Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/S1052623403426556
Reference19 articles.
1. A Pattern Search Filter Method for Nonlinear Programming without Derivatives
2. A trust region method based on interior point techniques for nonlinear programming
3. A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds
4. On the formulation and theory of the Newton interior-point method for nonlinear programming
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