Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence - researchr publication related

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Andreas Wächter, Lorenz T. Biegler. Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence. SIAM Journal on Optimization, 16(1):1-31, 2005. [doi]

The following publications are possibly variants of this publication:

Line Search Filter Methods for Nonlinear Programming: Local ConvergenceAndreas Wächter, Lorenz T. Biegler. siamjo, 16(1):32-48, 2005. [doi]

On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programmingAndreas Wächter, Lorenz T. Biegler. mp, 106(1):25-57, 2006. [doi]

Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear ProgrammingRoger Fletcher, Nicholas I. M. Gould, Sven Leyffer, Philippe L. Toint, Andreas Wächter. siamjo, 13(3):635-659, 2002. [doi]

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