Add ARC acknowledgement

Author: andymilne

README.md

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 For sparse data, sparse formats can significantly increase speed and reduce memory requirements. However, MATLAB’s built-in sparse format represents only vectors and matrices, not N-dimensional arrays (tensors). This toolbox contains a new "sparse array structure" and associated operations – outer, entrywise, and inner products, addition, summation, convolution, distance measures, permutation, (circular) shifts, and other manipulations – that can be applied to N-dimensional full arrays or to sparse array structures. All functions have been carefully designed to optimize speed.
 
 See SparseArrayToolbox.pdf for more information.
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+This work forms part of an Australian Research Council Discovery Early Career Researcher Award (project number DE170100353) funded by the Australian Government.