The algorithm is entirely well described in the original work [1]. Briefly, it is a gradient descent method that computes simplex with the smallest volume around (M-1)-dimensional data points. A ...
This repository provides a Python-based framework for computing approximations of gradients, Hessians, and experimental third-order derivatives, with additional MATLAB implementations. The main ...
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