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Interior-Point l_2-Penalty Methods for Nonlinear Programming with Strong Global Convergence Properties
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Design Issues in Algorithms for Large Scale Nonlinear Programming
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A Convergent Infeasible Interior-Point Trust-Region Method For Constrained Minimization
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A Line Search Exact Penalty Method Using Steering Rules
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Steering Exact Penalty Methods for Nonlinear Programming
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An interior algorithm for nonlinear optimization that combines line search and trust region steps
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