Jorge Nocedal

Northwestern University — United States

Mathematics · Physical Sciences

56h-index55.7kcitations183works0.12yr avg
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Research Topics

Advanced Optimization Algorithms Research(111), Sparse and Compressive Sensing Techniques(41), Matrix Theory and Algorithms(40), Iterative Methods for Nonlinear Equations(37), Optimization and Variational Analysis(28)

Publications183 total

A feasible method for constrained derivative-free optimization
Operations Research Letters·2025
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
SIAM Journal on Scientific Computing·2025· 1 cited
A Trust-Region Algorithm for Noisy Equality Constrained Optimization
arXiv (Cornell University)·2024Open Access
Small sample composite fault diagnosis of hydraulic bearings based on improved VME algorithm and mRVM
Journal of applied artificial intelligence.·2024
An Iterative Approach for Solving the SCOPF Problem Applying LP, SOCP, and NLP Subproblems
2024Open Access
A Feasible Method for Constrained Derivative-Free Optimization
arXiv (Cornell University)·2024Open Access
Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
arXiv (Cornell University)·2024Open Access
Constrained Optimization in the Presence of Noise
SIAM Journal on Optimization·2023· 7 cited
Constrained and composite optimization via adaptive sampling methods
IMA Journal of Numerical Analysis·2023· 12 citedOpen Access
A trust region method for noisy unconstrained optimization
Mathematical Programming·2023· 21 cited
On the numerical performance of finite-difference-based methods for derivative-free optimization
Optimization methods & software·2022· 26 cited
Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization
SIAM Journal on Scientific Computing·2022· 14 cited
A Noise-Tolerant Quasi-Newton Algorithm for Unconstrained Optimization
SIAM Journal on Optimization·2022· 7 citedOpen Access
A Trust Region Method for the Optimization of Noisy Functions
arXiv (Cornell University)·2022· 1 citedOpen Access
Adaptive Finite-Difference Interval Estimation for Noisy Derivative-Free Optimization
arXiv (Cornell University)·2021Open Access
Constrained Optimization in the Presence of Noise
arXiv (Cornell University)·2021· 1 citedOpen Access
On the Numerical Performance of Derivative-Free Optimization Methods\n Based on Finite-Difference Approximations
arXiv (Cornell University)·2021Open Access
On the Numerical Performance of Derivative-Free Optimization Methods Based on Finite-Difference Approximations
arXiv (Cornell University)·2021· 8 citedOpen Access
Conditional Random Fields for Labelling Sequential Data in Natural Language Processing [R package crfsuite version 0.3.4]
2020
Limited Memory BFGS Minimizer with Bounds on Parameters with optim() 'C' Interface [R package lbfgsb3c version 2020-3.2]
2020
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Frequent Co-authors

Richard H. Byrd(20), Richard A. Waltz(6), Stephen J. Wright(3), Ciyou Zhu(3), José Luis Morales(3), Frank E. Curtis(3), Stephen J. Wright(3), Figen Öztoprak(3), Cheng‐Di Dong(2), Peihuang Lu(2), Mary E. Hribar(2), Jean Charles Gilbert(2), Nitish Shirish Keskar(2), Dheevatsa Mudigere(2), Mikhail Smelyanskiy(2), Ping Tang(2), Gillian M. Chin(2), Ya-xiang Yuan(2), Nicholas I. M. Gould(2), Michael L. Overton(2)