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version (22.8 KB) by Yaguang Yang
This software finds an optimal solution for any smooth nonlinear function provided by users.


Updated 09 Oct 2015

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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.

Cite As

Yaguang Yang (2022). modified_newton (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2006a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired by: Adaptive Robust Numerical Differentiation

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