J. Nocedal

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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 2000 .

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 2018, Fundamental Statistical Inference.

Updating Quasi-Newton Matrices With Limited Storage

J. Nocedal, 1980 .

Global Convergence of a Class of Quasi-newton Methods on Convex Problems, Siam Some Global Convergence Properties of a Variable Metric Algorithm for Minimization without Exact Line Searches, Nonlinear Programming, Edited

J. Nocedal, R. Byrd, Ya-Xiang Yuan, 1996 .

A trust region method based on interior point techniques for nonlinear programming

Jorge Nocedal, Richard H. Byrd, Jean Charles Gilbert, 2000, Math. Program..

A tool for the analysis of Quasi-Newton methods with application to unconstrained minimization

J. Nocedal, R. Byrd, 1989 .

Fundamentals of Unconstrained Optimization

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization

Jorge Nocedal, Richard H. Byrd, Ciyou Zhu, 1997, TOMS.

Theory of algorithms for unconstrained optimization

Jorge Nocedal, J. Nocedal, 1992, Acta Numerica.

An Interior Point Algorithm for Large-Scale Nonlinear Programming

Jorge Nocedal, Richard H. Byrd, Mary E. Hribar, 1999, SIAM J. Optim..

A Limited Memory Algorithm for Bound Constrained Optimization

J. Nocedal, R. Byrd, P. Lu, 1995, SIAM J. Sci. Comput..

Optimization Methods for Large-Scale Machine Learning pdf

Jorge Nocedal, Léon Bottou, Frank E. Curtis, 2016, SIAM Rev..

An inexact successive quadratic approximation method for L-1 regularized optimization

J. Nocedal, R. Byrd, Figen Oztoprak, 2013, Mathematical Programming.

TOWARDS A DISCRETE NEWTON METHOD WITH MEMORY FOR LARGE(cid:1)SCALE OPTIMIZATION (cid:1)

J. Nocedal, R. Byrd, Ciyou Zhu, 1996 .

On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning

Jorge Nocedal, Richard H. Byrd, Will Neveitt, 2011, SIAM J. Optim..

On the Solution of Equality Constrained Quadratic Programming Problems Arising in Optimization

Nicholas I. M. Gould, Jorge Nocedal, Mary E. Hribar, 2001, SIAM J. Sci. Comput..

On the Implementation of an Algorithm for Large-Scale Equality Constrained Optimization

Jorge Nocedal, Todd Plantenga, Marucha Lalee, 1998, SIAM J. Optim..

On the Local Behavior of an Interior Point Method for Nonlinear Programming

Jorge Nocedal, J. Nocedal, 1997 .

On the limited memory BFGS method for large scale optimization

Jorge Nocedal, Dong C. Liu, J. Nocedal, 1989, Math. Program..

Sample size selection in optimization methods for machine learning

Jorge Nocedal, Richard H. Byrd, Yuchen Wu, 2012, Math. Program..

A Stochastic Quasi-Newton Method for Large-Scale Optimization

Jorge Nocedal, Yoram Singer, Richard H. Byrd, 2014, SIAM J. Optim..

On the Behavior of Broyden's Class of Quasi-Newton Methods

Jorge Nocedal, Richard H. Byrd, Dong C. Liu, 1992, SIAM J. Optim..

Analysis of a self-scaling quasi-Newton method

Jorge Nocedal, Ya-Xiang Yuan, J. Nocedal, 1993, Math. Program..

The modified absolute-value factorization norm for trust-region minimization

J. Nocedal, N. Gould, 1998 .

A Reduced Hessian Method for Large-Scale Constrained Optimization

Jorge Nocedal, Lorenz T. Biegler, Claudia Schmid, 1995, SIAM J. Optim..

Automatic Column Scaling Strategies for Quasi-Newton Methods

Jorge Nocedal, Marucha Lalee, J. Nocedal, 1993, SIAM J. Optim..

The Performance of Several Algorithms for Large Scale Unconstrained Optimization

Jorge Nocedal, J. Nocedal, 1990 .

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima pdf

Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang, 2016, ICLR.

Representations of quasi-Newton matrices and their use in limited memory methods

Jorge Nocedal, Richard H. Byrd, Bobby Schnabel, 1994, Math. Program..

Automatic differentiation and the step computation in the limited memory BFGS method

Jean Charles Gilbert, J. Nocedal, 1993 .

Global Convergence Properties of Conjugate Gradient Methods for Optimization

Jorge Nocedal, Jean Charles Gilbert, J. Nocedal, 1992, SIAM J. Optim..

An analysis of reduced Hessian methods for constrained optimization

Jorge Nocedal, Richard H. Byrd, J. Nocedal, 1991, Math. Program..

Exact and Inexact Subsampled Newton Methods for Optimization

J. Nocedal, R. Byrd, Raghu Bollapragada, 2016, 1609.08502.

Automatic Preconditioning by Limited Memory Quasi-Newton Updating

Jorge Nocedal, José Luis Morales, J. Nocedal, 1999, SIAM J. Optim..

Penalty, Barrier, and Augmented Lagrangian Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Sequential Quadratic Programming

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Springer Series in Operations Research

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

The use of linear programming for the solution of sparse sets of nonlinear equations

J. Nocedal, I. Duff, J. Reid, 1987 .

Quasi-Newton Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Conjugate Gradient Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Linear Programming: Interior-Point Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

On the Convergence of Successive Linear-Quadratic Programming Algorithms

Nicholas I. M. Gould, Jorge Nocedal, Richard H. Byrd, 2005, SIAM J. Optim..

Algorithms for large-scale nonlinear optimization

J. Nocedal, R. A. Waltz, 2002 .

An active set algorithm for nonlinear programming using linear programming and equality constrain

J. Nocedal, R. Byrd, N. Gould, 2002 .

SIAM Journal on Optimization

Nicholas I. M. Gould, Stefan Ulbrich, Masao Fukushima, 2012 .

A Trust Region Method for the Optimization of Noisy Functions

Jorge Nocedal, Shigeng Sun, J. Nocedal, 2022, 2201.00973.

A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization

Jorge Nocedal, Stephen G. Nash, J. Nocedal, 1991, SIAM J. Optim..

On the convergence of Newton iterations to non-stationary points

Jorge Nocedal, Richard H. Byrd, Marcelo Marazzi, 2004, Math. Program..

An algorithm for nonlinear optimization using linear programming and equality constrained subproblems

Nicholas I. M. Gould, Jorge Nocedal, Richard H. Byrd, 2004, Math. Program..

Feasible Interior Methods Using Slacks for Nonlinear Optimization

Jorge Nocedal, Richard H. Byrd, Richard A. Waltz, 2003, Comput. Optim. Appl..

Large-scale constrained optimization

Jorge Nocedal, Mary E. Hribar, J. Nocedal, 1996 .

Knitro: An Integrated Package for Nonlinear Optimization

Jorge Nocedal, Richard H. Byrd, Richard A. Waltz, 2006 .

Adaptive Barrier Strategies for Nonlinear Interior Methods

J. Nocedal, R. A. Waltz, A. Wächter, 2022 .

Steering exact penalty methods for nonlinear programming

Jorge Nocedal, Richard H. Byrd, Richard A. Waltz, 2008, Optim. Methods Softw..

Evaluation of step directions in optimization algorithms

Jorge Nocedal, William C. Davidon, J. Nocedal, 2018, TOMS.

A Conic Algorithm for Optimization

J. Nocedal, H. Gourgeon, 1985 .

Infeasibility Detection and SQP Methods for Nonlinear Optimization

Jorge Nocedal, Richard H. Byrd, Frank E. Curtis, 2010, SIAM J. Optim..

A Line Search Penalty Method for Nonlinear Optimization

J. Nocedal, R. Byrd, Gabriel López-Calva, .

An algorithm for quadratic ℓ1-regularized optimization with a flexible active-set strategy

Jorge Nocedal, Richard H. Byrd, Stefan Solntsev, 2014, Optim. Methods Softw..

On the use of piecewise linear models in nonlinear programming

Jorge Nocedal, Richard H. Byrd, Richard A. Waltz, 2013, Math. Program..

A sequential quadratic programming algorithm with an additional equality constrained phase

J. Nocedal, Yuchen Wu, J. Morales, 2012 .

An inexact successive quadratic approximation method for L-1 regularized optimization

Jorge Nocedal, Richard H. Byrd, Figen Öztoprak, 2016, Math. Program..

An inexact Newton method for nonconvex equality constrained optimization

Jorge Nocedal, Richard H. Byrd, Frank E. Curtis, 2009, Math. Program..

Enriched Methods for Large-Scale Unconstrained Optimization

Jorge Nocedal, José Luis Morales, J. Nocedal, 2002, Comput. Optim. Appl..

Combining Trust Region and Line Search Techniques

Jorge Nocedal, J. Nocedal, 1998 .

On the Convergence of Successive Linear Programming Algorithms

Nicholas I. M. Gould, Jorge Nocedal, Richard H. Byrd, 2003 .

An active-set algorithm for nonlinear programming using linear programming and equality constained subproblems

J. Nocedal, R. Byrd, N. Gould, 2003 .

A line search exact penalty method using steering rules

Jorge Nocedal, Richard H. Byrd, Gabriel López-Calva, 2010, Mathematical Programming.

Mechanics in the Engineering First curriculum at northwestern university

Ted Belytschko, Jorge Nocedal, Michael A. Peshkin, 1997 .

Line Search Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Newton-Like Methods for Sparse Inverse Covariance Estimation

Jorge Nocedal, Peder A. Olsen, Figen Öztoprak, 2012, NIPS.

Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering

Jorge Nocedal, Peder A. Olsen, Steven J. Rennie, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Theory of Constrained Optimization

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Assessing the Potential of Interior Methods for Nonlinear Optimization

Jorge Nocedal, Guanghui Liu, Richard A. Waltz, 2003 .

On the geometry phase in model-based algorithms for derivative-free optimization

Jorge Nocedal, Giovanni Fasano, José Luis Morales, 2009, Optim. Methods Softw..

An investigation of Newton-Sketch and subsampled Newton methods

Jorge Nocedal, Albert S. Berahas, Raghu Bollapragada, 2017, Optim. Methods Softw..

Subspace Accelerated Matrix Splitting Algorithms for Asymmetric and Symmetric Linear Complementarity Problems

Daniel P. Robinson, Jorge Nocedal, Jong-Shi Pang, 2013, SIAM J. Optim..

A starting point strategy for nonlinear interior methods

Jorge Nocedal, E. Michael Gertz, Annick Sartenaer, 2004, Appl. Math. Lett..

Interior Methods for Mathematical Programs with Complementarity Constraints

Jorge Nocedal, Sven Leyffer, Gabriel López-Calva, 2006, SIAM J. Optim..

An interior algorithm for nonlinear optimization that combines line search and trust region steps

Jorge Nocedal, Dominique Orban, Richard A. Waltz, 2006, Math. Program..

Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”

Jorge Nocedal, José Luis Morales, J. Nocedal, 2011, TOMS.

An algorithm for the fast solution of symmetric linear complementarity problems

Jorge Nocedal, Mikhail Smelyanskiy, José Luis Morales, 2008, Numerische Mathematik.

Adaptive Barrier Update Strategies for Nonlinear Interior Methods

Jorge Nocedal, Andreas Wächter, Richard A. Waltz, 2008, SIAM J. Optim..

A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization

Jorge Nocedal, Richard A. Waltz, Long Hei, 2006, HPSC.

On the solution of complementarity problems arising in American options pricing

Jorge Nocedal, Vadim Linetsky, José Luis Morales, 2010, Optim. Methods Softw..

Wedge trust region methods for derivative free optimization

Jorge Nocedal, Marcelo Marazzi, J. Nocedal, 2002, Math. Program..

Algorithm 809: PREQN: Fortran 77 subroutines for preconditioning the conjugate gradient method

Jorge Nocedal, José Luis Morales, J. Nocedal, 2001, TOMS.

Steplength selection in interior-point methods for quadratic programming

Jorge Nocedal, Frank E. Curtis, J. Nocedal, 2007, Appl. Math. Lett..

Analysis of a new algorithm for one-dimensional minimization

Petter Bjørstad, Jorge Nocedal, J. Nocedal, 1979, Computing.

Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization

Jorge Nocedal, Lorenz T. Biegler, Claudia Schmid, 1995, SIAM J. Optim..

Four quadratically convergent methods for solving inverse eigenvalue problems

J. Nocedal, M. Overton, S. Friedland, 1986 .

Conjugate direction methods with variable storage

Jorge Nocedal, Larry Nazareth, J. Nocedal, 1982, Math. Program..

A family of second-order methods for convex $$\ell _1$$ℓ1-regularized optimization

Jorge Nocedal, Richard H. Byrd, Figen Öztoprak, 2016, Math. Program..

Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods

Jorge Nocedal, Albert S. Berahas, Richard H. Byrd, 2018, SIAM J. Optim..

Flexible penalty functions for nonlinear constrained optimization

Frank E. Curtis, J. Nocedal, 2008 .

An Inexact SQP Method for Equality Constrained Optimization

Jorge Nocedal, Richard H. Byrd, Frank E. Curtis, 2008, SIAM J. Optim..

On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations

Jorge Nocedal, Figen Oztoprak, Hao-Jun Michael Shi, 2021, 2102.09762.

The Formulation and Analysis of Numerical Methods for Inverse Eigenvalue Problems

J. Nocedal, M. Overton, S. Friedland, 2015 .

A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians

Jorge Nocedal, Andreas Wächter, Frank E. Curtis, 2009, SIAM J. Optim..

Large Scale Unconstrained Optimization

Jorge Nocedal, J. Nocedal, 1997 .

An interior point method for nonlinear programming with infeasibility detection capabilities

Jorge Nocedal, Figen Öztoprak, Richard A. Waltz, 2014, Optim. Methods Softw..

Data assimilation in weather forecasting: a case study in PDE-constrained optimization

Stephen J. Wright, Jorge Nocedal, Yannick Trémolet, 2009 .

Linear Programming: The Simplex Method

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

On the Behavior of the Gradient Norm in the Steepest Descent Method

Jorge Nocedal, Ciyou Zhu, Annick Sartenaer, 2002, Comput. Optim. Appl..

iNEOS: an interactive environment for nonlinear optimization

J. Nocedal, V. Pereyra, Jean-Pierre Goux, 2002 .

Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization

J. Nocedal, M. Overton, 2015 .

Steering Exact Penalty Methods for Optimization

J. Nocedal, R. Byrd, R. A. Waltz, 2006 .

Numerical Methods for Solving Inverse Eigenvalue Problems

J. Nocedal, M. Overton, 2017 .

Worthen's Sparrow (Spizella wortheni) in the Northern Mexican Plateau

J. Nocedal, Laura M. Scott-Morales, Mauricio Cotera, 2008 .

7 Combining Trust Region and Line Search Techniques

J. Nocedal, Ya-Xiang Yuan, 2022 .

Practical Newton Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Trust region algorithms for solving large systems of nonlinear equations

Jorge Nocedal, J. Nocedal, 1984 .

Algorithms and software for large scale optimization

Jorge Nocedal, J. Nocedal, 1990 .

Recent Advances in Large-scale Nonlinear Optimization: State of the Art 1994

Jorge Nocedal, J. Nocedal, 1994 .

Viewing the conjugate gradient method as a trust region algorithm

Jorge Nocedal, J. Nocedal, 1986 .

PREQN: FORTRAN Routines for Preconditioning the Conjugate Gradient Method

Jorge Nocedal, José Luis Morales, J. Nocedal, 1999 .

Fundamentals of Algorithms for Nonlinear Constrained Optimization

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Trust-Region Methods

Stephen J. Wright, Jorge Nocedal, J. Nocedal, 1999 .

Nonlinear Optimization Methods for Large-Scale Learning

Jorge Nocedal, J. Nocedal, 2019 .

Solutions to Selected Problems in NUMERICAL OPTIMIZATION

Stephen J. Wright, Jorge Nocedal, Frank E. Curtis, 2006 .

Limited Memory BFGS Minimizer with Bounds on Parameters

J. Nocedal, R. Byrd, Ciyou Zhu, 2015 .

DERIVATIVE-FREE OPTIMIZATION OF NOISY FUNCTIONS VIA

J. Nocedal, R. Byrd, A. Berahas, 2018 .

SUBSPACE ACCELERATED MATRIX SPLITTING ALGORITHMS FOR BOUND-CONSTRAINED QUADRATIC PROGRAMMING AND LINEAR COMPLEMENTARITY PROBLEMS

Daniel P. Robinson, J. Nocedal, J. Pang, 2011 .

Post-Award Report for: “Next Generation Modeling Tools for the Real-Time Energy Management of Buildings”

J. Nocedal, 2012 .

Constrained and Composite Optimization via Adaptive Sampling Methods

J. Nocedal, R. Byrd, Raghu Bollapragada, 2020, 2012.15411.

Sequential Quadratic Programming

Stephen J. Wright, J. Nocedal, 1999 .

On the numerical performance of finite-difference-based methods for derivative-free optimization

J. Nocedal, Figen Oztoprak, Figen Öztoprak, 2022, Optim. Methods Softw..

On the Use of Stochastic Hessian Information in Unconstrained Optimization

Gillian M. Chin, J. Nocedal, R. Byrd, 2010 .

Are species trajectories bounded or not

J. Nocedal, W. Boecklen, 1991 .

A line search exact penalty method using steering rules

J. Nocedal, R. Byrd, Gabriel López-Calva, 2010, Mathematical Programming.

On the use of piecewise linear models in nonlinear programming

J. Nocedal, R. Byrd, Yuchen Wu, 2011, Mathematical Programming.

A Limited Memory Algorithm for Bound Constrained Optimization

Jorge Nocedal, Richard H. Byrd, Ciyou Zhu, 1995, SIAM J. Sci. Comput..

A Multi-Batch L-BFGS Method for Machine Learning

Jorge Nocedal, Albert S. Berahas, Martin Takác, 2016, NIPS.

A Progressive Batching L-BFGS Method for Machine Learning pdf

Jorge Nocedal, Ping Tak Peter Tang, Dheevatsa Mudigere, 2018, ICML.

Adaptive Sampling Strategies for Stochastic Optimization

Jorge Nocedal, Richard H. Byrd, Raghu Bollapragada, 2017, SIAM J. Optim..

Local migrations of insectivorous birds in western Mexico: implications for the protection and conservation of their habitats

J. Nocedal, 1994, Bird Conservation International.

Large-Scale Quasi-Newton and Partially Separable Optimization

Stephen J. Wright, J. Nocedal, 1999 .

Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization

J. Nocedal, M. Xuan, Yuchen Xie, 2021, SIAM J. Sci. Comput..

Solving Large nonlinear systems of equations arising in mechanics

Jorge Nocedal, J. Nocedal, 1982 .

Active set and interior methods for nonlinear optimization.

Jorge Nocedal, Richard H. Byrd, J. Nocedal, 1998 .

A Study of Conjugate Gradient Methods.

J. Nocedal, L. Nazareth, 1978 .

A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization

Jorge Nocedal, Hao-Jun Michael Shi, Richard Byrd, 2020, SIAM J. Optim..

Analysis of the BFGS Method with Errors

Jorge Nocedal, Richard Byrd, Yuchen Xie, 2019, SIAM J. Optim..

Constrained Optimization in the Presence of Noise

Jorge Nocedal, Figen Oztoprak, Richard Byrd, 2021, SIAM J. Optim..

An inexact successive quadratic approximation method for L-1 regularized optimization

J. Nocedal, R. Byrd, Figen Oztoprak, 2015, Mathematical Programming.

A second-order method for convex 1-regularized optimization with active-set prediction

Jorge Nocedal, Figen Öztoprak, Andreas Wächter, 2015, Optim. Methods Softw..

On the Local Behavior of an Interior Point Method forNonlinear

J. Nocedal, R. Byrd, Guanghui Liu, 1998 .

TOWARDS A DISCRETE NEWTON METHOD WITH MEMORYFOR LARGE-SCALE

J. Nocedal, C. Zhu, OPTIMIZATIONRichard H. Byrd, 1996 .

Line Search Methods

Stephen J. Wright, J. Nocedal, 1999 .

Numerical Optimization

Stephen J. Wright, J. Nocedal, 2018, Fundamental Statistical Inference.

Quasi-Newton Methods

H. Walker, J. Nocedal, R. Tibshirani, 2021, Linear and Nonlinear Programming.

A trust region method for noisy unconstrained optimization

J. Nocedal, Shigeng Sun, 2023, Mathematical Programming.

Introducing a constructivist approach to applying programming skills in engineering analysis

J. Nocedal, A.F. McKenna, R. Freeman, 2005, Proceedings Frontiers in Education 35th Annual Conference.

Noise-Tolerant Optimization Methods for the Solution of a Robust Design Problem

J. Nocedal, Shigeng Sun, Yuchen Lou, 2024, arXiv.org.

ON THE METHOD OF CONJUGATE GRADIENTS FOR FUNCTION MINIMIZATION

J. Nocedal, 1978 .

A Reduced Hessian Method for Large-Scale Constrained Optimization

J. Nocedal, L. Biegler, C. Schmid, 1995, SIAM J. Optim..

Optimization Models

M. Teboulle, J. Nocedal, L. Ghaoui, 2014 .