Note: This page has been translated by MathWorks. Please click here

To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Interpolation for 1-D, 2-D, 3-D, and N-D gridded data in ndgrid format

returns
interpolated values of a function of `Vq`

= interpn(`X1,X2,...,Xn`

,`V`

,`Xq1,Xq2,...,Xqn`

)*n* variables
at specific query points using linear interpolation. The results always
pass through the original sampling of the function. `X1,X2,...,Xn`

contain
the coordinates of the sample points. `V`

contains
the corresponding function values at each sample point. `Xq1,Xq2,...,Xqn`

contain
the coordinates of the query points.

assumes
a default grid of sample points. The default grid consists of the
points, 1,2,3,...n`Vq`

= interpn(`V`

,`Xq1,Xq2,...,Xqn`

)_{i} in each dimension. The
value of n_{i} is the length of the ith dimension
in `V`

. Use this syntax to when you want to conserve
memory and are not concerned about the absolute distances between
points.

also
specifies `Vq`

= interpn(___,`method`

,`extrapval`

)`extrapval`

, a scalar value that is assigned
to all queries that lie outside the domain of the sample points.

If you omit the `extrapval`

argument for queries
outside the domain of the sample points, then based on the `method`

argument `interpn`

returns
one of the following:

The extrapolated values for the

`'spline'`

method`NaN`

values for interpolation methods other than`'spline'`

Was this topic helpful?