Jorge Nocedal - Citas de Google Académico

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Richard ByrdUniversity of ColoradoDirección de correo verificada de colorado.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinDirección de correo verificada de cs.wisc.edu
Jose Luis MoralesDepartamento de Química. CINVESTAV. CDMXDirección de correo verificada de cinvestav.mx
Frank E. CurtisLehigh UniversityDirección de correo verificada de lehigh.edu
Jean Charles GilbertINRIA Paris, FranceDirección de correo verificada de inria.fr
Nick GouldSTFC-Rutherford Appleton LaboratoryDirección de correo verificada de stfc.ac.uk
Michael L. OvertonProfessor of Computer Science and Mathematics, New York UniversityDirección de correo verificada de cs.nyu.edu
Ya-xiang YuanAcademy of Mathematics and Systems Science, Chinese Academy of SciencesDirección de correo verificada de lsec.cc.ac.cn
Mikhail SmelyanskiyIntelDirección de correo verificada de intel.com
Nitish Shirish KeskarSalesforce ResearchDirección de correo verificada de salesforce.com
Yuchen WuGoogleDirección de correo verificada de u.northwestern.edu
Raghu BollapragadaArgonne National LaboratoryDirección de correo verificada de anl.gov
Leon BottouFacebook AI ResearchDirección de correo verificada de bottou.org
Andreas WaechterNorthwestern UniversityDirección de correo verificada de northwestern.edu
Lorenz T. BieglerCovestro University Professor of Chemical Engineering, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Albert S. BerahasPostdoctoral Research Fellow, Lehigh UniversityDirección de correo verificada de u.northwestern.edu
Jong-Shi PangDaniel J. Epstein Chair Professor of Industrial and Systems EngineeringDirección de correo verificada de usc.edu
Daniel P. RobinsonAssociate Professor, Lehigh UniversityDirección de correo verificada de lehigh.edu
Hao-Jun Michael ShiGraduate Student, Industrial Engineering and Management Sciences, Northwestern UniversityDirección de correo verificada de u.northwestern.edu

Jorge Nocedal

Professor, Industrial Engineering, Northwestern University

No hay ninguna dirección de correo electrónico verificada. - Página principal

Optimization Machine Learning Scientific Computing


Título	Citado por	Año
Numerical Optimization, Second Edition J Nocedal, SJ Wright Numerical optimization, 497-528, 2006	27301*	2006
On the limited memory BFGS method for large scale optimization DC Liu, J Nocedal Mathematical programming 45 (1-3), 503-528, 1989	5434	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	4165	1995
Updating quasi-Newton matrices with limited storage J Nocedal Mathematics of computation 35 (151), 773-782, 1980	2510	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	2134	1997
An interior point algorithm for large-scale nonlinear programming RH Byrd, ME Hribar, J Nocedal SIAM Journal on Optimization 9 (4), 877-900, 1999	1455	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	1306	2000
Global convergence properties of conjugate gradient methods for optimization JC Gilbert, J Nocedal SIAM Journal on optimization 2 (1), 21-42, 1992	1130	1992
Numerical optimization S Wright, J Nocedal Springer Science 35 (67-68), 7, 1999	931	1999
Knitro: An Integrated Package for Nonlinear Optimization RH Byrd, J Nocedal, RA Waltz Large-scale nonlinear optimization, 35-59, 2006	888	2006
Representations of quasi-Newton matrices and their use in limited memory methods RH Byrd, J Nocedal, RB Schnabel Mathematical Programming 63 (1-3), 129-156, 1994	793	1994
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	772	2006
Optimization methods for large-scale machine learning L Bottou, FE Curtis, J Nocedal Siam Review 60 (2), 223-311, 2018	744	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	668	2016
Theory of algorithms for unconstrained optimization J Nocedal Acta numerica 1, 199-242, 1992	437	1992
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	407	1989
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	390	1987
Projected Hessian updating algorithms for nonlinearly constrained optimization J Nocedal, ML Overton SIAM Journal on Numerical Analysis 22 (5), 821-850, 1985	320	1985
Combining trust region and line search techniques J Nocedal, Y Yuan Advances in nonlinear programming, 153-175, 1998	301	1998
On the solution of equality constrained quadratic programming problems arising in optimization NIM Gould, ME Hribar, J Nocedal SIAM Journal on Scientific Computing 23 (4), 1376-1395, 2001	295	2001

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