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# interp2d

bicubic spline (2d) evaluation function

### Calling Sequence

[zp[, dzpdx, dzpdy[, d2zpdxx, d2zpdxy, d2zpdyy]]]=interp2d(xp, yp, x, y, C [,out_mode])

### Arguments

- xp
a mx-by-my matrix of doubles, the

`x`

coordinates of the points where the spline is to be evaluated.- yp
a mx-by-my matrix of doubles, the

`y`

coordinates of the points where the spline is to be evaluated.- x
a 1-by-nx matrix of doubles, the

`x`

coordinate of the interpolation points. We must have x(i)<x(i+1), for i=1,2,...,nx-1.- y
a 1-by-ny matrix of doubles, the

`y`

coordinate of the interpolation points. We must have y(i)<y(i+1), for i=1,2,...,ny-1.- C
The coefficients of the bicubic spline. The input argument of the interp2d function is the output argument of the splin2d function.

- out_mode
a 1-by-1 matrix of strings, the evaluation of s outside the range [x(1),x(nx)] by [y(1),y(ny)].

- zp
a mx-by-my matrix of doubles, the evaluation of the

`z`

coordinate of the spline, i.e. zp(i,j)=s(xp(i,j),yp(i,j)), for i=1,2,...,mx and j = 1,2,...,my.- dzpdx
a mx-by-my matrix of doubles, the first derivative of the spline with respect to

`x`

.- dzpdy
a mx-by-my matrix of doubles, the first derivative of the spline with respect to

`y`

.- d2zpdxx
a mx-by-my matrix of doubles, the second derivative of the spline with respect to

`x`

.- d2zpdxy
a mx-by-my matrix of doubles, the second derivative of the spline with respect to

`x`

and`y`

.- d2zpdyy
a mx-by-my matrix of doubles, the second derivative of the spline with respect to

`y`

.

### Description

Given three vectors `(x,y,C)`

defining a bicubic
spline or sub-spline function (see splin2d)
this function evaluates *s* (and *ds/dx,
ds/dy, d2s/dxx, d2s/dxy, d2s/dyy*
if needed) at
*(xp(i),yp(i))* :

The `out_mode`

parameter defines the evaluation
rule for extrapolation, i.e. for *(xp(i),yp(i)) not in
[x(1),x(nx)]x[y(1),y(ny)]*
:

- "by_zero"
an extrapolation by zero is done

- "by_nan"
extrapolation by Nan

- "C0"
the extrapolation is defined as follows :

- "natural"
the extrapolation is done by using the nearest bicubic-patch from (x,y).

- "periodic"
`s`

is extended by periodicity.

### Examples

n = 7; // a n x n interpolation grid x = linspace(0,2*%pi,n); y = x; z = cos(x')*cos(y); C = splin2d(x, y, z, "periodic"); // now evaluate on a bigger domain than [0,2pi]x [0,2pi] m = 80; // discretisation parameter of the evaluation grid xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx; [XX,YY] = ndgrid(xx,yy); zz1 = interp2d(XX,YY, x, y, C, "C0"); plot3d(xx, yy, zz1, flag=[2 6 4]) xtitle("extrapolation with the C0 outmode")

n = 7; // a n x n interpolation grid x = linspace(0,2*%pi,n); y = x; z = cos(x')*cos(y); C = splin2d(x, y, z, "periodic"); // now evaluate on a bigger domain than [0,2pi]x [0,2pi] m = 80; // discretisation parameter of the evaluation grid xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx; [XX,YY] = ndgrid(xx,yy); zz2 = interp2d(XX,YY, x, y, C, "by_zero"); plot3d(xx, yy, zz2, flag=[2 6 4]) xtitle("extrapolation with the by_zero outmode")

n = 7; // a n x n interpolation grid x = linspace(0,2*%pi,n); y = x; z = cos(x')*cos(y); C = splin2d(x, y, z, "periodic"); // now evaluate on a bigger domain than [0,2pi]x [0,2pi] m = 80; // discretisation parameter of the evaluation grid xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx; [XX,YY] = ndgrid(xx,yy); zz3 = interp2d(XX,YY, x, y, C, "periodic"); plot3d(xx, yy, zz3, flag=[2 6 4]) xtitle("extrapolation with the periodic outmode")

n = 7; // a n x n interpolation grid x = linspace(0,2*%pi,n); y = x; z = cos(x')*cos(y); C = splin2d(x, y, z, "periodic"); // now evaluate on a bigger domain than [0,2pi]x [0,2pi] m = 80; // discretisation parameter of the evaluation grid xx = linspace(-0.5*%pi,2.5*%pi,m); yy = xx; [XX,YY] = ndgrid(xx,yy); zz4 = interp2d(XX,YY, x, y, C, "natural"); plot3d(xx, yy, zz4, flag=[2 6 4]) xtitle("extrapolation with the natural outmode")

### See Also

- splin2d — bicubic spline gridded 2d interpolation

### History

Version | Description |

5.4.0 | Previously, imaginary part of input arguments were implicitly ignored. |

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