Nocedal, Jorge - Department of Electrical and Computer Engineering, Northwestern University

• On the Solution of Equality Constrained Quadratic Programming Problems Arising in Optimization
• Combining Trust Region and Line Search Jorge Nocedal
• Steplength Selection in InteriorPoint Methods for Quadratic Programming \Lambda
• A REDUCED HESSIAN METHOD FOR LARGE-SCALE CONSTRAINED OPTIMIZATION
• Assessing the Potential of Interior Methods for Nonlinear Optimization
• OPTIMIZATION TECHNOLOGY CENTER TOWARDS A DISCRETE NEWTON METHOD WITH MEMORY
• An Interior Algorithm for Nonlinear Optimization That Combines Line Search and Trust Region Steps
• Infeasibility Detection and SQP Methods for Nonlinear Optimization
• Knitro: An Integrated Package for Nonlinear Optimization Richard H. Byrd
• An Interior Algorithm for Nonlinear Optimization That Combines Line Search and Trust Region Steps
• Noname manuscript No. (will be inserted by the editor)
• Adaptive Barrier Update Strategies for Nonlinear Interior Jorge Nocedal # Andreas Wachter + Richard A. Waltz #
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• On the Convergence of Successive LinearQuadratic Programming Algorithms
• Feasible Interior Methods Using Slacks for Nonlinear Optimization
• Steering Exact Penalty Methods Richard H. Byrd \Lambda Jorge Nocedal y Richard A. Waltz y
• On the Convergence of Newton Iterations to Non-Stationary Points
• OPTIMIZATION TECHNOLOGY CENTER Argonne National Laboratory and Northwestern University
• RAL-TR-97-071 The modi ed absolute-value factorization
• Algorithm PREQN: Fortran 77 Subroutines for Preconditioning the Conjugate Gradient Method
• On the Solution of Complementarity Problems Arising in American Options Pricing
• Corrections to First Printing of NocedalWright To make it easier for the typesetter, we have included in many cases an explicit correction
• A MATRIX-FREE ALGORITHM FOR EQUALITY CONSTRAINED OPTIMIZATION PROBLEMS WITH RANK-DEFICIENT
• On the Geometry Phase in Model-Based Algorithms for Derivative-Free Optimization
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• CURRICULUM VITAE JORGE NOCEDAL
• Curriculum Vitae Jorge Nocedal
• An Algorithm for the Fast Solution of Symmetric Linear Complementarity Problems
• Data Assimilation in Weather Forecasting: A Case Study in PDE-Constrained Optimization
• Steplength Selection in Interior-Point Methods for Quadratic Programming
• Interior Methods for Mathematical Programs with Complementarity Constraints
• An Active-Set Algorithm for Nonlinear Programming Using Linear Programming and Equality Constrained Subproblems
• Wedge Trust Region Methods for Derivative Free Optimization Marcelo Marazziy Jorge Nocedalz
• Feasibility Control in Nonlinear Optimization y Jorge Nocedal
• Algorithm PREQN: Fortran 77 Subroutines for Preconditioning the Conjugate Gradient Method
• A Trust Region Method Based on Interior Point Techniques for Nonlinear Programming
• On the Behavior of the Gradient Norm in the Steepest Descent Method
• An Interior Point Algorithm for Large Scale Nonlinear Programming
• ON THE IMPLEMENTATION OF AN ALGORITHM FOR LARGE-SCALE EQUALITY CONSTRAINED OPTIMIZATION
• On the Local Behavior of an Interior Point Method for Nonlinear Programming
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• Acta Numerica (1992), {199:242 Theory of Algorithms for Unconstrained
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• Corrections to First Printing of Nocedal-Wright To make it easier for the typesetter, we have includedin many cases an explicit correction
• Corrections to Second Printing of Numerical Optimization (Last updated October 2, 2008)
• IMA Journal of Numerical Analysis (2005) Page 1 of 19 doi: 10.1093/imanum/dri017
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• Adaptive Barrier Update Strategies for Nonlinear Interior Jorge Nocedal
• On the Use of Piecewise Linear Models in Nonlinear Programming
• Steering Exact Penalty Methods for Nonlinear Programming
• NORTHWESTERN UNIVERSITY Department of Electrical Engineering
• Algorithm PREQN: Fortran 77 Subroutines for Preconditioning the Conjugate Gradient Method
• Corrections to Numerical Optimization, Second Edition Published August 2006
• Automatic Preconditioning by Limited Memory Quasi-Newton Updating
• On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning
• Corrections to Second Printing of Numerical Optimization (Last updated October 2, 2008)
• Interior Methods for Mathematical Programs with Complementarity Constraints #
• A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained
• Enriched Methods for Large-Scale Unconstrained Optimization.
• Remark on "Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound Constrained Optimization"
• Sample Size Selection in Optimization Methods for Machine Richard H. Byrd