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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