Jorge Nocedal

83 papers A* 1Misc 2Journal 74Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A feasible method for constrained derivative-free optimization.
Oper. Res. Lett.
Melody Qiming Xuan, Jorge Nocedal
2025 J jnl
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design.
SIAM J. Sci. Comput.
Yuchen Lou, Shigeng Sun, Jorge Nocedal
2024 J jnl
A Trust-Region Algorithm for Noisy Equality Constrained Optimization.
CoRR
Shigeng Sun, Jorge Nocedal
2024 J jnl
Noise-Tolerant Optimization Methods for the Solution of a Robust Design Problem.
CoRR
Yuchen Lou, Shigeng Sun, Jorge Nocedal
2023 J jnl
A trust region method for noisy unconstrained optimization.
Math. Program.
Shigeng Sun, Jorge Nocedal
2023 J jnl
Constrained Optimization in the Presence of Noise.
SIAM J. Optim.
Figen Öztoprak, Richard H. Byrd, Jorge Nocedal
2023 J jnl
On the numerical performance of finite-difference-based methods for derivative-free optimization.
Optim. Methods Softw.
Hao-Jun Michael Shi, Melody Qiming Xuan, Figen Öztoprak, Jorge Nocedal
2022 J jnl
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization.
SIAM J. Optim.
Hao-Jun Michael Shi, Yuchen Xie, Richard H. Byrd, Jorge Nocedal
2022 J jnl
Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization.
SIAM J. Sci. Comput.
Hao-Jun Michael Shi, Yuchen Xie, Melody Qiming Xuan, Jorge Nocedal
2020 J jnl
An investigation of Newton-Sketch and subsampled Newton methods.
Optim. Methods Softw.
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal
2020 J jnl
Analysis of the BFGS Method with Errors.
SIAM J. Optim.
Yuchen Xie, Richard H. Byrd, Jorge Nocedal
2019 J jnl
Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods.
SIAM J. Optim.
Albert S. Berahas, Richard H. Byrd, Jorge Nocedal
2018 A* conf
A Progressive Batching L-BFGS Method for Machine Learning.
ICML
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
2018 J jnl
A Progressive Batching L-BFGS Method for Machine Learning.
CoRR
Raghu Bollapragada, Dheevatsa Mudigere, Jorge Nocedal, Hao-Jun Michael Shi, Ping Tak Peter Tang
2018 J jnl
Adaptive Sampling Strategies for Stochastic Optimization.
SIAM J. Optim.
Raghu Bollapragada, Richard H. Byrd, Jorge Nocedal
2018 J jnl
Optimization Methods for Large-Scale Machine Learning.
SIAM Rev.
Léon Bottou, Frank E. Curtis, Jorge Nocedal
2017 J jnl
An Investigation of Newton-Sketch and Subsampled Newton Methods.
CoRR
Albert S. Berahas, Raghu Bollapragada, Jorge Nocedal
2017 — conf
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.
ICLR
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
2016 — conf
A Multi-Batch L-BFGS Method for Machine Learning.
NIPS
Albert S. Berahas, Jorge Nocedal, Martin Takác
2016 J jnl
A Multi-Batch L-BFGS Method for Machine Learning.
CoRR
Albert S. Berahas, Jorge Nocedal, Martin Takác
2016 J jnl
A Stochastic Quasi-Newton Method for Large-Scale Optimization.
SIAM J. Optim.
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
2016 J jnl
A family of second-order methods for convex ℓ
Math. Program.
Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Figen Öztoprak
2016 J jnl
A second-order method for convex l
Optim. Methods Softw.
Nitish Shirish Keskar, Jorge Nocedal, Figen Öztoprak, Andreas Wächter
2016 J jnl
An inexact successive quadratic approximation method for L-1 regularized optimization.
Math. Program.
Richard H. Byrd, Jorge Nocedal, Figen Öztoprak
2016 J jnl
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.
CoRR
Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang
2016 J jnl
Optimization Methods for Large-Scale Machine Learning.
CoRR
Léon Bottou, Frank E. Curtis, Jorge Nocedal
2015 J jnl
An algorithm for quadratic ℓ
Optim. Methods Softw.
Stefan Solntsev, Jorge Nocedal, Richard H. Byrd
2014 J jnl
A Stochastic Quasi-Newton Method for Large-Scale Optimization.
CoRR
Richard H. Byrd, S. L. Hansen, Jorge Nocedal, Yoram Singer
2014 J jnl
An interior point method for nonlinear programming with infeasibility detection capabilities.
Optim. Methods Softw.
Jorge Nocedal, Figen Öztoprak, Richard A. Waltz
2013 J jnl
On the use of piecewise linear models in nonlinear programming.
Math. Program.
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz, Yuchen Wu
2013 J jnl
Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering.
IEEE Trans. Speech Audio Process.
Gillian M. Chin, Jorge Nocedal, Peder A. Olsen, Steven J. Rennie
2013 J jnl
Subspace Accelerated Matrix Splitting Algorithms for Asymmetric and Symmetric Linear Complementarity Problems.
SIAM J. Optim.
Daniel P. Robinson, Liming Feng, Jorge Nocedal, Jong-Shi Pang
2012 J jnl
A line search exact penalty method using steering rules.
Math. Program.
Richard H. Byrd, Gabriel López-Calva, Jorge Nocedal
2012 — conf
Newton-Like Methods for Sparse Inverse Covariance Estimation.
NIPS
Peder A. Olsen, Figen Öztoprak, Jorge Nocedal, Steven J. Rennie
2012 J jnl
Sample size selection in optimization methods for machine learning.
Math. Program.
Richard H. Byrd, Gillian M. Chin, Jorge Nocedal, Yuchen Wu
2012 Misc conf
Second-order methods for L1 regularized problems in machine learning.
ICASSP
Samantha Hansen, Jorge Nocedal
2011 J jnl
On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning.
SIAM J. Optim.
Richard H. Byrd, Gillian M. Chin, Will Neveitt, Jorge Nocedal
2011 J jnl
On the solution of complementarity problems arising in American options pricing.
Optim. Methods Softw.
Liming Feng, Vadim Linetsky, José Luis Morales, Jorge Nocedal
2011 J jnl
Remark on "algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization".
ACM Trans. Math. Softw.
José Luis Morales, Jorge Nocedal
2010 J jnl
An inexact Newton method for nonconvex equality constrained optimization.
Math. Program.
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2010 J jnl
Infeasibility Detection and SQP Methods for Nonlinear Optimization.
SIAM J. Optim.
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2009 J jnl
A Matrix-Free Algorithm for Equality Constrained Optimization Problems with Rank-Deficient Jacobians.
SIAM J. Optim.
Frank E. Curtis, Jorge Nocedal, Andreas Wächter
2009 J jnl
Adaptive Barrier Update Strategies for Nonlinear Interior Methods.
SIAM J. Optim.
Jorge Nocedal, Andreas Wächter, Richard A. Waltz
2009 — conf
Fast and parallel algorithms for pricing American options: keynote.
SC-WHPCF
Jorge Nocedal
2009 J jnl
On the geometry phase in model-based algorithms for derivative-free optimization.
Optim. Methods Softw.
Giovanni Fasano, José Luis Morales, Jorge Nocedal
2008 J jnl
An Inexact SQP Method for Equality Constrained Optimization.
SIAM J. Optim.
Richard H. Byrd, Frank E. Curtis, Jorge Nocedal
2008 J jnl
An algorithm for the fast solution of symmetric linear complementarity problems.
Numerische Mathematik
José Luis Morales, Jorge Nocedal, Mikhail Smelyanskiy
2008 J jnl
Steering exact penalty methods for nonlinear programming.
Optim. Methods Softw.
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
2007 J jnl
Steplength selection in interior-point methods for quadratic programming.
Appl. Math. Lett.
Frank E. Curtis, Jorge Nocedal
2006 Misc conf
A Numerical Study of Active-Set and Interior-Point Methods for Bound Constrained Optimization.
HPSC
Long Hei, Jorge Nocedal, Richard A. Waltz
2006 J jnl
An interior algorithm for nonlinear optimization that combines line search and trust region steps.
Math. Program.
Richard A. Waltz, José Luis Morales, Jorge Nocedal, Dominique Orban
2006 J jnl
Interior Methods for Mathematical Programs with Complementarity Constraints.
SIAM J. Optim.
Sven Leyffer, Gabriel López-Calva, Jorge Nocedal
2005 J jnl
On the Convergence of Successive Linear-Quadratic Programming Algorithms.
SIAM J. Optim.
Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
2004 J jnl
A starting point strategy for nonlinear interior methods.
Appl. Math. Lett.
E. Michael Gertz, Jorge Nocedal, Annick Sartenaer
2004 J jnl
An algorithm for nonlinear optimization using linear programming and equality constrained subproblems.
Math. Program.
Richard H. Byrd, Nicholas I. M. Gould, Jorge Nocedal, Richard A. Waltz
2004 J jnl
On the convergence of Newton iterations to non-stationary points.
Math. Program.
Richard H. Byrd, Marcelo Marazzi, Jorge Nocedal
2003 J jnl
Feasible Interior Methods Using Slacks for Nonlinear Optimization.
Comput. Optim. Appl.
Richard H. Byrd, Jorge Nocedal, Richard A. Waltz
2003 — conf
Solving Optimization Problems Using Parallel and Grid Computing.
ENC
Jorge Nocedal
2002 J jnl
Enriched Methods for Large-Scale Unconstrained Optimization.
Comput. Optim. Appl.
José Luis Morales, Jorge Nocedal
2002 J jnl
On the Behavior of the Gradient Norm in the Steepest Descent Method.
Comput. Optim. Appl.
Jorge Nocedal, Annick Sartenaer, Ciyou Zhu
2002 J jnl
Wedge trust region methods for derivative free optimization.
Math. Program.
Marcelo Marazzi, Jorge Nocedal
2001 J jnl
Algorithm 809: PREQN: Fortran 77 subroutines for preconditioning the conjugate gradient method.
ACM Trans. Math. Softw.
José Luis Morales, Jorge Nocedal
2001 J jnl
On the Solution of Equality Constrained Quadratic Programming Problems Arising in Optimization.
SIAM J. Sci. Comput.
Nicholas I. M. Gould, Mary E. Hribar, Jorge Nocedal
2000 J jnl
A trust region method based on interior point techniques for nonlinear programming.
Math. Program.
Richard H. Byrd, Jean Charles Gilbert, Jorge Nocedal
2000 J jnl
Automatic Preconditioning by Limited Memory Quasi-Newton Updating.
SIAM J. Optim.
José Luis Morales, Jorge Nocedal
2000 J jnl
Numerical Experience with a Reduced Hessian Method for Large Scale Constrained Optimization.
Comput. Optim. Appl.
Lorenz T. Biegler, Jorge Nocedal, Claudia Schmid, David Ternet
1999 J jnl
An Interior Point Algorithm for Large-Scale Nonlinear Programming.
SIAM J. Optim.
Richard H. Byrd, Mary E. Hribar, Jorge Nocedal
1999 — book
Numerical Optimization
Jorge Nocedal, Stephen J. Wright
1998 J jnl
On the Implementation of an Algorithm for Large-Scale Equality Constrained Optimization.
SIAM J. Optim.
Marucha Lalee, Jorge Nocedal, Todd D. Plantenga
1997 J jnl
Algorithm 778: L-BFGS-B: Fortran Subroutines for Large-Scale Bound-Constrained Optimization.
ACM Trans. Math. Softw.
Ciyou Zhu, Richard H. Byrd, Peihuang Lu, Jorge Nocedal
1995 J jnl
A Limited Memory Algorithm for Bound Constrained Optimization.
SIAM J. Sci. Comput.
Richard H. Byrd, Peihuang Lu, Jorge Nocedal, Ciyou Zhu
1995 J jnl
A Reduced Hessian Method for Large-Scale Constrained Optimization.
SIAM J. Optim.
Lorenz T. Biegler, Jorge Nocedal, Claudia Schmid
1994 J jnl
Representations of quasi-Newton matrices and their use in limited memory methods.
Math. Program.
Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel
1993 J jnl
Analysis of a self-scaling quasi-Newton method.
Math. Program.
Jorge Nocedal, Ya-Xiang Yuan
1993 J jnl
Automatic Column Scaling Strategies for Quasi-Newton Methods.
SIAM J. Optim.
Marucha Lalee, Jorge Nocedal
1992 J jnl
Global Convergence Properties of Conjugate Gradient Methods for Optimization.
SIAM J. Optim.
Jean Charles Gilbert, Jorge Nocedal
1992 J jnl
On the Behavior of Broyden's Class of Quasi-Newton Methods.
SIAM J. Optim.
Richard H. Byrd, Dong C. Liu, Jorge Nocedal
1991 J jnl
A Numerical Study of the Limited Memory BFGS Method and the Truncated-Newton Method for Large Scale Optimization.
SIAM J. Optim.
Stephen G. Nash, Jorge Nocedal
1991 J jnl
An analysis of reduced Hessian methods for constrained optimization.
Math. Program.
Richard H. Byrd, Jorge Nocedal
1989 J jnl
On the limited memory BFGS method for large scale optimization.
Math. Program.
Dong C. Liu, Jorge Nocedal
1985 J jnl
Evaluation of Step Directions in Optimization Algorithms.
ACM Trans. Math. Softw.
William C. Davidon, Jorge Nocedal
1982 J jnl
Conjugate direction methods with variable storage.
Math. Program.
Larry Nazareth, Jorge Nocedal
1979 J jnl
Analysis of a new algorithm for one-dimensional minimization.
Computing
Petter Bjørstad, Jorge Nocedal