demo_TNNL.zip

Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization
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Updated 26 Aug 2014

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This code implements an unconstrained optimization algorithm based on a non-monotone truncated Newton Method.
At each iteration a truncated newton method, based on the conjugate gradient algorithm, is used to find the search direction; the step size along the search direction is computed using a nonmonotone generalization of the Armijo's line search method. This algorithm is a detailed implementation of the work presented in "A Truncated Newton Method with Nonmonotone Line Search for Unconstrained Optimization", L. Grippo, F. Lampariello, AND S. Lucidi.
For more information on Non-Monotone Line search algorithms visit my home page at http://www.marioantonelli.it/.

Cite As

Mario Antonelli (2024). demo_TNNL.zip (https://www.mathworks.com/matlabcentral/fileexchange/47649-demo_tnnl-zip), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.1.0.0

Modified description text

1.0.0.0