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Design Issues in Algorithms for Large Scale Nonlinear Programming
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A trust region method based on interior point techniques for nonlinear programming
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3
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Interior-Point l_2-Penalty Methods for Nonlinear Programming with Strong Global Convergence Properties
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8
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Nonmonotone Trust Region Methods for Nonlinear Equality Constrained Optimization without a Penalty Function
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49
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Interior methods for nonlinear optimization
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6
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A Convergent Infeasible Interior-Point Trust-Region Method For Constrained Minimization
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9
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A feasible BFGS interior point algorithm for solving strongly convex minimization problems
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7
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SQP methods for large-scale nonlinear programming
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16
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The Interior-Point Revolution in Constrained Optimization
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10
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Feasible Interior Methods Using Slacks for Nonlinear Optimization
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7
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Interior Point Multigrid Methods For Topology Optimization
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22
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On the local behavior of an interior point method for nonlinear programming
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8
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The interior-point revolution in optimization: history, recent developments, and lasting consequences
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22
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A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties
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5
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Assessing the Potential of Interior Methods for Nonlinear Optimization
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5
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Feasibility Control in Nonlinear Optimization
– M. Marazzi, Jorge Nocedal
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8
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A robust primal-dual interior point algorithm for nonlinear programs
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52
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On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
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239
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Snopt: An SQP Algorithm For Large-Scale Constrained Optimization
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