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LERP: fast n-dimensional linear interpolation & extrapolation

version (2.63 KB) by Sky Sartorius
Interpolate from X and Y data and n-dim array. Can also extrapolate above/below X if desired.

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Updated 27 Nov 2012

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LERP is akin to the Matlab function INTERP1Q and can be used with the same syntax as INTERP1Q with the same results at comparable speed. However, LERP has the following features and capabilities to set it apart from INTERP1Q and others:
•Vectorization allows LERP to be much faster that built-in MATLAB interpolation functions for some applications that would otherwise require many looped function calls.
•XI may be an n-dim array
•Y may be a column vector or a matrix (as in INTERP1Q)
•If Y is a matrix and XI is an array with N dimensions, F will have N+1 dimensions. The first N dimensions correspond to size(XI), and the N+1 dimension is size(Y,2).
•F=LERP(X,Y,XI,EXTRAP) will expand the function domain (defined in coordinates X) with linear extrapolation by a distance EXTRAP in either direction. EXTRAP may also be a 2-element vector with the first element defining the extrapolation distance below the beginning of X and the second element defining the extrapolation distance beyond the final value of X.

LERP has similar limitations to INTERP1Q

Example: interpolation for log and log10 functions with plot comparing extrapolation to reality
X = (linspace(.01, 2, 7)').^2;
Y = [log(X) log10(X)];
XI = magic(7)*.2 - .5;
F = lerp(X, Y, XI, [0 4])
x = linspace(4,8);

Cite As

Sky Sartorius (2021). LERP: fast n-dimensional linear interpolation & extrapolation (, MATLAB Central File Exchange. Retrieved .

Comments and Ratings (2)

Sky Sartorius

Titas, n-d refers to the types of arrays than can be used as inputs for the (1-d) interpolation.

Titas Bucelis

How is this n-Dimensional interpolation?

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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