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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 (2026). modified_newton (https://se.mathworks.com/matlabcentral/fileexchange/53436-modified_newton), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Adaptive Robust Numerical Differentiation
General Information
- Version 1.0.0.0 (22.8 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
