Geometry

   

Derivative-Based Numerical Method for Penalty-Barrier Nonlinear Programming

Authors: Martin Peter Neuenhofen

We present an NLP solver for nonlinear optimization with quadratic penalty terms and logarithmic barrier terms. The method is suitable for large sparse problems. Each iteration has a polynomial time-complexity. The method has global convergence and local quadratic convergence, with a convergence radius that depends little on our method but rather on the geometry of the problem.

Comments: 16 Pages.

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Submission history

[v1] 2018-10-26 02:32:17

Unique-IP document downloads: 17 times

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