Jorge Nocedal

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Richard ByrdUniversity of ColoradoVerified email at colorado.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerified email at cs.wisc.edu
Jose Luis MoralesFacultad de Química, UNAM. CDMXVerified email at unam.mx
Frank E. CurtisLehigh UniversityVerified email at lehigh.edu
Nitish Shirish KeskarSalesforce ResearchVerified email at salesforce.com
Mikhail SmelyanskiyFacebookVerified email at intel.com
Jean Charles GilbertINRIA Paris, FranceVerified email at inria.fr
Nick GouldSTFC-Rutherford Appleton LaboratoryVerified email at stfc.ac.uk
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityVerified email at cs.nyu.edu
Raghu BollapragadaThe University of Texas at AustinVerified email at utexas.edu
Ya-xiang YuanAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at lsec.cc.ac.cn
Yuchen WuGoogleVerified email at u.northwestern.edu
Leon BottouFacebook AI ResearchVerified email at bottou.org
Andreas WaechterNorthwestern UniversityVerified email at northwestern.edu
Albert S. BerahasAssistant Professor, University of MichiganVerified email at umich.edu
Hao-Jun Michael ShiResearch Scientist, MetaVerified email at fb.com
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringVerified email at usc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu

Jorge Nocedal

Professor, Industrial Engineering, Northwestern University

Verified email at NORTHWESTERN.EDU - Homepage

Optimization Machine Learning Scientific Computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Numerical Optimization, Second Edition J Nocedal, SJ Wright Numerical optimization, 497-528, 2006	36371*	2006
On the limited memory BFGS method for large scale optimization DC Liu, J Nocedal Mathematical programming 45 (1), 503-528, 1989	7574	1989
A limited memory algorithm for bound constrained optimization RH Byrd, P Lu, J Nocedal, C Zhu SIAM Journal on scientific computing 16 (5), 1190-1208, 1995	6065	1995
Updating quasi-Newton matrices with limited storage J Nocedal Mathematics of computation 35 (151), 773-782, 1980	3253	1980
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization C Zhu, RH Byrd, P Lu, J Nocedal ACM Transactions on mathematical software (TOMS) 23 (4), 550-560, 1997	3198	1997
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal Siam Review 60 (2), 223-311, 2018	2454	2018
On large-batch training for deep learning: Generalization gap and sharp minima NS Keskar, D Mudigere, J Nocedal, M Smelyanskiy, PTP Tang arXiv preprint arXiv:1609.04836, 2016	2106	2016
An interior point algorithm for large-scale nonlinear programming RH Byrd, ME Hribar, J Nocedal SIAM Journal on Optimization 9 (4), 877-900, 1999	1925	1999
A trust region method based on interior point techniques for nonlinear programming RH Byrd, JC Gilbert, J Nocedal Mathematical programming 89 (1), 149-185, 2000	1789	2000
Global convergence properties of conjugate gradient methods for optimization JC Gilbert, J Nocedal SIAM Journal on optimization 2 (1), 21-42, 1992	1361	1992
Numerical optimization S Wright, J Nocedal Springer Science 35 (67-68), 7, 1999	1262	1999
Knitro: An Integrated Package for Nonlinear Optimization RH Byrd, J Nocedal, RA Waltz Large-scale nonlinear optimization, 35-59, 2006	1201	2006
An interior algorithm for nonlinear optimization that combines line search and trust region steps RA Waltz, JL Morales, J Nocedal, D Orban Mathematical programming 107 (3), 391-408, 2006	1086	2006
Representations of quasi-Newton matrices and their use in limited memory methods RH Byrd, J Nocedal, RB Schnabel Mathematical Programming 63 (1), 129-156, 1994	941	1994
A tool for the analysis of quasi-Newton methods with application to unconstrained minimization RH Byrd, J Nocedal SIAM Journal on Numerical Analysis 26 (3), 727-739, 1989	492	1989
Theory of algorithms for unconstrained optimization J Nocedal Acta numerica 1, 199-242, 1992	479	1992
A stochastic quasi-Newton method for large-scale optimization RH Byrd, SL Hansen, J Nocedal, Y Singer SIAM Journal on Optimization 26 (2), 1008-1031, 2016	452	2016
Global convergence of a cass of quasi-Newton methods on convex problems RH Byrd, J Nocedal, YX Yuan SIAM Journal on Numerical Analysis 24 (5), 1171-1190, 1987	448	1987
Remark on “Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization” JL Morales, J Nocedal ACM Transactions on Mathematical Software (TOMS) 38 (1), 1-4, 2011	385	2011
Sample size selection in optimization methods for machine learning RH Byrd, GM Chin, J Nocedal, Y Wu Mathematical programming 134 (1), 127-155, 2012	350	2012

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