MATLAB: This example shows how to create a griddedInterpolant and how to use it effectively to perform grid-based interp

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MATLAB:
This example shows how to create a griddedInterpolant and how to
use it effectively to perform grid-based interpolation. A grid is a
common and useful way to organize data. This data format represents
values or intensities at discrete grid point locations. Grid-based
data also fits naturally within the array-based environment MATLAB
provides. When we work with gridded data we often need to know the
values at locations other than at the grid points. Typically, we
may need to refine the grid to improve resolution or de-refine the
grid if it contains more detail than we practically need.
Grid-based interpolation provides the functionality needed to carry
out these tasks. MATLAB provides the INTERP family of functions to
support interpolation on grids that are in NDGRID or MESHGRID
format. The griddedInterpolant class provides similar capabilities.
It is designed to support the interpolation of grids in NDGRID
format and leverage memory and performance advantages where
possible. These improvements are readily apparent when
interpolating the same grid in a repeated manner. In this scenario
the overhead is accumulative. The griddedInterpolant can generally
outperform the INTERP1/2/3/N functions as it is able to cache and
reuse the same interpolating function. Use z data: in nm; edges140
135,132, center;120, 123,122,124; middle; 130,129,127,133, spread
over the “x, y” range Show all Matlab code and graphs. Upload to
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