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pdiv.pro

Routines

result = pdiv(data, dimension [, order=order])

This function estimates the partial derivative of a multi-dimensional function, sampled on a regular grid

test

Routine details

toppdiv

result = pdiv(data, dimension [, order=order])

This function estimates the partial derivative of a multi-dimensional function, sampled on a regular grid

Return value

A grid the same size as data, giving the partial derivative along dimension at each data point

Parameters

data in required

An n-dimensional datacube, representing a function evenly sampled on a grid.

dimension in required

The dimension (1-n_dimension(data)) over which to calculate the partial derivative (df / d_dim). Defaults to 1.

Keywords

order in optional

1-3, indicating how to approximate the derivative. All methods implicitly use lagrange interpolation to express each data point as a point on a polynomial, and then differentiate that polynomial. Order=1,2,3 correspond to a (3,5,7) point interpolation scheme. Defaults to 1.

toptest

test

File attributes

Modifcation date: Tue Aug 3 15:35:05 2010
Lines: 130