variable \(x_{i}\)

Returns:

the size of the dimension

dimension

int dimension()

Get the total number of dimensions of the grid.

Returns:

the number of dimensions