Description: The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods.
In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
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File list (Check if you may need any files):
integratedgradient
..................\.DS_Store
..................\consolidator.m
..................\intgrad1.m
..................\intgrad2.m
..................\intgrad3.m
..................\ReadMe.m
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