This function finds an optimal solution for unconstrained nonlinear optimization problems. It implements a globally and quadratically convergent Algorithm designed for both convex and non-convex functions proposed in: [Y. Yang, A globally and quadratically convergent algorithm with efficient implementation for unconstrained optimization, Computational and Applied Mathematics (2015) 34 (3):1219–1236.
Yaguang Yang (2021). modified_newton (https://www.mathworks.com/matlabcentral/fileexchange/53436-modified_newton), MATLAB Central File Exchange. Retrieved .
Inspired by: Adaptive Robust Numerical Differentiation
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